Real-Time Optimization by Extremum-Seeking Control
Produktdetaljer
Biografisk notat
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.
"The subject matter is hard; this short book is therefore presented as an overview." (<i>Computing Reviws.com</i>, March 26, 2004) <p>"…a well-written and authoritative book…an essential resource for learning about extremum-seeking control and for motivating further developments in this subject area." (<i>IEEE Control Systems Magazine</i>, April 2004)</p> <p>“...recommended..” (<i>Choice</i>, Vol. 41, No. 7, March 2004)</p>
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.
Preface ix
I Theory 1
II Applications 91
Appendices 199
Bibliography 223
Index 235
Originally developed as a method of adaptive control for hard-to-model systems, extremum seeking solves some of the same problems as todays 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 engineeringelectrical, mechanical, aerospace, chemical, biomedicaland is also a valuable reference for practicing control engineers.
Produktdetaljer
Biografisk notat
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.