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Risk sensitive control of discrete time partially observed Markov Processes with Infinite Horizon
20
Citations
5
References
1999
Year
Mathematical ProgrammingDiscrete Time MarkovStochastic Hybrid SystemEngineeringSensitive ControlStochastic OptimizationUncertainty QuantificationRisk Sensitive ControlStochastic GameMarkov ProcessesStochastic SystemProcess ControlRisk Sensitive ApproximationSystems EngineeringProbability TheoryStochastic ControlDiscrete TimeMarkov Decision Process
In this paper existence of solutions to the Bellman equation corresponding to risk sensitive control of partially observed discrete time Markov processes is shown; this in turn leads to the existence of optimal strategies. The method used in the paper is based on discounted risk sensitive approximation
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