Description
Book SynopsisAn 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
Trade Review"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)
Table of ContentsPreface ix
I Theory 1
II Applications 91
Appendices 199
Bibliography 223
Index 235
