Automatic

Inferring Moore Machine for Adaptive Online Hybrid Automaton Identification

Published on - IFAC World Congress 2023

Authors: Yan Monier, Gregory Faraut, Bruno Denis, Nabil Anwer

In the context of CPS modeling, this paper proposes a new method for online adaptive identification of hybrid systems. The method relies on a Moore machine identification process; We propose a mapping between a hybrid automaton and a discrete event Moore machine, and we develop a new online adaptive Moore machine identification method. A case study illustrates the proposed method.