Self-Learning Control of Finite Markov Chains

Discover the innovative world of self-learning control with Self-Learning Control of Finite Markov Chains by Alexander S. Poznyak. Published in 2019 by Taylor & Francis Ltd, this comprehensive paperback spans 314 pages and presents a range of new and functional self-learning (adaptive) control algorithms. Poznyak expertly explores both theoretical and practical outcomes for managing finite Markov chains, whether constrained or unconstrained. The book delves into the efficient processing of new information, demonstrating how to adjust control strategies effectively. Ideal for professionals and students in control theory and Markov processes, this title is a valuable resource for anyone looking to deepen their understanding of adaptive control in dynamic systems. Enhance your knowledge and skills in this evolving field today!