KARTIK B.ARIYUR – REAL-TIME OPTIMIZATION BY EXTREMUM-SEEKING CONTROL

DESCRIPTION

An up- close look at the application of the theory. As a method of adaptive control for hard-to-model systems, extremum seeking was originally developed to solve some of the same problems as today’s neural network techniques, but in a more rigorous and practical way. Real-Time Optimization by Extremum-Seeking Control presents the theoretical foundations and selected applications of this method of real-time optimization, following the resurgence in popularity of extremum-seeking control in automotive engineering. It’s not like it’s like it’s like it’s like it’s like it’s like it’s like it’s like it’s like it’s like it’s like it’s like it’s like it’s like it Theoretic value and important practical potential are presented in this book, written by authorities in the field. Real-Time Optimization by Extremum-Seeking Control is filled with in-depth insight and expert advice. The theory is developed from the points of dynamic feedback and adaptation. There is a bridge between classical and modern feedback and adaptation techniques. Tools for problems in this complex area are provided. There are a lot of applications of this powerful methodology. This methodology has immense potential 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, and is also a valuable reference for practicing control engineers.

TABLE OF CONTENTS

Preface.

I: THEORY.

1. SISO Scheme and Linear Analysis.
2. Multiparameter Extremum Seeking.
3. Slope Seeking.
4. Discrete Time Extremum Seeking.
5. Nonlinear Analysis.
6. Limit Cycle Minimization.

There are applications.

7. Antilock Braking.
8. Bioreactors.
9. Formation Flight.

There are bustion instabilities.

11. Compressor Instabilities: Part I.
12. Compressor Instabilities: Part II.

Continuous Time Lemmas is in Appendix A.

There is an Appendix B about time Lemas.

There are aircraft dynamics in close formation flight in Appendix C.

There is aDerivation of (11.8) and (11.10) in Appendix D.

Derivation of the Critical Slopes is in Appendix E.

There is a Proof of Lemma in Appendix F.

There is a bibliography.

Index.

AUTHOR INFORMATION

A research scientist at the company is named Kartik B. Ariyur.

Professor Krstic is at the University of California, San Diego.