Intermittent Event-triggered Synchronization Control of Interval Type-2 Fuzzy Neural Network with Time-varying Delay

This paper investigates the exponential synchronization problem of Interval Type-2 Fuzzy Neural Networks with time-varying delay. To save control cost and limited bandwidth, an Intermittent Event-Triggered Control strategy that combines the advantages of an intermittent control scheme and event-triggered control scheme is proposed. Unlike traditional periodic intermittent event-triggered control, we consider a general periodic intermittent event-triggered control scheme with variable width in this paper. In addition, a low conservative exponential synchronization criterion was established by combining the Lyapunov stability theory, reciprocally convex inequality, and integral inequality. Finally, a numerical example is provided to demonstrate the effectiveness and feasibility of the proposed scheme.