Real-Time Optimization by Extremum-Seeking Control

An up-close look at the theory behind and application of extremum seeking
Originally developed as a method of adaptive control for hard-to-model systems, extremum seeking solves some of the same problems as today's neural network techniques, but in a more rigorous and practical way. Following the resurgence in popularity of extremum-seeking control in aerospace and automotive engineering, Real-Time Optimization by Extremum-Seeking Control presents the theoretical foundations and selected applications of this method of real-time optimization.
Written by authorities in the field and pioneers in adaptive nonlinear control systems, this book presents both significant theoretic value and important practical potential. Filled with in-depth insight and expert advice, Real-Time Optimization by Extremum-Seeking Control:
* Develops optimization theory from the points of dynamic feedback and adaptation
* Builds a solid bridge between the classical optimization theory and modern feedback and adaptation techniques
* Provides a collection of useful tools for problems in this complex area
* Presents numerous applications of this powerful methodology
* Demonstrates the immense potential of this methodology for future theory development and applications
Real-Time Optimization by Extremum-Seeking Control is an important resource for both students and professionals in all areas of engineering-electrical, mechanical, aerospace, chemical, biomedical-and is also a valuable reference for practicing control engineers.

Preface ix

I Theory 1

II Applications 91

Appendices 199

Bibliography 223

Index 235

"The subject matter is hard; this short book is therefore presented as an overview." (Computing Reviws.com, March 26, 2004)

"…a well-written and authoritative book…an essential resource for learning about extremum-seeking control and for motivating further developments in this subject area." (IEEE Control Systems Magazine, April 2004)

“...recommended..” (Choice, Vol. 41, No. 7, March 2004)

Kartik B. Ariyur is a research scientist at Honeywell Aerospace Electronic Systems in Minneapolis, Minnesota.

Miroslav Krstic´ is Professor of Mechanical and Aerospace Engineering at the University of California, San Diego.

An up-close look at the theory behind and application of extremum seeking

Originally developed as a method of adaptive control for hard-to-model systems, extremum seeking solves some of the same problems as today’s neural network techniques, but in a more rigorous and practical way. Following the resurgence in popularity of extremum-seeking control in aerospace and automotive engineering, Real-Time Optimization by Extremum-Seeking Control presents the theoretical foundations and selected applications of this method of real-time optimization.

Written by authorities in the field and pioneers in adaptive nonlinear control systems, this book presents both significant theoretic value and important practical potential. Filled with in-depth insight and expert advice, Real-Time Optimization by Extremum-Seeking Control:

• Develops optimization theory from the points of dynamic feedback and adaptation
• Builds a solid bridge between the classical optimization theory and modern feedback and adaptation techniques
• Provides a collection of useful tools for problems in this complex area
• Presents numerous applications of this powerful methodology
• Demonstrates the immense potential of this methodology for future theory development and applications

Real-Time Optimization by Extremum-Seeking Control is an important resource for both students and professionals in all areas of engineering–electrical, mechanical, aerospace, chemical, biomedical–and is also a valuable reference for practicing control engineers.