Discrete-time stochastic minimax control of partially observable systems
Ημερομηνία
2001Source
Proceedings of the IEEE Conference on Decision and ControlProceedings of the IEEE Conference on Decision and Control
Volume
2Pages
1277-1279Google Scholar check
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Εμφάνιση πλήρους εγγραφήςΕπιτομή
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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