OPTIMAL ADAPTIVE CONTROL OF STOCHASTIC SYSTEMS.
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abstract
Some recent results in adaptive control are discussed. For two types of systems i. e. finite-state finite-control Markov chains and linear, quadratic, Gaussian systems, optimal adaptive control can be achieved through the choice of a modified maximum likelihood parameter estimator followed by a certainty equivalent control law. These adaptive controllers are discussed along with their convergence properties.