Self-Learning Control of Finite Markov Chains

Discover the innovative world of adaptive control with "Self-Learning Control of Finite Markov Chains" by A.S. Poznyak. Published by Taylor & Francis Inc in the year 2000, this comprehensive hardback edition spans 316 pages and dives deep into the realm of stochastic control theory.

The book introduces a variety of self-learning control algorithms that are both novel and practical. Poznyak explores theoretical frameworks and practical results applicable to both constrained and unconstrained finite Markov chains. This insightful resource efficiently addresses the challenges of processing new information, illustrating how control strategies can be adjusted adeptly, whether directly or indirectly.

Ideal for professionals and students in the fields of engineering, mathematics, and technology, this book will enhance your understanding of Markov processes and their applications in automatic control engineering. Equip yourself with cutting-edge knowledge by adding this essential title to your library.