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Presents a number of new and potentially useful self-learning (adaptive) control algorithms and theoretical as well as practical results for both unconstrained

Presents a number of new and potentially useful self-learning (adaptive) control algorithms and theoretical as well as practical results for both unconstrained

This book considers a class of ergodic finite controllable Markov's chains. The main idea behind the method, described in this book, is to develop the original

This edited monograph contains research contributions on a wide range of topics such as stochastic control systems, adaptive control, sliding mode control and p

A presentation of techniques in advanced process modelling, identification, prediction, and parameter estimation for the implementation and analysis of industri