Efficient Neural Hybrid System Learning and Transition System Abstraction for Dynamical Systems

Yejiang Yang, Zihao Mo, Weiming Xiang

This paper proposes a neural network hybrid modeling framework for dynamics learning to promote an interpretable, computationally efficient way of dynamics learning and system iden…