Discrete-time stochastic minimax control of partially observable systems
AuthorCharalambous, Charalambos D.
SourceProceedings of the IEEE Conference on Decision and Control
Proceedings of the IEEE Conference on Decision and Control
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This paper presents a sample path optimization technique, as an alternative to the ensample average in formulating and solving stochastic minimax dynamic games. The stochastic games are nonlinear, discrete-time, and partially observable. The controlled state and observation processes are subject to non-Gaussian inputs and square-summable disturbances.
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