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Data-Driven discovery of governing physical laws and their parametric dependencies in engineering, physics and biology.

, , , and . CAMSAP, page 1-5. IEEE, (2017)

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Error Analysis for POD Approximations of Infinite Horizon Problems via the Dynamic Programming Approach., , and . SIAM J. Control. Optim., 55 (5): 3091-3115 (2017)An Accelerated Value/Policy Iteration Scheme for Optimal Control Problems and Games., , and . ENUMATH, volume 103 of Lecture Notes in Computational Science and Engineering, page 489-497. Springer, (2013)State-dependent Riccati equation feedback stabilization for nonlinear PDEs., , and . Adv. Comput. Math., 49 (1): 9 (February 2023)Adaptive POD-DEIM correction for Turing pattern approximation in reaction-diffusion PDE systems., , and . J. Num. Math., 31 (3): 205-230 (September 2023)Coupling MPC and DP Methods for an Efficient Solution of Optimal Control Problems., , and . System Modelling and Optimization, volume 494 of IFIP Advances in Information and Communication Technology, page 68-77. (2015)Data-Driven discovery of governing physical laws and their parametric dependencies in engineering, physics and biology., , , and . CAMSAP, page 1-5. IEEE, (2017)Feedback control of parametrized PDEs via model order reduction and dynamic programming principle., , and . Adv. Comput. Math., 46 (1): 9 (2020)An Adaptive POD Approximation Method for the Control of Advection-Diffusion Equations., and . Control and Optimization with PDE Constraints, volume 164 of International Series of Numerical Mathematics, Birkhäuser, (2013)State-dependent Riccati equation feedback stabilization for nonlinear PDEs., , and . CoRR, (2021)