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Stochastic Model Predictive Control with Dynamic Chance Constraints
The first problem concerns finding the maximal feasible probabilities of the dynamic chance constraints.
Abstracting Linear Stochastic Systems via Knowledge Filtering
In this paper, we propose a new model reduction technique for linear stochastic systems that builds upon knowledge filtering and utilizes optimal Kalman filtering techniques.
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