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Stochastic adaptive control with small observation noise
Abstract:Controlled diffusions depending on an unknown parameter and with small system perturbation are considered in this paper. Two parameter identification methods are proposed and error probabilities are estimated in terms of the small perturbation parameter. These methods are then used to choose among competing filters on successive time intervals. Asymptotically optimal controls based on partial observations are found on successive time intervals by using the best filter identified on the previous time intervals.
Keywords:Stochastic control  partial observations  small noise filtering  extended Kalman filter
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