Kartik B.Ariyur – Real-Time Optimization by Extremum-Seeking Control

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Kartik B.Ariyur – Real-Time Optimization by Extremum-Seeking Control
Description
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.
Table of Contents
Preface.
I: THEORY.

SISO Scheme and Linear Analysis.
Multiparameter Extremum Seeking.
Slope Seeking.
Discrete Time Extremum Seeking.
Nonlinear Analysis.
Limit Cycle Minimization.

II: APPLICATIONS.

Antilock Braking.
Bioreactors.
Formation Flight.

10.Combustion Instabilities.

Compressor Instabilities: Part I.
Compressor Instabilities: Part II.

Appendix A: Continuous Time Lemmas.
Appendix B: Discrete Time Lemas.
Appendix C: Aircraft Dynamics in Close Formation Flight.
Appendix D: Derivation of (11.8) and (11.10).
Appendix E: Derivation of the Critical Slopes.
Appendix F: Proof of Lemma 11.1.
Bibliography.
Index.
Author Information
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.