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Automatic nonlinear MPC approximation with closed-loop guarantees
April 12, 2024, 4:43 a.m. | Abdullah Tokmak, Christian Fiedler, Melanie N. Zeilinger, Sebastian Trimpe, Johannes K\"ohler
cs.LG updates on arXiv.org arxiv.org
Abstract: Safety guarantees are vital in many control applications, such as robotics. Model predictive control (MPC) provides a constructive framework for controlling safety-critical systems, but is limited by its computational complexity. We address this problem by presenting a novel algorithm that automatically computes an explicit approximation to nonlinear MPC schemes while retaining closed-loop guarantees. Specifically, the problem can be reduced to a function approximation problem, which we then tackle by proposing ALKIA-X, the Adaptive and Localized …
abstract algorithm applications approximation arxiv complexity computational control cs.lg cs.sy eess.sy framework loop math.oc mpc novel predictive presenting robotics safety safety-critical systems type vital
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