Data-driven stabilizing model predictive control of nonlinear systems


This work will focus on computational aspects of using data-driven approaches to obtain stabilizing MPC formulations. The approaches will include use of physics inspired NNs, recurrent NNs, as well as nonlinear extensions of purely trajectory based descriptions.

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