Optimization of Dynamic Systems

  • Sunil Kumar Agrawal
  • Brian C. Fabien

Part of the Solid Mechanics and Its Applications book series (SMIA, volume 70)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Sunil Kumar Agrawal, Brian C. Fabien
    Pages 1-18
  3. Sunil Kumar Agrawal, Brian C. Fabien
    Pages 19-39
  4. Sunil Kumar Agrawal, Brian C. Fabien
    Pages 41-59
  5. Sunil Kumar Agrawal, Brian C. Fabien
    Pages 61-91
  6. Sunil Kumar Agrawal, Brian C. Fabien
    Pages 93-111
  7. Sunil Kumar Agrawal, Brian C. Fabien
    Pages 113-147
  8. Sunil Kumar Agrawal, Brian C. Fabien
    Pages 149-166
  9. Sunil Kumar Agrawal, Brian C. Fabien
    Pages 167-175
  10. Sunil Kumar Agrawal, Brian C. Fabien
    Pages 177-197
  11. Back Matter
    Pages 199-228

About this book

Introduction

This textbook deals with optimization of dynamic systems. The motivation for undertaking this task is as follows: There is an ever increasing need to produce more efficient, accurate, and lightweight mechanical and electromechanical de­ vices. Thus, the typical graduating B.S. and M.S. candidate is required to have some familiarity with techniques for improving the performance of dynamic systems. Unfortunately, existing texts dealing with system improvement via optimization remain inaccessible to many of these students and practicing en­ gineers. It is our goal to alleviate this difficulty by presenting to seniors and beginning graduate students practical efficient techniques for solving engineer­ ing system optimization problems. The text has been used in optimal control and dynamic system optimization courses at the University of Deleware, the University of Washington and Ohio University over the past four years. The text covers the following material in a straightforward detailed manner: • Static Optimization: The problem of optimizing a function that depends on static variables (i.e., parameters) is considered. Problems with equality and inequality constraints are addressed. • Numerical Methods: Static Optimization: Numerical algorithms for the solution of static optimization problems are presented here. The methods presented can accommodate both the unconstrained and constrained static optimization problems. • Calculus of Variation: The necessary and sufficient conditions for the ex­ tremum of functionals are presented. Both the fixed final time and free final time problems are considered.

Keywords

calculus control numerical methods optimization systems theory

Authors and affiliations

  • Sunil Kumar Agrawal
    • 1
  • Brian C. Fabien
    • 2
  1. 1.Department of Mechanical EngineeringUniversity of DelawareNewarkUSA
  2. 2.Department of Mechanical EngineeringUniversity of WashingtonSeattleUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-015-9149-2
  • Copyright Information Springer Science+Business Media B.V. 1999
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-90-481-5205-6
  • Online ISBN 978-94-015-9149-2
  • Series Print ISSN 0925-0042
  • About this book