Self-Learning Control of Finite Markov Chains

List 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 author

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

Summary

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.

Product details

• Authors: E. Gomez-Ramirez, Kaddour Najim, Najim Kaddour, A.S. Poznyak, A.s. Najim Poznyak
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Paperback / Softback
• Released: 31.08.2019
• EAN: 9780367398996
• ISBN: 978-0-367-39899-6
• No. of pages: 314
• Subjects: Natural sciences, medicine, IT, technology > Technology > General, dictionaries; TECHNOLOGY & ENGINEERING / Quality Control, TECHNOLOGY & ENGINEERING / Industrial Engineering, TECHNOLOGY & ENGINEERING / Civil / General, SCIENCE / Mechanics / General, environmental science, engineering & technology, Engineering: general, Production & quality control management, Environmental science, engineering and technology, Production and quality control management