Self-Learning Control of Finite Markov Chains

1. Auflage 2000
ISBN: 978-0-8247-9429-3
Verlag: Taylor & Francis Inc

Buch, Englisch, 316 Seiten, Format (B × H): 174 mm x 246 mm, Gewicht: 703 g

Reihe: Automation and Control Engineering

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.

Zielgruppe

Professional Practice & Development

Autoren/Hrsg.

Poznyak, A.S.

Najim, Kaddour

Gomez-Ramirez, E.

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik Stochastische Prozesse
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Überwachungstechnik
• Mathematik | Informatik Mathematik Stochastik Elementare Stochastik

Inhaltsverzeichnis

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.

Über Autor(innen)

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