Event-triggered fuzzy adaptive quantized control for nonlinear multi-agent systems in nonaffine pure-feedback form

In this paper, we address the problem of event-triggered fuzzy adaptive quantized control for stochastic nonlinear non-affine pure-feedback multi-agent systems. The logic system is used to estimate disturbance term and unknown functions. A nonlinearity decomposition method asymmetric hysteresis quantizer proposed by applying sector bound property. Moreover, reduce communication burden, an protocol with a varying threshold constructed. Based on backstepping technique Lyapunov function method, novel laws are By using stability theory, it demonstrated that all signals bounded in closed-loop systems probability outputs followers converge neighborhood leader output. Simulation results illustrate effectiveness our scheme.