Table of contents

  1. Front Matter
    Pages i-xi
  2. Steven A. Frank
    Pages 1-5 Open Access
  3. Basic Principles

    1. Front Matter
      Pages 7-7
    2. Steven A. Frank
      Pages 9-18 Open Access
    3. Steven A. Frank
      Pages 19-27 Open Access
    4. Steven A. Frank
      Pages 29-36 Open Access
    5. Steven A. Frank
      Pages 37-41 Open Access
  4. Design Tradeoffs

    1. Front Matter
      Pages 43-44
    2. Steven A. Frank
      Pages 45-53 Open Access
    3. Steven A. Frank
      Pages 55-62 Open Access
    4. Steven A. Frank
      Pages 63-67 Open Access
    5. Steven A. Frank
      Pages 69-75 Open Access
  5. Common Challenges

    1. Front Matter
      Pages 77-77
    2. Steven A. Frank
      Pages 79-84 Open Access
    3. Steven A. Frank
      Pages 85-89 Open Access
    4. Steven A. Frank
      Pages 91-94 Open Access
    5. Steven A. Frank
      Pages 95-102 Open Access
    6. Steven A. Frank
      Pages 103-105 Open Access
  6. Back Matter
    Pages 107-111

About this book


This open access brief introduces the basic principles of control theory in a concise self-study guide. It complements the classic texts by emphasizing the simple conceptual unity of the subject. A novice can quickly see how and why the different parts fit together. The concepts build slowly and naturally one after another, until the reader soon has a view of the whole. Each concept is illustrated by detailed examples and graphics. The full software code for each example is available, providing the basis for experimenting with various assumptions, learning how to write programs for control analysis, and setting the stage for future research projects. The topics focus on robustness, design trade-offs, and optimality. Most of the book develops classical linear theory. The last part of the book considers robustness with respect to nonlinearity and explicitly nonlinear extensions, as well as advanced topics such as adaptive control and model predictive control. New students, as well as scientists from other backgrounds who want a concise and easy-to-grasp coverage of control theory, will benefit from the emphasis on concepts and broad understanding of the various approaches.


Control Theory Engineering Design Tradeoffs Robust Control Feedback Control Systems Wolfram Mathematica Software Optimal Control Open Access

Authors and affiliations

  • Steven A.¬†Frank
    • 1
  1. 1.Department of Ecology and Evolutionary BiologyUniversity of California, IrvineIrvineUSA

Bibliographic information

  • DOI
  • Copyright Information The Editor(s) (if applicable) and The Author(s) 2018
  • License CC BY
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-91706-1
  • Online ISBN 978-3-319-91707-8
  • Series Print ISSN 2191-530X
  • Series Online ISSN 2191-5318
  • Buy this book on publisher's site
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