Dual Asynchronous Switching Control for Fuzzy Semi-markov Jump Neural Networks with Multi-weighting Event-Triggered Scheme

This paper studies the event-triggered dual asynchronous switching control issue of fuzzy semi-Markov jump neural networks (FSMJNNs). First, a multi-weighting event-triggered scheme is designed to save network resources. Considering the mismatch premise variables and modes, a new membership functions-dependent Lyapunov-Krasovskii functional analysis method is proposed to derive the sufficient conditions for determining the dual asynchronous switching controller gains and guaranteeing the stability of FSMJNNs. Finally, a simulation example is given to illustrate the effectiveness of the proposed method.