Description
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.
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