May 21, 2024, 4:44 a.m. | Xiao Li, Yutong Li, Anouck Girard, Ilya Kolmanovsky

cs.LG updates on

arXiv:2312.06810v2 Announce Type: replace-cross
Abstract: The Neural Network (NN), as a black-box function approximator, has been considered in many control and robotics applications. However, difficulties in verifying the overall system safety in the presence of uncertainties hinder the deployment of NN modules in safety-critical systems. In this paper, we leverage the NNs as predictive models for trajectory tracking of unknown dynamical systems. We consider controller design in the presence of both intrinsic uncertainty and uncertainties from other system modules. In …

arxiv control cs.lg dynamics math.oc network neural network replace safe safety through tracking type uncertain

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