Title: Self-learning control of finite Markov chains
First published: 2000
Description: "This rigorously focused reference/text presents a number of new and potentially useful self-learning (adaptive) control algorithms and theoretical as well as practical results for both unconstrained and constrained finite Markov chains - efficiently processing new information by adjusting control strategies directly or indirectly.".

"Featuring highly practical MATLAB programs for instruction and elaboration of key concepts, Self-Learning Control of Finite Markov Chains is a versatile reference for electrical, electronics, control, and software engineers; mathematicians; statisticians; and economists involved in stochastic games; and an invaluable text for upper-level undergraduate and graduate students in these disciplines."--BOOK JACKET.
Subjects: Stochastic control theory, Markov processes, Quality control, Reliability (Engineering), Mechanics, Qualité, Contrôle, Fiabilité, Mécanique, Mechanics (physics)
LC classification: QA274.7 .P69 2000