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16.30 Estimation and Control of Aerospace Systems (MIT) 16.30 Estimation and Control of Aerospace Systems (MIT)

Description

This course focuses on the design of control systems. Topics covered include: frequency domain and state space techniques; control law design using Nyquist diagrams and Bode plots; state feedback, state estimation, and the design of dynamic control laws; and elementary analysis of nonlinearities and their impact on control design. There is extensive use of computer-aided control design tools. Applications to various aerospace systems, including navigation, guidance, and control of vehicles, are also discussed. This course focuses on the design of control systems. Topics covered include: frequency domain and state space techniques; control law design using Nyquist diagrams and Bode plots; state feedback, state estimation, and the design of dynamic control laws; and elementary analysis of nonlinearities and their impact on control design. There is extensive use of computer-aided control design tools. Applications to various aerospace systems, including navigation, guidance, and control of vehicles, are also discussed.

Subjects

estimation of aerospace systems | estimation of aerospace systems | control of aerospace systems | control of aerospace systems | control systems | control systems | frequency domain | frequency domain | state space | state space | control law design | control law design | Nyquist diagram | Nyquist diagram | Bode plot | Bode plot | state feedback | state feedback | state estimation | state estimation | dynamic control | dynamic control | nonlinearities | nonlinearities | nonlinearity | nonlinearity | control design | control design | computer-aided control design | computer-aided control design | feedback control system | feedback control system

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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6.780 Semiconductor Manufacturing (MIT) 6.780 Semiconductor Manufacturing (MIT)

Description

6.780 covers statistical modeling and the control of semiconductor fabrication processes and plants. Topics covered include: design of experiments, response surface modeling, and process optimization; defect and parametric yield modeling; process/device/circuit yield optimization; monitoring, diagnosis, and feedback control of equipment and processes; and analysis and scheduling of semiconductor manufacturing operations. 6.780 covers statistical modeling and the control of semiconductor fabrication processes and plants. Topics covered include: design of experiments, response surface modeling, and process optimization; defect and parametric yield modeling; process/device/circuit yield optimization; monitoring, diagnosis, and feedback control of equipment and processes; and analysis and scheduling of semiconductor manufacturing operations.

Subjects

Semiconductor manufacturing | Semiconductor manufacturing | statistics | statistics | distributions | distributions | estimation | estimation | hypothesis testing | hypothesis testing | statistical process control | statistical process control | control chart | control chart | control chart design | control chart design | design of experiments | design of experiments | empirical equipment | empirical equipment | process modeling | process modeling | experimental design | experimental design | yield models | yield models | spatial variation | spatial variation | spatial models | spatial models | design for manufacturability | design for manufacturability | equipment monitoring | equipment monitoring | equipment diagnosis | equipment diagnosis | equipment control | equipment control | run by run | run by run | multistage process control | multistage process control | scheduling | scheduling | planning | planning | factory modeling | factory modeling | factory infrastructure | factory infrastructure | environmental | environmental | health and safety | health and safety | computer integrated manufacturing | computer integrated manufacturing | factory operation | factory operation | factory design | factory design | advanced process control | advanced process control | yield learning | yield learning

License

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16.422 Human Supervisory Control of Automated Systems (MIT) 16.422 Human Supervisory Control of Automated Systems (MIT)

Description

Human Supervisory Control of Automated Systems discusses elements of the interactions between humans and machines.  These elements include: assignment of roles and authority; tradeoffs between human control and human monitoring; and human intervention in automatic processes.  Further topics comprise: performance, optimization and social implications of the system; enhanced human interfaces; decision aiding; and automated alterting systems.  Topics refer to applications in aerospace, industrial and transportation systems. Human Supervisory Control of Automated Systems discusses elements of the interactions between humans and machines.  These elements include: assignment of roles and authority; tradeoffs between human control and human monitoring; and human intervention in automatic processes.  Further topics comprise: performance, optimization and social implications of the system; enhanced human interfaces; decision aiding; and automated alterting systems.  Topics refer to applications in aerospace, industrial and transportation systems.

Subjects

Human supervisory control | Human supervisory control | Dynamic systems | Dynamic systems | Complex dynamic systems | Complex dynamic systems | Automation | Automation | Automated systems | Automated systems | Decision processes | Decision processes | Man-machine | Man-machine | Supervisory functions | Supervisory functions | Human-centered | Human-centered | Systems engineering design | Systems engineering design | Semi-structured models | Semi-structured models | Tast analysis | Tast analysis | Function allocation | Function allocation | Memory | Memory | Attention | Attention | Classical decision theory | Classical decision theory | Signal detection | Signal detection | Uncertainty | Uncertainty | Naturalistic decision making | Naturalistic decision making | Workload | Workload | Situation awareness | Situation awareness | Aircraft displays | Aircraft displays | Flight management systems | Flight management systems | Human error | Human error | Reliability | Reliability | Cooperative decision support | Cooperative decision support | Adaptive automation | Adaptive automation | Alerting systems | Alerting systems | Command and control | Command and control | Air traffic control | Air traffic control | Unmanned space vehicles | Unmanned space vehicles | Automobile systems | Automobile systems | Telemedicine | Telemedicine | Telerobotics | Telerobotics | Medical interface design | Medical interface design | Nuclear control plants | Nuclear control plants | Process control plants | Process control plants

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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6.832 Underactuated Robotics (MIT) 6.832 Underactuated Robotics (MIT)

Description

Includes audio/video content: AV lectures. Robots today move far too conservatively, using control systems that attempt to maintain full control authority at all times. Humans and animals move much more aggressively by routinely executing motions which involve a loss of instantaneous control authority. Controlling nonlinear systems without complete control authority requires methods that can reason about and exploit the natural dynamics of our machines. This course discusses nonlinear dynamics and control of underactuated mechanical systems, with an emphasis on machine learning methods. Topics include nonlinear dynamics of passive robots (walkers, swimmers, flyers), motion planning, partial feedback linearization, energy-shaping control, analytical optimal control, reinforcement learning/a Includes audio/video content: AV lectures. Robots today move far too conservatively, using control systems that attempt to maintain full control authority at all times. Humans and animals move much more aggressively by routinely executing motions which involve a loss of instantaneous control authority. Controlling nonlinear systems without complete control authority requires methods that can reason about and exploit the natural dynamics of our machines. This course discusses nonlinear dynamics and control of underactuated mechanical systems, with an emphasis on machine learning methods. Topics include nonlinear dynamics of passive robots (walkers, swimmers, flyers), motion planning, partial feedback linearization, energy-shaping control, analytical optimal control, reinforcement learning/a

Subjects

underactuated robotics | underactuated robotics | actuated systems | actuated systems | nonlinear dynamics | nonlinear dynamics | simple pendulum | simple pendulum | optimal control | optimal control | double integrator | double integrator | quadratic regulator | quadratic regulator | Hamilton-Jacobi-Bellman sufficiency | Hamilton-Jacobi-Bellman sufficiency | minimum time control | minimum time control | acrobot | acrobot | cart-pole | cart-pole | partial feedback linearization | partial feedback linearization | energy shaping | energy shaping | policy search | policy search | open-loop optimal control | open-loop optimal control | trajectory stabilization | trajectory stabilization | iterative linear quadratic regulator | iterative linear quadratic regulator | differential dynamic programming | differential dynamic programming | walking models | walking models | rimless wheel | rimless wheel | compass gait | compass gait | kneed compass gait | kneed compass gait | feedback control | feedback control | running models | running models | spring-loaded inverted pendulum | spring-loaded inverted pendulum | Raibert hoppers | Raibert hoppers | motion planning | motion planning | randomized motion planning | randomized motion planning | rapidly-exploring randomized trees | rapidly-exploring randomized trees | probabilistic road maps | probabilistic road maps | feedback motion planning | feedback motion planning | planning with funnels | planning with funnels | linear quadratic regulator | linear quadratic regulator | function approximation | function approximation | state distribution dynamics | state distribution dynamics | state estimation | state estimation | stochastic optimal control | stochastic optimal control | aircraft | aircraft | swimming | swimming | flapping flight | flapping flight | randomized policy gradient | randomized policy gradient | model-free value methods | model-free value methods | temporarl difference learning | temporarl difference learning | Q-learning | Q-learning | actor-critic methods | actor-critic methods

License

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16.31 Feedback Control Systems (MIT) 16.31 Feedback Control Systems (MIT)

Description

The goal of this subject is to teach the fundamentals of control design and analysis using state-space methods. This includes both the practical and theoretical aspects of the topic. By the end of the course, students should be able to design controllers using state-space methods and evaluate whether these controllers are "robust," that is, if they are likely to work well in practice. The goal of this subject is to teach the fundamentals of control design and analysis using state-space methods. This includes both the practical and theoretical aspects of the topic. By the end of the course, students should be able to design controllers using state-space methods and evaluate whether these controllers are "robust," that is, if they are likely to work well in practice.

Subjects

feedback control | feedback control | feedback control system | feedback control system | state-space | state-space | controllability | controllability | observability | observability | transfer functions | transfer functions | canonical forms | canonical forms | controllers | controllers | pole-placement | pole-placement | optimal control | optimal control | Kalman filter | Kalman filter

License

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2.830J Control of Manufacturing Processes (SMA 6303) (MIT) 2.830J Control of Manufacturing Processes (SMA 6303) (MIT)

Description

Includes audio/video content: AV special element video, AV lectures. This course explores statistical modeling and control in manufacturing processes. Topics include the use of experimental design and response surface modeling to understand manufacturing process physics, as well as defect and parametric yield modeling and optimization. Various forms of process control, including statistical process control, run by run and adaptive control, and real-time feedback control, are covered. Application contexts include semiconductor manufacturing, conventional metal and polymer processing, and emerging micro-nano manufacturing processes. Includes audio/video content: AV special element video, AV lectures. This course explores statistical modeling and control in manufacturing processes. Topics include the use of experimental design and response surface modeling to understand manufacturing process physics, as well as defect and parametric yield modeling and optimization. Various forms of process control, including statistical process control, run by run and adaptive control, and real-time feedback control, are covered. Application contexts include semiconductor manufacturing, conventional metal and polymer processing, and emerging micro-nano manufacturing processes.

Subjects

2.830 | 2.830 | 6.780 | 6.780 | ESD.63 | ESD.63 | Process control | Process control | manufacturing process | manufacturing process | discrete system feedback control theory | discrete system feedback control theory | empirical and adaptive modeling | empirical and adaptive modeling | off-line optimization | off-line optimization | statistical process control | statistical process control | real-time control. | real-time control. | real-time control | real-time control | one-factor-at-a-time | one-factor-at-a-time | robustness | robustness | Shewhart Hypothesis | Shewhart Hypothesis | semiconductor manufacturing | semiconductor manufacturing

License

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2.830J Control of Manufacturing Processes (SMA 6303) (MIT) 2.830J Control of Manufacturing Processes (SMA 6303) (MIT)

Description

The objective of this subject is to understand the nature of manufacturing process variation and the methods for its control. First, a general process model for control is developed to understand the limitations a specific process places on the type of control used. A general model for process variation is presented and three methods are developed to minimize variations: Statistical Process Control, Process Optimization and in-process Feedback Control. These are considered in a hierarchy of cost-performance tradeoffs, where performance is based on changes in process capability.This course was also taught as part of the Singapore-MIT Alliance (SMA) programme as course number SMA 6306 (Manufacturing Physics III: Process Optimisation and Control). The objective of this subject is to understand the nature of manufacturing process variation and the methods for its control. First, a general process model for control is developed to understand the limitations a specific process places on the type of control used. A general model for process variation is presented and three methods are developed to minimize variations: Statistical Process Control, Process Optimization and in-process Feedback Control. These are considered in a hierarchy of cost-performance tradeoffs, where performance is based on changes in process capability.This course was also taught as part of the Singapore-MIT Alliance (SMA) programme as course number SMA 6306 (Manufacturing Physics III: Process Optimisation and Control).

Subjects

Process control | Process control | manufacturing process | manufacturing process | discrete system feedback control theory | discrete system feedback control theory | empirical and adaptive modeling | empirical and adaptive modeling | off-line optimization | off-line optimization | statistical process control | statistical process control | real-time control. | real-time control. | real-time control | real-time control | 2.830 | 2.830

License

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Readme file for Distributed Web Systems

Description

This readme file contains details of links to all the Distributed Web Systems module's material held on Jorum and information about the module as well.

Subjects

ukoer | web system tutorial | distributed system tutorial | web systems tutorial | distributed system lecture | web systems lecture | web system lecture | introduction to distributed systems lecture | interprocess communications | tomcat reading material | distributed systems architecture | interprocess communications lecture | distributed systems architecture quiz | web systems | distributed system | web system | servlets practical | distributed systems lecture | servlets tutorial | distributed systems quiz | java networking practical | distributed objects and remote method invocation lecture | distributed objects and rmi quiz | time and global state lecture | distributed systems architectures | distributed web systems | distributed web system | remote methods invocation practical | distributed systems | java servlet | transactions and currency control quiz | coordination and agreement lecture | coordination and agreement quiz | time control practical | replication lecture | java servlets | election algorithms practical | mvc approach practical | introduction to distributed web systems | distributed file systems lecture | cookies tutorial | session tracking tutorial | distributed objects lecture | web system quiz | distributed system quiz | web system practical | distributed web systems practical | distributed web system practical | distributed web system quiz | interprocess communication practical | distributed systems tutorial | distributed system practical | distributed web systems tutorial | distributed web systems lecture | distributed web systems quiz | distributed systems practical | java servlet practical | java servlets practical | interprocess communication quiz | distributed systems architectures quiz | distributed objects | distributed systems architecture lecture | distributed web system lecture | java servlet reading material | web system reading material | java servlets reading material | web systems reading material | distributed web systems reading material | distributed web system reading material | v | introduction to distributed web systems lecture | java servlets lecture | distributed web system tutorial | cookies and session tracking tutorial | distributed object lecture | distributed objects and remote method invocation practical | remote method invocation lecture | web systems quiz | fundamental models in distributed systems quiz | interprocess communications practical | web systems practical | request data tutorial | response data tutorial | servlet tutorial | java servlets tutorial | fundamental models in distributed systems lecture | interprocess communications quiz | interprocess communication lecture | distributed systems architectures lecture | distributed system reading material | distributed systems reading material | java servlet lecture | distributed objects quiz | remote method invocation quiz | distributed objects and remote method invocation quiz | distributed object quiz | fundamental models in distributed systems practical | time and global states lecture | java server pages tutorial | java server page tutorial | jsp tutorial | time and global state quiz | time and global states quiz | remote method invocation practical | distributed objects practical | distributed object practical | transactions and currency control lecture | transaction lecture | concurrency lecture | concurrency control lecture | transaction quiz | concurrency quiz | concurrency control quiz | request data practical | response data practical | servlet practical | cookies practical | session tracking practical | cookies and session tracking practical | time and global state practical | time and global states practical | java server pages practical | java server page practical | jsp practical | java beans tutorial | replication quiz | p2p lecture | peer to peer systems lecture | peer to peer system lecture | model-view-controller architecture tutorial | p2p quiz | peer to peer systems quiz | peer to peer system quiz | coordination and agreement practical | java beans practical | name services lecture | name service lecture | name services quiz | name service quiz | model-view-controller architecture practical | web services lecture | semantic web lecture | web services quiz | semantic web quiz | web services practical | semantic web practical | distributed file systems quiz | interprocess communication | fundamental models in distributed systems | request data | response data | servlet | remote method invocation | distributed objects and remote method invocation | distributed object | cookies | session tracking | cookies and session tracking | time and global state | time and global states | java server pages | java server page | jsp | transactions and currency control | transaction | concurrency | concurrency control | coordination and agreement | replication | java beans | p2p | peer to peer systems | peer to peer system | model-view-controller architecture | name services | name service | web services | semantic web | distributed file systems | jdbc tutorial | java database connectivity tutorial | jdbc practical | java database connectivity practical | jdbc | java database connectivity | Computer science | I100

License

Attribution-Noncommercial-Share Alike 2.0 UK: England & Wales Attribution-Noncommercial-Share Alike 2.0 UK: England & Wales http://creativecommons.org/licenses/by-nc-sa/2.0/uk/ http://creativecommons.org/licenses/by-nc-sa/2.0/uk/

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10.450 Process Dynamics, Operations, and Control (MIT) 10.450 Process Dynamics, Operations, and Control (MIT)

Description

This course introduces dynamic processes and the engineering tasks of process operations and control. Subject covers modeling the static and dynamic behavior of processes; control strategies; design of feedback, feedforward, and other control structures; and applications to process equipment. Dedication In preparing this material, the author has recalled with pleasure his own introduction, many years ago, to Process Control. This OCW course is dedicated with gratitude, to Prof. W. C. Clements of the University of Alabama. This course introduces dynamic processes and the engineering tasks of process operations and control. Subject covers modeling the static and dynamic behavior of processes; control strategies; design of feedback, feedforward, and other control structures; and applications to process equipment. Dedication In preparing this material, the author has recalled with pleasure his own introduction, many years ago, to Process Control. This OCW course is dedicated with gratitude, to Prof. W. C. Clements of the University of Alabama.

Subjects

process dynamics | process dynamics | control feedback | control feedback | cascade | cascade | tank | tank | series | series | operations | operations | chemical engineering | chemical engineering | controller | controller | valve | valve | transducer | transducer | feedforward | feedforward | differential equations | differential equations | LaPlace transform | LaPlace transform | exothermic | exothermic | reactor | reactor | control systems | control systems | control strategies | control strategies | control structures | control structures

License

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6.334 Power Electronics (MIT) 6.334 Power Electronics (MIT)

Description

6.334 examines the application of electronics to energy conversion and control. Topics covered include: phase-controlled rectifier/inverter circuits, DC/DC converters, high-frequency inverters, and motion control systems; characteristics of power semiconductor devices: diodes, bipolar and field effect transistors, IGBTS, and thyristors; modeling, analysis, and control techniques; magnetic circuits. Numerous application examples are covered. 6.334 examines the application of electronics to energy conversion and control. Topics covered include: phase-controlled rectifier/inverter circuits, DC/DC converters, high-frequency inverters, and motion control systems; characteristics of power semiconductor devices: diodes, bipolar and field effect transistors, IGBTS, and thyristors; modeling, analysis, and control techniques; magnetic circuits. Numerous application examples are covered.

Subjects

power electronics | power electronics | electronics | electronics | energy | energy | phase-controlled rectifier | phase-controlled rectifier | inverter circuits | inverter circuits | dc | dc | dc/dc converters | dc/dc converters | high-frequency inverters | high-frequency inverters | motion control systems | motion control systems | power semiconductors | power semiconductors | diodes | diodes | bipolar | bipolar | field effect transistors | field effect transistors | IGBTS | IGBTS | thyristors | thyristors | magnetic circuits | magnetic circuits | energy conversion | energy conversion | energy control | energy control | phas-controlled rectifier/invertor circuits | phas-controlled rectifier/invertor circuits | bipolar transistors | bipolar transistors | field effect transisitors | field effect transisitors | modeling | modeling | analysis | analysis | control techniques | control techniques | application | application

License

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1.224J Carrier Systems (MIT) 1.224J Carrier Systems (MIT)

Description

Carrier systems involve the design, operation and management of transportation networks, assets, personnel, freight and passengers. In this course, we will present models and tools for analyzing, optimizing, planning, managing and controlling carrier systems. Carrier systems involve the design, operation and management of transportation networks, assets, personnel, freight and passengers. In this course, we will present models and tools for analyzing, optimizing, planning, managing and controlling carrier systems.

Subjects

carrier systems | carrier systems | design | design | operation | operation | management | management | personnel | personnel | freight and passengers | freight and passengers | models and tools for analyzing | models and tools for analyzing | optimization | optimization | planning | planning | managing and controlling | managing and controlling | transportation networks | transportation networks | assets | assets | freight | freight | passengers | passengers | models | models | tools | tools | analyzing | analyzing | optimizing | optimizing | managing | managing | controlling | controlling | linear programming | linear programming | software | software | integer programming | integer programming | direct transportation | direct transportation | procurement | procurement | transit vehicle scheduling | transit vehicle scheduling | transit crew scheduling | transit crew scheduling | airline routing | airline routing | real-time operations control | real-time operations control | freight transportation | freight transportation | analysis | analysis | plans | plans | control | control | designing | designing | 1.224 | 1.224 | ESD.204 | ESD.204

License

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16.323 Principles of Optimal Control (MIT) 16.323 Principles of Optimal Control (MIT)

Description

This course studies basic optimization and the principles of optimal control. It considers deterministic and stochastic problems for both discrete and continuous systems. The course covers solution methods including numerical search algorithms, model predictive control, dynamic programming, variational calculus, and approaches based on Pontryagin's maximum principle, and it includes many examples and applications of the theory. This course studies basic optimization and the principles of optimal control. It considers deterministic and stochastic problems for both discrete and continuous systems. The course covers solution methods including numerical search algorithms, model predictive control, dynamic programming, variational calculus, and approaches based on Pontryagin's maximum principle, and it includes many examples and applications of the theory.

Subjects

nonlinear optimization | nonlinear optimization | dynamic programming | dynamic programming | HJB Equation | HJB Equation | calculus of variations | calculus of variations | constrained optimal control | constrained optimal control | singular arcs | singular arcs | stochastic optimal control | stochastic optimal control | LQG robustness | LQG robustness | feedback control systems | feedback control systems | model predictive control | model predictive control | line search methods | line search methods | Lagrange multipliers | Lagrange multipliers | discrete LQR | discrete LQR

License

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16.30 Estimation and Control of Aerospace Systems (MIT)

Description

This course focuses on the design of control systems. Topics covered include: frequency domain and state space techniques; control law design using Nyquist diagrams and Bode plots; state feedback, state estimation, and the design of dynamic control laws; and elementary analysis of nonlinearities and their impact on control design. There is extensive use of computer-aided control design tools. Applications to various aerospace systems, including navigation, guidance, and control of vehicles, are also discussed.

Subjects

estimation of aerospace systems | control of aerospace systems | control systems | frequency domain | state space | control law design | Nyquist diagram | Bode plot | state feedback | state estimation | dynamic control | nonlinearities | nonlinearity | control design | computer-aided control design | feedback control system

License

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2.23 Hydrofoils and Propellers (13.04) (MIT) 2.23 Hydrofoils and Propellers (13.04) (MIT)

Description

This course deals with theory and design of hydrofoil sections; lifting and thickness problems for sub-cavitating sections, unsteady flow problems. It focuses on computer-aided design of low drag, cavitation free sections. The course also covers lifting line and lifting surface theory with applications to hydrofoil craft, rudder, and control surface design. Topics include propeller lifting line and lifting surface theory; computer-aided design of wake adapted propellers, unsteady propeller thrust and torque. The course is also an introduction to subjects like flow about axially symmetric bodies and low-aspect ratio lifting surfaces, and hydrodynamic performance and design of waterjets. We will also do an analysis of performance and design of wind turbine rotors in steady and stochastic win This course deals with theory and design of hydrofoil sections; lifting and thickness problems for sub-cavitating sections, unsteady flow problems. It focuses on computer-aided design of low drag, cavitation free sections. The course also covers lifting line and lifting surface theory with applications to hydrofoil craft, rudder, and control surface design. Topics include propeller lifting line and lifting surface theory; computer-aided design of wake adapted propellers, unsteady propeller thrust and torque. The course is also an introduction to subjects like flow about axially symmetric bodies and low-aspect ratio lifting surfaces, and hydrodynamic performance and design of waterjets. We will also do an analysis of performance and design of wind turbine rotors in steady and stochastic win

Subjects

Theory and design of hydrofoil sections | Theory and design of hydrofoil sections | lifting and thickness problems | lifting and thickness problems | sub-cavitating sections | sub-cavitating sections | unsteady flow problems | unsteady flow problems | computer-aided design | computer-aided design | low drag | low drag | cavitation free sections | cavitation free sections | Lifting line and lifting surface theory | Lifting line and lifting surface theory | hydrofoil craft | hydrofoil craft | rudder | rudder | and control surface design | and control surface design | propeller lifting line | propeller lifting line | lifting surface theory | lifting surface theory | wake adapted propellers | wake adapted propellers | unsteady propeller thrust and torque | unsteady propeller thrust and torque | axially symmetric bodies | axially symmetric bodies | low-aspect ratio lifting surfaces | low-aspect ratio lifting surfaces | Hydrodynamic performance | Hydrodynamic performance | design of waterjets | design of waterjets | wind turbine rotors in steady and stochastic wind | wind turbine rotors in steady and stochastic wind | hydrofoil craft | rudder | and control surface design | hydrofoil craft | rudder | and control surface design | 9. low drag | cavitation free sections | 9. low drag | cavitation free sections | 5. hydrofoil craft | rudder | and control surface design | 5. hydrofoil craft | rudder | and control surface design | low drag | cavitation free sections | low drag | cavitation free sections

License

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5.512 Synthetic Organic Chemistry II (MIT) 5.512 Synthetic Organic Chemistry II (MIT)

Description

This course focuses on general methods and strategies for the synthesis of complex organic molecules. Emphasis is on strategies for stereoselective synthesis, including stereocontrolled synthesis of complex acyclic compounds. This course focuses on general methods and strategies for the synthesis of complex organic molecules. Emphasis is on strategies for stereoselective synthesis, including stereocontrolled synthesis of complex acyclic compounds.

Subjects

synthetic organic chemistry | synthetic organic chemistry | synthesis | synthesis | complex organic molecules | complex organic molecules | stereoselective synthesis | stereoselective synthesis | acyclic compounds | acyclic compounds | stereocontrolled synthesis | stereocontrolled synthesis | stereocontrolled alkylation | stereocontrolled alkylation | stereocontrolled conjugate addition | stereocontrolled conjugate addition | carbonyls | carbonyls | aldol reactions | aldol reactions | carbonyl reduction | carbonyl reduction | alkene reduction | alkene reduction | hydroboration | hydroboration | dihydroxylation | dihydroxylation | epoxidation | epoxidation

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6.241J Dynamic Systems and Control (MIT) 6.241J Dynamic Systems and Control (MIT)

Description

The course addresses dynamic systems, i.e., systems that evolve with time. Typically these systems have inputs and outputs; it is of interest to understand how the input affects the output (or, vice-versa, what inputs should be given to generate a desired output). In particular, we will concentrate on systems that can be modeled by Ordinary Differential Equations (ODEs), and that satisfy certain linearity and time-invariance conditions. We will analyze the response of these systems to inputs and initial conditions. It is of particular interest to analyze systems obtained as interconnections (e.g., feedback) of two or more other systems. We will learn how to design (control) systems that ensure desirable properties (e.g., stability, performance) of the interconnection with a given dynamic s The course addresses dynamic systems, i.e., systems that evolve with time. Typically these systems have inputs and outputs; it is of interest to understand how the input affects the output (or, vice-versa, what inputs should be given to generate a desired output). In particular, we will concentrate on systems that can be modeled by Ordinary Differential Equations (ODEs), and that satisfy certain linearity and time-invariance conditions. We will analyze the response of these systems to inputs and initial conditions. It is of particular interest to analyze systems obtained as interconnections (e.g., feedback) of two or more other systems. We will learn how to design (control) systems that ensure desirable properties (e.g., stability, performance) of the interconnection with a given dynamic s

Subjects

dynamic systems | dynamic systems | multiple inputs | multiple inputs | multiple outputs | multiple outputs | MIMO | MIMO | feedback | feedback | control systems | control systems | linear time-invariant | linear time-invariant | optimal control | optimal control | robust control | robust control | linear algebra | linear algebra | least squares | least squares

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6.780 Semiconductor Manufacturing (MIT)

Description

6.780 covers statistical modeling and the control of semiconductor fabrication processes and plants. Topics covered include: design of experiments, response surface modeling, and process optimization; defect and parametric yield modeling; process/device/circuit yield optimization; monitoring, diagnosis, and feedback control of equipment and processes; and analysis and scheduling of semiconductor manufacturing operations.

Subjects

Semiconductor manufacturing | statistics | distributions | estimation | hypothesis testing | statistical process control | control chart | control chart design | design of experiments | empirical equipment | process modeling | experimental design | yield models | spatial variation | spatial models | design for manufacturability | equipment monitoring | equipment diagnosis | equipment control | run by run | multistage process control | scheduling | planning | factory modeling | factory infrastructure | environmental | health and safety | computer integrated manufacturing | factory operation | factory design | advanced process control | yield learning

License

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2.12 Introduction to Robotics (MIT) 2.12 Introduction to Robotics (MIT)

Description

This course provides an overview of robot mechanisms, dynamics, and intelligent controls. Topics include planar and spatial kinematics, and motion planning; mechanism design for manipulators and mobile robots, multi-rigid-body dynamics, 3D graphic simulation; control design, actuators, and sensors; wireless networking, task modeling, human-machine interface, and embedded software. Weekly laboratories provide experience with servo drives, real-time control, and embedded software. Students will design and fabricate working robotic systems in a group-based term project.Technical RequirementsRealOne™ Player software is required to run the .rm files found on this course site. This course provides an overview of robot mechanisms, dynamics, and intelligent controls. Topics include planar and spatial kinematics, and motion planning; mechanism design for manipulators and mobile robots, multi-rigid-body dynamics, 3D graphic simulation; control design, actuators, and sensors; wireless networking, task modeling, human-machine interface, and embedded software. Weekly laboratories provide experience with servo drives, real-time control, and embedded software. Students will design and fabricate working robotic systems in a group-based term project.Technical RequirementsRealOne™ Player software is required to run the .rm files found on this course site.

Subjects

robot | robot | robot design | robot design | dynamics | dynamics | statics | statics | intelligent control | intelligent control | planar and spatial kinematics | planar and spatial kinematics | motion planning | motion planning | manipulator | manipulator | mobile robots | mobile robots | multi-rigid-body dynamics | multi-rigid-body dynamics | 3D graphic simulation | 3D graphic simulation | control design | control design | actuator | actuator | sensor | sensor | task modeling | task modeling | human-machine interface | human-machine interface | embedded software | embedded software | servo | servo | servomechanism | servomechanism | real-time control | real-time control | computer vision | computer vision | navigation | navigation | tele-robotics | tele-robotics | virtual reality | virtual reality

License

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6.334 Power Electronics (MIT) 6.334 Power Electronics (MIT)

Description

6.334 examines the application of electronics to energy conversion and control. Topics covered include: modeling, analysis, and control techniques; design of power circuits including inverters, rectifiers, and DC-DC converters; analysis and design of magnetic components and filters; and characteristics of power semiconductor devices. Numerous application examples will be presented such as motion control systems, power supplies, and radio-frequency power amplifiers. The course is worth 6 engineering design points. 6.334 examines the application of electronics to energy conversion and control. Topics covered include: modeling, analysis, and control techniques; design of power circuits including inverters, rectifiers, and DC-DC converters; analysis and design of magnetic components and filters; and characteristics of power semiconductor devices. Numerous application examples will be presented such as motion control systems, power supplies, and radio-frequency power amplifiers. The course is worth 6 engineering design points.

Subjects

power electronics | power electronics | energy conversion and control | energy conversion and control | modeling | modeling | analysis | analysis | control techniques | control techniques | power circuit design | power circuit design | inverters | inverters | rectifiers | rectifiers | dc-dc converters | dc-dc converters | magnetic components;filters | magnetic components;filters | power semiconductor devices | power semiconductor devices | motion control systems | motion control systems | power supplies | power supplies | radio-frequency power amplifiers | radio-frequency power amplifiers

License

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2.737 Mechatronics (MIT) 2.737 Mechatronics (MIT)

Description

This course is an introduction to designing mechatronic systems, which require integration of the mechanical and electrical engineering disciplines within a unified framework. There are significant laboratory-based design experiences. Topics covered in the course include: Low-level interfacing of software with hardware; use of high-level graphical programming tools to implement real-time computation tasks; digital logic; analog interfacing and power amplifiers; measurement and sensing; electromagnetic and optical transducers; control of mechatronic systems. This course is an introduction to designing mechatronic systems, which require integration of the mechanical and electrical engineering disciplines within a unified framework. There are significant laboratory-based design experiences. Topics covered in the course include: Low-level interfacing of software with hardware; use of high-level graphical programming tools to implement real-time computation tasks; digital logic; analog interfacing and power amplifiers; measurement and sensing; electromagnetic and optical transducers; control of mechatronic systems.

Subjects

mechatronics | mechatronics | mechatronic systems | mechatronic systems | control systems | control systems | electrical systems | electrical systems | mechanical systems | mechanical systems | robots | robots | robotics | robotics | LabVIEW | LabVIEW | control electronics | control electronics | electromechanics | electromechanics | mechanical CAD | mechanical CAD | digital control systems | digital control systems | laboratory | laboratory | design | design | software | software | hardware | hardware | computation | computation | digital logic | digital logic | analog interfacing | analog interfacing | power amplifier | power amplifier | measurement | measurement | sensing | sensing | transducer | transducer

License

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13.04 Hydrofoils and Propellers (MIT) 13.04 Hydrofoils and Propellers (MIT)

Description

This course deals with theory and design of hydrofoil sections; lifting and thickness problems for sub-cavitating sections, unsteady flow problems. It focuses on computer-aided design of low drag, cavitation free sections. The course also covers lifting line and lifting surface theory with applications to hydrofoil craft, rudder, and control surface design. Topics include propeller lifting line and lifting surface theory; computer-aided design of wake adapted propellers, unsteady propeller thrust and torque. The course is also an introduction to subjects like flow about axially symmetric bodies and low-aspect ratio lifting surfaces, and hydrodynamic performance and design of waterjets. We will also do an analysis of performance and design of wind turbine rotors in steady and stochastic win This course deals with theory and design of hydrofoil sections; lifting and thickness problems for sub-cavitating sections, unsteady flow problems. It focuses on computer-aided design of low drag, cavitation free sections. The course also covers lifting line and lifting surface theory with applications to hydrofoil craft, rudder, and control surface design. Topics include propeller lifting line and lifting surface theory; computer-aided design of wake adapted propellers, unsteady propeller thrust and torque. The course is also an introduction to subjects like flow about axially symmetric bodies and low-aspect ratio lifting surfaces, and hydrodynamic performance and design of waterjets. We will also do an analysis of performance and design of wind turbine rotors in steady and stochastic win

Subjects

Theory and design of hydrofoil sections | Theory and design of hydrofoil sections | lifting and thickness problems | lifting and thickness problems | sub-cavitating sections | sub-cavitating sections | unsteady flow problems | unsteady flow problems | computer-aided design | computer-aided design | low drag | low drag | cavitation free sections | cavitation free sections | Lifting line and lifting surface theory | Lifting line and lifting surface theory | hydrofoil craft | hydrofoil craft | rudder | rudder | and control surface design | and control surface design | propeller lifting line | propeller lifting line | lifting surface theory | lifting surface theory | wake adapted propellers | wake adapted propellers | unsteady propeller thrust and torque | unsteady propeller thrust and torque | axially symmetric bodies | axially symmetric bodies | low-aspect ratio lifting surfaces | low-aspect ratio lifting surfaces | Hydrodynamic performance | Hydrodynamic performance | design of waterjets | design of waterjets | wind turbine rotors in steady and stochastic wind | wind turbine rotors in steady and stochastic wind | hydrofoil craft | rudder | and control surface design | hydrofoil craft | rudder | and control surface design | 9. low drag | cavitation free sections | 9. low drag | cavitation free sections | 5. hydrofoil craft | rudder | and control surface design | 5. hydrofoil craft | rudder | and control surface design | low drag | cavitation free sections | low drag | cavitation free sections | 2.23 | 2.23

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10.450 Process Dynamics, Operations, and Control (MIT) 10.450 Process Dynamics, Operations, and Control (MIT)

Description

Introduction to dynamic processes and the engineering tasks of process operations and control. Subject covers modeling the static and dynamic behavior of processes; control strategies; design of feedback, feedforward, and other control structures; model-based control; applications to process equipment.Technical RequirementsAny number of software tools can be used to import the .csv files found on this course site. Please refer to the course materials for any specific instructions or recommendations.MATLAB® software is required to run the .m files found on this course site.MATLAB® is a trademark of The MathWorks, Inc. Introduction to dynamic processes and the engineering tasks of process operations and control. Subject covers modeling the static and dynamic behavior of processes; control strategies; design of feedback, feedforward, and other control structures; model-based control; applications to process equipment.Technical RequirementsAny number of software tools can be used to import the .csv files found on this course site. Please refer to the course materials for any specific instructions or recommendations.MATLAB® software is required to run the .m files found on this course site.MATLAB® is a trademark of The MathWorks, Inc.

Subjects

process operations | process operations | control strategies | control strategies | feedback | feedback | feedforward | feedforward | control structures | control structures | model-based control | model-based control | process equipment | process equipment

License

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2.737 Mechatronics (MIT) 2.737 Mechatronics (MIT)

Description

This course teaches the design of mechatronic systems which integrate mechanical, electrical, and control systems engineering. A computer hard disk drive is an example of a complex mechatronic system discussed in the class. Laboratories form the core of the course. They cover topics such as aliasing, quantization, electronic feedback, power amplifiers, digital logic, encoder interfacing, and motor control. The labs make extensive use of Simulink®, a MATLAB® toolbox which allows for graphical simulation and programming of real-time control systems. The new lab facilities feature dSPACE digital signal processors which are programmed through Simulink®. Each student builds circuits on a breadboard kit which is issued to them. This course teaches the design of mechatronic systems which integrate mechanical, electrical, and control systems engineering. A computer hard disk drive is an example of a complex mechatronic system discussed in the class. Laboratories form the core of the course. They cover topics such as aliasing, quantization, electronic feedback, power amplifiers, digital logic, encoder interfacing, and motor control. The labs make extensive use of Simulink®, a MATLAB® toolbox which allows for graphical simulation and programming of real-time control systems. The new lab facilities feature dSPACE digital signal processors which are programmed through Simulink®. Each student builds circuits on a breadboard kit which is issued to them.

Subjects

design of mechatronic systems | design of mechatronic systems | mechanical | electrical | and control systems engineering | mechanical | electrical | and control systems engineering | aliasing | aliasing | quantization | quantization | electronic feedback | electronic feedback | power amplifiers | power amplifiers | digital logic | digital logic | encoder interfacing | encoder interfacing | motor control | motor control | Simulink | Simulink | Matlab | Matlab | graphical simulation | graphical simulation | programming | programming | real-time control systems | real-time control systems | dSPACE digital signal processors | dSPACE digital signal processors | circuits | circuits | breadboard kit | breadboard kit

License

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6.231 Dynamic Programming and Stochastic Control (MIT) 6.231 Dynamic Programming and Stochastic Control (MIT)

Description

This course covers the basic models and solution techniques for problems of sequential decision making under uncertainty (stochastic control). We will consider optimal control of a dynamical system over both a finite and an infinite number of stages (finite and infinite horizon). We will also discuss some approximation methods for problems involving large state spaces. Applications of dynamic programming in a variety of fields will be covered in recitations. This course covers the basic models and solution techniques for problems of sequential decision making under uncertainty (stochastic control). We will consider optimal control of a dynamical system over both a finite and an infinite number of stages (finite and infinite horizon). We will also discuss some approximation methods for problems involving large state spaces. Applications of dynamic programming in a variety of fields will be covered in recitations.

Subjects

dynamic programming | dynamic programming | stochastic control | stochastic control | decision making | decision making | uncertainty | uncertainty | sequential decision making | sequential decision making | finite horizon | finite horizon | infinite horizon | infinite horizon | approximation methods | approximation methods | state space | state space | large state space | large state space | optimal control | optimal control | dynamical system | dynamical system | dynamic programming and optimal control | dynamic programming and optimal control | deterministic systems | deterministic systems | shortest path | shortest path | state information | state information | rollout | rollout | stochastic shortest path | stochastic shortest path | approximate dynamic programming | approximate dynamic programming

License

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6.857 Network and Computer Security (MIT) 6.857 Network and Computer Security (MIT)

Description

6.857 is an upper-level undergraduate, first-year graduate course on network and computer security. It fits within the department's Computer Systems and Architecture Engineering concentration. Topics covered include (but are not limited to) the following: Techniques for achieving security in multi-user computer systems and distributed computer systems; Cryptography: secret-key, public-key, digital signatures; Authentication and identification schemes; Intrusion detection: viruses; Formal models of computer security; Secure operating systems; Software protection; Security of electronic mail and the World Wide Web; Electronic commerce: payment protocols, electronic cash; Firewalls; and Risk assessment. 6.857 is an upper-level undergraduate, first-year graduate course on network and computer security. It fits within the department's Computer Systems and Architecture Engineering concentration. Topics covered include (but are not limited to) the following: Techniques for achieving security in multi-user computer systems and distributed computer systems; Cryptography: secret-key, public-key, digital signatures; Authentication and identification schemes; Intrusion detection: viruses; Formal models of computer security; Secure operating systems; Software protection; Security of electronic mail and the World Wide Web; Electronic commerce: payment protocols, electronic cash; Firewalls; and Risk assessment.

Subjects

network | network | computer security | computer security | security | security | cryptography | cryptography | secret-key | secret-key | public-key | public-key | digital signature | digital signature | authentication | authentication | identification | identification | intrusion detection | intrusion detection | virus | virus | operating system | operating system | software | software | protection | protection | electronic mail | electronic mail | email | email | electronic commerce | electronic commerce | electronic cash | electronic cash | firewall | firewall | computer | computer | digital | digital | signature | signature | electronic | electronic | cash | cash | commerce | commerce | mail | mail | operating | operating | system | system | intrustion | intrustion | detection | detection | distributed | distributed | physical | physical | discretionary | discretionary | mandatory | mandatory | access | access | control | control | biometrics | biometrics | information | information | flow | flow | models | models | covert | covert | channels | channels | integrity | integrity | logic | logic | voting | voting | risk | risk | assessment | assessment | secure | secure | web | web | browsers | browsers | architecture | architecture | engineering | engineering | certificates | certificates | multi-user computer systems | multi-user computer systems | distributed computer systems | distributed computer systems | physical security | physical security | discretionary access control | discretionary access control | mandatory access control | mandatory access control | information-flow models | information-flow models | covert channels | covert channels | integrity models | integrity models | elementary cryptography | elementary cryptography | authentication logic;electronic cash | authentication logic;electronic cash | viruses | viruses | firewalls | firewalls | electronic voting | electronic voting | risk assessment | risk assessment | secure web browsers | secure web browsers | network security | network security | architecture engineering | architecture engineering | digital signatures | digital signatures | authentication schemes | authentication schemes | identification schemes | identification schemes | formal models | formal models | secure operating systems | secure operating systems | software protection | software protection | electronic mail security | electronic mail security | World Wide Web | World Wide Web | ecommerce | ecommerce | email security | email security | www | www | payment protocols | payment protocols | authentication logic | authentication logic

License

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