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Nonlinear Control of Engineering Systems

A Lyapunov-Based Approach

  • Book
  • © 2003

Overview

Authors:
  1. Warren E. Dixon

    1. Engineering Science and Technology Division, Oak Ridge National Laboratory, Oak Ridge, USA

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  2. Aman Behal

    1. Department of Electrical and Computer Engineering, Clemson University, Clemson, USA

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  3. Darren M. Dawson

    1. Department of Electrical and Computer Engineering, Clemson University, Clemson, USA

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  4. Siddharth P. Nagarkatti

    1. Advanced Technology Group, MKS Instruments, Methuen, USA

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  • Control designs for a broad class of engineering systems
  • Presentation of adaptive and learning control methods for uncertain nonlinear systems
  • Experimental testbed descriptions and results that guide the reader toward techniques for further research
  • Development of necessary mathematical background in each chapter; additional mathematical prerequisites contained in two appendices

Part of the book series: Control Engineering (CONTRENGIN)

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Table of contents (6 chapters)

  1. Front Matter

    Pages i-xviii
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  2. Introduction

    • Warren E. Dixon, Aman Behal, Darren M. Dawson, Siddharth P. Nagarkatti
    Pages 1-19

  3. Mechanical Systems

    • Warren E. Dixon, Aman Behal, Darren M. Dawson, Siddharth P. Nagarkatti
    Pages 21-89

  4. Electric Machines

    • Warren E. Dixon, Aman Behal, Darren M. Dawson, Siddharth P. Nagarkatti
    Pages 91-148

  5. Robotic Systems

    • Warren E. Dixon, Aman Behal, Darren M. Dawson, Siddharth P. Nagarkatti
    Pages 149-222

  6. Aerospace Systems

    • Warren E. Dixon, Aman Behal, Darren M. Dawson, Siddharth P. Nagarkatti
    Pages 223-268

  7. Underactuated Systems

    • Warren E. Dixon, Aman Behal, Darren M. Dawson, Siddharth P. Nagarkatti
    Pages 269-335

  8. Back Matter

    Pages 337-396
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Keywords

About this book

Recent advancements in Lyapunov-based design and analysis techniques have applications to a broad class of engineering systems, including mechanical, electrical, robotic, aerospace, and underactuated systems. This book provides a practical yet rigorous development of nonlinear, Lyapunov-based tools and their use in the solution of control-theoretic problems. Rich in motivating examples and new design techniques, the text balances theoretical foundations and real-world implementation. Features include: * Control designs for a broad class of engineering systems * Presentation of adaptive and learning control methods for uncertain nonlinear systems * Experimental testbed descriptions and results that guide the reader toward techniques for further research * Development of necessary mathematical background in each chapter; additional mathematical prerequisites contained in two appendices Intended for readers who have some knowledge of undergraduate systems theory, the book includes a wide range of applications making it suitable for an extensive audience. Graduate students and researchers in control systems, robotics, and applied mathematics, as well as professional engineers will appreciate the work's combination of theoretical underpinnings and current and emerging engineering applications.

Reviews

"The text is a reference book which provides both mathematically rigorous theoretical development and the application of various nonlinear, Lyapunov-based techniques to a broad class of practical engineering systems, including mechanical, electrical, robotic, aerospace, and underactuated systems.... Each chapter contains an exposition of the necessary mathematical background and is provided with detailed references for further reading. For each of the systems examined, simulation results are presented. The material in the text is intended for readers with a background in undergraduate systems theory and is beneficial for students and practicing research and development engineers in the area of control. Beautifully written, the book includes a wide range of applications making it suitable for an extensive audience."

—ZENTRALBLATT MATH

Authors and Affiliations

  • Engineering Science and Technology Division, Oak Ridge National Laboratory, Oak Ridge, USA

    Warren E. Dixon

  • Department of Electrical and Computer Engineering, Clemson University, Clemson, USA

    Aman Behal, Darren M. Dawson

  • Advanced Technology Group, MKS Instruments, Methuen, USA

    Siddharth P. Nagarkatti

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