Adaptive event-triggered control for time-delay multi-agent systems with actuator faults and asymmetric error constraints
利蓉 范, 芳 王, 超 周, 坤 王 · Scientia Sinica Informationis · 2021
This article proposes an adaptive event-triggered control strategy for the consensus tracking control problem in nonlinear multi-agent systems. First, by introducing the asymmetric barrier function, output error can satisfy asymmetric constraints. The Lyapunov-Krasovskii (L-K) functional and Young inequality are then used to eliminate the influence of state time delays. The fuzzy logic system is used to approximate the unknown nonlinear function. Furthermore, using a bound estimation approach and a smooth function, the effects of the actuator faults, as well as the network-induced error, are effectively compensated for. According to the Lyapunov stability theory, the closed-loop systems have semi-globally bounded stability. Finally, the validity of the designed control strategy is verified by simulation.