Event-Triggered Exponential Synchronization for Fuzzy Complex-Valued Inertial Neural Networks with Time-Varying Delays*

This paper primarily studies the exponential synchronization of Takagi-Sugeno (T-S) fuzzy delayed complex-valued neural networks with inertia term under event-triggered control strategy. Firstly, in order to avoid the chattering phenomena involved by sign functions, an exponential term is introduced and an event-triggered controller (ETC) with exponential gain is proposed to analyze the exponential synchronization problem. Secondly, new exponential synchronization conditions are obtained under event-triggered schemes by non-reduced order method. At the same time, through rigorous mathematical derivation, the avoidance of Zeno phenomenon can be verified. Finally, a example is used to show the effectiveness of our theoretical analysis.