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Rayan Mazouz

2 accepted papers

2024

Feasibility-Guided Safety-Aware Model Predictive Control for Jump Markov Linear Systems

IROS 2024poster

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 Control (MPC), but in contrast to existing approach…

Cited by 2SourceScholar
2022

Safety Guarantees for Neural Network Dynamic Systems via Stochastic Barrier Functions

NeurIPS 2022accept

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 trajectories over time. Despite their accuracy, safe…