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  • Book
  • © 2009

Delay Compensation for Nonlinear, Adaptive, and PDE Systems

Birkhäuser

Authors:

  • Significantly broadens the set of techniques available to a mathematician or engineer working on delay systems
  • Numerous examples ease a student new to delay systems into the topic
  • For a broad audience of graduate students, researchers, and professionals in mathematics, systems control, as well as chemical, mechanical, electrical, computer, aerospace, and civil/structural engineering
  • Parts of the book may be used in graduate courses on general distributed parameter systems, linear delay systems, PDEs, nonlinear control, state estimator and observers, adaptive control, robust control, or linear time-varying systems
  • Includes supplementary material: sn.pub/extras

Part of the book series: Systems & Control: Foundations & Applications (SCFA)

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Table of contents (20 chapters)

  1. Front Matter

    Pages 1-14
  2. Introduction

    • Miroslav Krstic
    Pages 1-13
  3. Linear Delay-ODE Cascades

    1. Front Matter

      Pages 16-16
    2. Basic Predictor Feedback

      • Miroslav Krstic
      Pages 17-40
    3. Predictor Observers

      • Miroslav Krstic
      Pages 41-52
    4. Inverse Optimal Redesign

      • Miroslav Krstic
      Pages 53-63
    5. Robustness to Delay Mismatch

      • Miroslav Krstic
      Pages 65-83
    6. Time-Varying Delay

      • Miroslav Krstic
      Pages 85-103
  4. Adaptive Control

    1. Front Matter

      Pages 106-106
    2. Delay-Adaptive Full-State Predictor Feedback

      • Miroslav Krstic
      Pages 107-119
  5. Nonlinear Systems

    1. Front Matter

      Pages 152-152
    2. Nonlinear Predictor Feedback

      • Miroslav Krstic
      Pages 153-169
    3. Forward-Complete Systems

      • Miroslav Krstic
      Pages 171-190
    4. Strict-Feedforward Systems

      • Miroslav Krstic
      Pages 191-216
    5. Linearizable Strict-Feedforward Systems

      • Miroslav Krstic
      Pages 217-231
  6. PDE-ODE Cascades

    1. Front Matter

      Pages 234-234
    2. ODEs with Heat PDE Actuator Dynamics

      • Miroslav Krstic
      Pages 253-267

About this book

Some of the most common dynamic phenomena that arise in engineering practice—actuator and sensor delays—fall outside the scope of standard finite-dimensional system theory. The first attempt at infinite-dimensional feedback design in the field of control systems—the Smith predictor—has remained limited to linear finite-dimensional plants over the last five decades. Shedding light on new opportunities in predictor feedback, this book significantly broadens the set of techniques available to a mathematician or engineer working on delay systems. 

The book is a collection of tools and techniques that make predictor feedback ideas applicable to nonlinear systems, systems modeled by PDEs, systems with highly uncertain or completely unknown input/output delays, and systems whose actuator or sensor dynamics are modeled by more general hyperbolic or parabolic PDEs, rather than by pure delay. Numerous examples and a detailed  treatment of individual classes of problems will help the reader master the techniques.

Delay Compensation for Nonlinear, Adaptive, and PDE Systems is an excellent reference guide for graduate students, researchers, and professionals in mathematics, systems control, as well as chemical, mechanical, electrical, computer, aerospace, and civil/structural engineering. Parts of the book may be used in graduate courses on general distributed parameter systems, linear delay systems, PDEs, nonlinear control, state estimator and observers, adaptive control, robust control, or linear time-varying systems.

Reviews

From the reviews:

“A research monograph that introduces the treatment of systems with input delays as PDE-ODE cascade systems with boundary control. … The book should be of interest to researchers working on control of delay systems - engineers, graduate students, and delay systems specialists in academia. Mathematicians … will find the book interesting … . Chemical engineers and process dynamic researchers, who have traditionally been users of the Smith predictor and related approaches, should find the various extensions of this methodology that the book presents to be useful.” (Bojidar Cheshankov, Zentralblatt MATH, Vol. 1181, 2010)

Authors and Affiliations

  • Dept. Mechanical & Aerospace Engin., University of California, San Diego, La Jolla, U.S.A.

    Miroslav Krstic

Bibliographic Information

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access