Self-Learning Control of Finite Markov Chains: 1st Edition (Paperback) book cover

Self-Learning Control of Finite Markov Chains

1st Edition

By A.S. Poznyak, Kaddour Najim, E. Gomez-Ramirez

CRC Press

314 pages

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Description

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 the control strategies directly or indirectly.

Table of Contents

Controlled Markov chains. Unconstrained Markov chains: Lagrange multipliers approach; penalty function approach; projection gradient method. Constrained Markov chains: Lagrange multipliers approach; penalty function approach; nonregular Markov chains; practical aspects.

About the Authors

Poznyak, A.S.; Najim, Kaddour; Gomez-Ramirez, E.

Subject Categories

BISAC Subject Codes/Headings:
SCI041000
SCIENCE / Mechanics / General
TEC009020
TECHNOLOGY & ENGINEERING / Civil / General
TEC009060
TECHNOLOGY & ENGINEERING / Industrial Engineering
TEC032000
TECHNOLOGY & ENGINEERING / Quality Control