Cooperative Fault-Tolerant Control for Networks of Stochastic Nonlinear Systems With Nondifferential Saturation Nonlinearity

This article addresses the cooperative fault-tolerant control problem for networks of stochastic nonlinear systems with actuator faults and input saturation. The fuzzy neural (FNNs) are employed to estimate unknown functions disturbance terms. To analyze nondifferential saturation nonlinearity, a smooth function signal is constructed function. A novel adaptive protocol proposed by using backstepping design technique. By Lyapunov functional strategy, it proved that all followers’ outputs eventually converge small neighborhood leader’s output, signals in closed-loop bounded probability. Finally, performance strategy illustrated through simulation.