Automatic Nonlinear MPC Approximation With Closed-Loop Guarantees
IEEE Transactions on Automatic Control, vol. 70, pp. 6388–6403
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 proposingAlkia-x, the Adaptive and Localized Kernel Interpolation Algorithm with eXtrapolated reproducing kernel Hilbert space norm.Alkia-xis a non-iterative algorithm that ensures well-conditioned computations, a fast-to-evaluate approximating function, and the guaranteed satisfaction of any desired bound on the approximation error. Hence,Alkia-xautomatically computes an explicit function that approximates the MPC, yielding a controller suitable for safety-critical systems and high sampling rates. We applyAlkia-xto approximate two nonlinear MPC schemes, demonstrating reduced computational demand and applicability to realistic problems.
Authors 5
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Affiliation as printed
Department of Electrical Engineering and Automation, Aalto University, Espoo, Finland
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Affiliation as printed
Institute for Data Science in Mechanical Engineering, RWTH Aachen University, Aachen, Germany
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ETH Zurich · Institute for Dynamic Systems and Control
Affiliation as printed
Institute for Dynamic Systems and Control, ETH Zürich, Zürich, Switzerland
Institute for Dynamic Systems and Control, ETH Zurich, Zurich, Switzerland
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Affiliation as printed
Institute for Data Science in Mechanical Engineering, RWTH Aachen University, Aachen, Germany
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ETH Zurich · Institute for Dynamic Systems and Control
Affiliation as printed
Institute for Dynamic Systems and Control, ETH Zürich, Zürich, Switzerland
Institute for Dynamic Systems and Control, ETH Zurich, Zurich, Switzerland
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