Articoli correlati a Real-Time Optimization by Extremum-Seeking Control

Real-Time Optimization by Extremum-Seeking Control - Rilegato

Ariyur, Kartik B.; Krstic, Miroslav

 
9780471468592: Real-Time Optimization by Extremum-Seeking Control

Sinossi

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.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sull'autore

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.

Dalla quarta di copertina

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.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.