Abstract: This paper presents a novel approach to practical nonlinear model predictive control (PNMPC) using Kolmogorov–Arnold networks (KANs) as prediction models. KANs are based on the ...
Abstract: Handling model mismatch is a common challenge in model predictive control (MPC). While robust MPC is effective, its conservatism often makes it less desirable. Certainty-equivalence MPC ...
A carefully curated collection of high-quality tools, libraries, research papers, projects, and tutorials centered around Joint Embedding Predictive Architecture (JEPA) — a self-supervised learning ...
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