Kartik B. Ariyur, Miroslav Krstic, Real-Time Optimization by Extremum-Seeking Control (Repost)

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.