Sampled-Data-Based $\mathcal {H}_{\infty }$ Fuzzy Pinning Synchronization of Complex Networked Systems With Adaptive Event-Triggered Communications

In this article, the fuzzy pinning adaptive event-triggered control (FPAETC) problem related to complex networked systems is investigated. light of fact that underlying controllers are pinning, and threshold parameters can flexibly update their states based on latest current sampled signals rather than transmitted signals, a novel state-dependent FPAETC protocol devised reduce frequency event-triggering save more communication resources. Moreover, general time-dependent AETC proposed compared existing results. Then, in combination with graph theory, looped Lyapunov functional method, logic technique, some relaxed criteria establish relationship between synchronization desired $\mathcal {H}_{\infty }$ performance for considered system derived. Simulation results validate superiority derived theoretical