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

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

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. Also

Written by authorities in the field and pioneers in adaptive nonlinear control systems, this book presents both significant theoretic value and important practical potential. Also

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. Also

Table of Contents

Preface.

I: THEORY.

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

II: APPLICATIONS.

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

10.Combustion Instabilities.

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

*Appendix A: Continuous Time Lemmas. Also

Appendix B: Discrete Time Lemas.

*Appendix C: Aircraft Dynamics in Close Formation Flight. Also

Appendix D: Derivation of (11.8) and (11.10).

*Appendix E: Derivation of the Critical Slopes. Also

Appendix F: Proof of Lemma 11.1.

Bibliography. Also

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. Also

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