Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Mazouz, Rayan"'
Autor:
Mazouz, Rayan, Skovbekk, John, Mathiesen, Frederik Baymler, Frew, Eric, Laurenti, Luca, Lahijanian, Morteza
This paper introduces a method of identifying a maximal set of safe strategies from data for stochastic systems with unknown dynamics using barrier certificates. The first step is learning the dynamics of the system via Gaussian process (GP) regressi
Externí odkaz:
http://arxiv.org/abs/2405.00136
This paper presents a novel stochastic barrier function (SBF) framework for safety analysis of stochastic systems based on piecewise (PW) functions. We first outline a general formulation of PW-SBFs. Then, we focus on PW-Constant (PWC) SBFs and show
Externí odkaz:
http://arxiv.org/abs/2404.16986
In this paper, we present a controller framework that synthesizes control policies for Jump Markov Linear Systems subject to stochastic mode switches and imperfect mode estimation. Our approach builds on safe and robust methods for Model Predictive C
Externí odkaz:
http://arxiv.org/abs/2310.14116
Neural Networks (NNs) have been successfully employed to represent the state evolution of complex dynamical systems. Such models, referred to as NN dynamic models (NNDMs), use iterative noisy predictions of NN to estimate a distribution of system tra
Externí odkaz:
http://arxiv.org/abs/2206.07811