Optimal Control Theory for Applications

  • David G. Hull

Part of the Mechanical Engineering Series book series (MES)

Table of contents

  1. Front Matter
    Pages i-xix
  2. Introduction to Optimization

    1. David G. Hull
      Pages 1-15
  3. Parameter Optimization

    1. Front Matter
      Pages 16-17
    2. David G. Hull
      Pages 18-41
    3. David G. Hull
      Pages 76-84
  4. Optimal Control Theory

    1. Front Matter
      Pages 85-87
    2. David G. Hull
      Pages 88-102
    3. David G. Hull
      Pages 103-113
    4. David G. Hull
      Pages 114-139
    5. David G. Hull
      Pages 140-165
    6. David G. Hull
      Pages 166-172
    7. David G. Hull
      Pages 173-198
    8. David G. Hull
      Pages 199-220
    9. David G. Hull
      Pages 221-246
    10. David G. Hull
      Pages 247-257
    11. David G. Hull
      Pages 258-274
    12. David G. Hull
      Pages 275-292
    13. David G. Hull
      Pages 293-316
  5. Approximate Solutions

    1. Front Matter
      Pages 317-317
    2. David G. Hull
      Pages 318-326
  6. Back Matter
    Pages 366-384

About this book


Mechanical engineering, an engineering discipline born of the needs of the in­ dustrial revolution, is once again asked to do its substantial share in the call for industrial renewal. The general call is urgent as we face profound issues of productivity and competitiveness that require engineering solutions, among others. The Mechanical Engineering Series is a series featuring graduate texts and research monographs intended to address the need for information in con­ temporary areas of mechanical engineering. The series is conceived as a comprehensive one that covers a broad range of concentrations important to mechanical engineering graduate education and research. We are fortunate to have a distinguished roster of consulting editors, each an expert in one of the areas of concentration. The names of the consulting editors are listed on page ii of this volume. The areas of concentration are applied mathematics, biomechanics, computational mechanics, dynamic systems and control, energetics, mechanics of materials, processing, thermal science, and tribology. Austin, Texas Frederick F. Ling Preface Optimization is an area of mathematics that is concerned with finding the "best" points, curves, surfaces, and so on. "Best" is determined by minimizing some measure of performance subject to equality and inequality constraints. Points are constrained by algebraic equations; curves are constrained by or­ dinary differential equations and algebraic equations; surfaces are constrained by partial differential equations, ordinary differential equations, and algebraic equations.


aerospace engineering calculus differential equation dynamische Systeme geometry linear optimization optimization space engineering

Authors and affiliations

  • David G. Hull
    • 1
  1. 1.Aerospace Engineering and Engineering MechanicsThe University of Texas at AustinAustinUSA

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag New York 2003
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4419-2299-1
  • Online ISBN 978-1-4757-4180-3
  • Series Print ISSN 0941-5122
  • Series Online ISSN 2192-063X
  • Buy this book on publisher's site
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