Description

Book Synopsis

A NEW EDITION OF THE CLASSIC TEXT ON OPTIMAL CONTROL THEORY

As a superb introductory text and an indispensable reference, this new edition of Optimal Control will serve the needs of both the professional engineer and the advanced student in mechanical, electrical, and aerospace engineering. Its coverage encompasses all the fundamental topics as well as the major changes that have occurred in recent years. An abundance of computer simulations using MATLAB and relevant Toolboxes is included to give the reader the actual experience of applying the theory to real-world situations. Major topics covered include:

  • Static Optimization
  • Optimal Control of Discrete-Time Systems
  • Optimal Control of Continuous-Time Systems
  • The Tracking Problem and Other LQR Extensions
  • Final-Time-Free and Constrained Input Control
  • Dynamic Programming
  • Optimal Control for Polynomial Systems
  • Output Feedback and Structured Contro

    Table of Contents
    PREFACE xi

    1 STATIC OPTIMIZATION 1

    1.1 Optimization without Constraints / 1

    1.2 Optimization with Equality Constraints / 4

    1.3 Numerical Solution Methods / 15

    Problems / 15

    2 OPTIMAL CONTROL OF DISCRETE-TIME SYSTEMS 19

    2.1 Solution of the General Discrete-Time Optimization Problem / 19

    2.2 Discrete-Time Linear Quadratic Regulator / 32

    2.3 Digital Control of Continuous-Time Systems / 53

    2.4 Steady-State Closed-Loop Control and Suboptimal Feedback / 65

    2.5 Frequency-Domain Results / 96

    Problems / 102

    3 OPTIMAL CONTROL OF CONTINUOUS-TIME SYSTEMS 110

    3.1 The Calculus of Variations / 110

    3.2 Solution of the General Continuous-Time Optimization Problem / 112

    3.3 Continuous-Time Linear Quadratic Regulator / 135

    3.4 Steady-State Closed-Loop Control and Suboptimal Feedback / 154

    3.5 Frequency-Domain Results / 164

    Problems / 167

    4 THE TRACKING PROBLEM AND OTHER LQR EXTENSIONS 177

    4.1 The Tracking Problem / 177

    4.2 Regulator with Function of Final State Fixed / 183

    4.3 Second-Order Variations in the Performance Index / 185

    4.4 The Discrete-Time Tracking Problem / 190

    4.5 Discrete Regulator with Function of Final State Fixed / 199

    4.6 Discrete Second-Order Variations in the Performance Index / 206

    Problems / 211

    5 FINAL-TIME-FREE AND CONSTRAINED INPUT CONTROL 213

    5.1 Final-Time-Free Problems / 213

    5.2 Constrained Input Problems / 232

    Problems / 257

    6 DYNAMIC PROGRAMMING 260

    6.1 Bellman’s Principle of Optimality / 260

    6.2 Discrete-Time Systems / 263

    6.3 Continuous-Time Systems / 271

    Problems / 283

    7 OPTIMAL CONTROL FOR POLYNOMIAL SYSTEMS 287

    7.1 Discrete Linear Quadratic Regulator / 287

    7.2 Digital Control of Continuous-Time Systems / 292

    Problems / 295

    8 OUTPUT FEEDBACK AND STRUCTURED CONTROL 297

    8.1 Linear Quadratic Regulator with Output Feedback / 297

    8.2 Tracking a Reference Input / 313

    8.3 Tracking by Regulator Redesign / 327

    8.4 Command-Generator Tracker / 331

    8.5 Explicit Model-Following Design / 338

    8.6 Output Feedback in Game Theory and Decentralized Control / 343

    Problems / 351

    9 ROBUSTNESS AND MULTIVARIABLE FREQUENCY-DOMAIN TECHNIQUES 355

    9.1 Introduction / 355

    9.2 Multivariable Frequency-Domain Analysis / 357

    9.3 Robust Output-Feedback Design / 380

    9.4 Observers and the Kalman Filter / 383

    9.5 LQG/Loop-Transfer Recovery / 408

    9.6 H∞ DESIGN / 430

    Problems / 435

    10 DIFFERENTIAL GAMES 438

    10.1 Optimal Control Derived Using Pontryagin’s Minimum Principle and the Bellman Equation / 439

    10.2 Two-player Zero-sum Games / 444

    10.3 Application of Zero-sum Games to H∞ Control / 450

    10.4 Multiplayer Non-zero-sum Games / 453

    11 REINFORCEMENT LEARNING AND OPTIMAL ADAPTIVE CONTROL 461

    11.1 Reinforcement Learning / 462

    11.2 Markov Decision Processes / 464

    11.3 Policy Evaluation and Policy Improvement / 474

    11.4 Temporal Difference Learning and Optimal Adaptive Control / 489

    11.5 Optimal Adaptive Control for Discrete-time Systems / 490

    11.6 Integral Reinforcement Learning for Optimal Adaptive Control of Continuous-time Systems / 503

    11.7 Synchronous Optimal Adaptive Control for Continuous-time Systems / 513

    APPENDIX A REVIEW OF MATRIX ALGEBRA 518

    A.1 Basic Definitions and Facts / 518

    A.2 Partitioned Matrices / 519

    A.3 Quadratic Forms and Definiteness / 521

    A.4 Matrix Calculus / 523

    A.5 The Generalized Eigenvalue Problem / 525

    REFERENCES 527

    INDEX 535

Optimal Control

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A Hardback by Frank L. Lewis, Draguna Vrabie, Vassilis L. Syrmos

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    View other formats and editions of Optimal Control by Frank L. Lewis

    Publisher: John Wiley & Sons Inc
    Publication Date: 20/02/2012
    ISBN13: 9780470633496, 978-0470633496
    ISBN10: 0470633492

    Description

    Book Synopsis

    A NEW EDITION OF THE CLASSIC TEXT ON OPTIMAL CONTROL THEORY

    As a superb introductory text and an indispensable reference, this new edition of Optimal Control will serve the needs of both the professional engineer and the advanced student in mechanical, electrical, and aerospace engineering. Its coverage encompasses all the fundamental topics as well as the major changes that have occurred in recent years. An abundance of computer simulations using MATLAB and relevant Toolboxes is included to give the reader the actual experience of applying the theory to real-world situations. Major topics covered include:

    • Static Optimization
    • Optimal Control of Discrete-Time Systems
    • Optimal Control of Continuous-Time Systems
    • The Tracking Problem and Other LQR Extensions
    • Final-Time-Free and Constrained Input Control
    • Dynamic Programming
    • Optimal Control for Polynomial Systems
    • Output Feedback and Structured Contro

      Table of Contents
      PREFACE xi

      1 STATIC OPTIMIZATION 1

      1.1 Optimization without Constraints / 1

      1.2 Optimization with Equality Constraints / 4

      1.3 Numerical Solution Methods / 15

      Problems / 15

      2 OPTIMAL CONTROL OF DISCRETE-TIME SYSTEMS 19

      2.1 Solution of the General Discrete-Time Optimization Problem / 19

      2.2 Discrete-Time Linear Quadratic Regulator / 32

      2.3 Digital Control of Continuous-Time Systems / 53

      2.4 Steady-State Closed-Loop Control and Suboptimal Feedback / 65

      2.5 Frequency-Domain Results / 96

      Problems / 102

      3 OPTIMAL CONTROL OF CONTINUOUS-TIME SYSTEMS 110

      3.1 The Calculus of Variations / 110

      3.2 Solution of the General Continuous-Time Optimization Problem / 112

      3.3 Continuous-Time Linear Quadratic Regulator / 135

      3.4 Steady-State Closed-Loop Control and Suboptimal Feedback / 154

      3.5 Frequency-Domain Results / 164

      Problems / 167

      4 THE TRACKING PROBLEM AND OTHER LQR EXTENSIONS 177

      4.1 The Tracking Problem / 177

      4.2 Regulator with Function of Final State Fixed / 183

      4.3 Second-Order Variations in the Performance Index / 185

      4.4 The Discrete-Time Tracking Problem / 190

      4.5 Discrete Regulator with Function of Final State Fixed / 199

      4.6 Discrete Second-Order Variations in the Performance Index / 206

      Problems / 211

      5 FINAL-TIME-FREE AND CONSTRAINED INPUT CONTROL 213

      5.1 Final-Time-Free Problems / 213

      5.2 Constrained Input Problems / 232

      Problems / 257

      6 DYNAMIC PROGRAMMING 260

      6.1 Bellman’s Principle of Optimality / 260

      6.2 Discrete-Time Systems / 263

      6.3 Continuous-Time Systems / 271

      Problems / 283

      7 OPTIMAL CONTROL FOR POLYNOMIAL SYSTEMS 287

      7.1 Discrete Linear Quadratic Regulator / 287

      7.2 Digital Control of Continuous-Time Systems / 292

      Problems / 295

      8 OUTPUT FEEDBACK AND STRUCTURED CONTROL 297

      8.1 Linear Quadratic Regulator with Output Feedback / 297

      8.2 Tracking a Reference Input / 313

      8.3 Tracking by Regulator Redesign / 327

      8.4 Command-Generator Tracker / 331

      8.5 Explicit Model-Following Design / 338

      8.6 Output Feedback in Game Theory and Decentralized Control / 343

      Problems / 351

      9 ROBUSTNESS AND MULTIVARIABLE FREQUENCY-DOMAIN TECHNIQUES 355

      9.1 Introduction / 355

      9.2 Multivariable Frequency-Domain Analysis / 357

      9.3 Robust Output-Feedback Design / 380

      9.4 Observers and the Kalman Filter / 383

      9.5 LQG/Loop-Transfer Recovery / 408

      9.6 H∞ DESIGN / 430

      Problems / 435

      10 DIFFERENTIAL GAMES 438

      10.1 Optimal Control Derived Using Pontryagin’s Minimum Principle and the Bellman Equation / 439

      10.2 Two-player Zero-sum Games / 444

      10.3 Application of Zero-sum Games to H∞ Control / 450

      10.4 Multiplayer Non-zero-sum Games / 453

      11 REINFORCEMENT LEARNING AND OPTIMAL ADAPTIVE CONTROL 461

      11.1 Reinforcement Learning / 462

      11.2 Markov Decision Processes / 464

      11.3 Policy Evaluation and Policy Improvement / 474

      11.4 Temporal Difference Learning and Optimal Adaptive Control / 489

      11.5 Optimal Adaptive Control for Discrete-time Systems / 490

      11.6 Integral Reinforcement Learning for Optimal Adaptive Control of Continuous-time Systems / 503

      11.7 Synchronous Optimal Adaptive Control for Continuous-time Systems / 513

      APPENDIX A REVIEW OF MATRIX ALGEBRA 518

      A.1 Basic Definitions and Facts / 518

      A.2 Partitioned Matrices / 519

      A.3 Quadratic Forms and Definiteness / 521

      A.4 Matrix Calculus / 523

      A.5 The Generalized Eigenvalue Problem / 525

      REFERENCES 527

      INDEX 535

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