Self-learning control of finite Markov chains
By: A.S. Poznyak, K. Najim, E. Gómez-Ramírez
Contributors: Najim, K; Gomez-Ramirez, E., 1968-
Series: Control engineering -- 4; Control engineering (Marcel Dekker) -- 4
Publisher: Marcel Dekker; CRC
Published: 2000
Place of publication: New York
Language: eng
Number of pages: 298
Subjects: Markov processes; Stochastic control theory
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.
Notes: Includes bibliographical references and index