John S. Baras


Maximum Entropy Models, Dynamic Games, and Robust Output Feedback Control for Automata

J.S. Baras, and M.Rabi

44th IEEE Conference on Decision and Control and the European Control Conference (CDC-ECC '05), Seville, Spain, 12-15 December 2005.

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In this paper, we develop a framework for designing controllers for automata which are robust with respect to uncertainties. A deterministic model for uncertainties is introduced, leading to a dynamic game formulation of the robust control problem. This problem is solved using an appropriate information state. We derive a Hidden Markov Model as the maximum entropy stochastic model for the automaton. A risk-sensitive stochastic control problem is formulated and solved for this Hidden Markov Model. The two problems are related using small noise limits.

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