Abstract
We consider a minimax optimal control problem for uncertain stochastic systems. The uncertainty in the underlying stochastic system is formulated in terms of probability measure perturbations satisfying a relative entropy constraint. By characterizing the worst-case measure of a related stochastic minimax game, it is shown that the worst-case uncertain system can be represented in the form of a parametric perturbation of nominal system.
| Original language | English |
|---|---|
| Pages (from-to) | 604-609 |
| Number of pages | 6 |
| Journal | Proceedings of the IEEE Conference on Decision and Control |
| Volume | 1 |
| Publication status | Published - 2002 |
| Externally published | Yes |
| Event | 41st IEEE Conference on Decision and Control - Las Vegas, NV, United States Duration: 10 Dec 2002 → 13 Dec 2002 |
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