Desensitized Model Predictive Control Applied to a Structural Benchmark Problem
نویسندگان
چکیده
This paper presents a model predictive control formulation that incorporates trajectory sensitivity to improve the robustness of the conventional model predictive control strategy. A structural control benchmark problem is used to illustrate the potential of the approach. The numerical results suggest that the proposed approach may be a viable option to increase the robustness of the conventional model predictive control strategy without increasing the computation requirements.
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