Robust and Adaptive Control

With Aerospace Applications

  • Eugene Lavretsky
  • Kevin A. Wise
Part of the Advanced Textbooks in Control and Signal Processing book series (C&SP)

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Robust Control

    1. Front Matter
      Pages 1-1
    2. Eugene Lavretsky, Kevin A. Wise
      Pages 3-25
    3. Eugene Lavretsky, Kevin A. Wise
      Pages 27-50
    4. Eugene Lavretsky, Kevin A. Wise
      Pages 51-72
    5. Eugene Lavretsky, Kevin A. Wise
      Pages 73-96
    6. Eugene Lavretsky, Kevin A. Wise
      Pages 97-160
    7. Eugene Lavretsky, Kevin A. Wise
      Pages 161-208
  3. Robust Adaptive Control

    1. Front Matter
      Pages 209-209
    2. Eugene Lavretsky, Kevin A. Wise
      Pages 211-223
    3. Eugene Lavretsky, Kevin A. Wise
      Pages 225-261
    4. Eugene Lavretsky, Kevin A. Wise
      Pages 263-292
    5. Eugene Lavretsky, Kevin A. Wise
      Pages 293-315
    6. Eugene Lavretsky, Kevin A. Wise
      Pages 317-353
    7. Eugene Lavretsky, Kevin A. Wise
      Pages 355-385
    8. Eugene Lavretsky, Kevin A. Wise
      Pages 387-416
    9. Eugene Lavretsky, Kevin A. Wise
      Pages 417-449
  4. Eugene Lavretsky, Kevin A. Wise
    Pages E1-E43
  5. Back Matter
    Pages 451-454

About this book

Introduction

Robust and Adaptive Control shows the reader how to produce consistent and accurate controllers that operate in the presence of uncertainties and unforeseen events. Driven by aerospace applications the focus of the book is primarily on continuous-dynamical systems. 

The text is a three-part treatment, beginning with robust and optimal linear control methods and moving on to a self-contained presentation of the design and analysis of model reference adaptive control (MRAC) for nonlinear uncertain dynamical systems. Recent extensions and modifications to MRAC design are included, as are guidelines for combining robust optimal and MRAC controllers. Features of the text include:

·         case studies that demonstrate the benefits of robust and adaptive control for piloted, autonomous and experimental aerial platforms;

·         detailed background material for each chapter to motivate theoretical developments;

·         realistic examples and simulation data illustrating key features of the methods described; and

·         problem solutions for instructors and MATLAB® code provided electronically.

 

The theoretical content and practical applications reported address real-life aerospace problems, being based on numerous transitions of control-theoretic results into operational systems and airborne vehicles that are drawn from the authors’ extensive professional experience with The Boeing Company. The systems covered are challenging, often open-loop unstable, with uncertainties in their dynamics, and thus requiring both persistently reliable control and the ability to track commands either from a pilot or a guidance computer.

Readers are assumed to have a basic understanding of root locus, Bode diagrams, and Nyquist plots, as well as linear algebra, ordinary differential equations, and the use of state-space methods in analysis and modeling of dynamical systems.

Robust and Adaptive Control is intended to methodically teach senior undergraduate and graduate students how to construct stable and predictable control algorithms for realistic industrial applications. Practicing engineers and academic researchers will also find the book of great instructional value.

Keywords

Adaptive Systems Aerospace Applications Control Applications Control Engineering Model Reference Adaptive Control Optimal Regulation and Tracking Parameter Estimation Robust Control

Authors and affiliations

  • Eugene Lavretsky
    • 1
  • Kevin A. Wise
    • 2
  1. 1.The Boeing CompanyHuntington BeachUSA
  2. 2.The Boeing CompanyBoeing Phantom Works The Boeing CompanySt. LouisUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4471-4396-3
  • Copyright Information Springer-Verlag London 2013
  • Publisher Name Springer, London
  • eBook Packages Engineering
  • Print ISBN 978-1-4471-4395-6
  • Online ISBN 978-1-4471-4396-3
  • Series Print ISSN 1439-2232
  • About this book