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Found 4 papers, 0 papers with code
A Distributionally Robust Approach to Regret Optimal Control using the Wasserstein Distance
We compare the minimax regret optimal control design method with the distributionally robust optimal control approach using an illustrative example and numerical experiments.
Data-Driven Approximations of Chance Constrained Programs in Nonstationary Environments
We study sample average approximations (SAA) of chance constrained programs.
Stochastic output feedback MPC with intermittent observations
We analyse robustness of the proposed control law with respect to possible uncertainties in the arrival probability of sensor data and we bound the impact of these uncertainties on constraint satisfaction and the discounted cost.
Stochastic MPC with Dynamic Feedback Gain Selection and Discounted Probabilistic Constraints
With dynamic feedback gain selection, the closed loop cost is reduced and conservativeness of Chebyshev's inequality is mitigated.
