Reduced-order observer-based fuzzy adaptive dynamic event-triggered consensus control for multi-agent systems with communication faults

This paper proposes an adaptive dynamic event-triggered cooperative control scheme for nonlinear multi-agent systems with communication fault and asymmetric input saturation. Firstly, the fuzzy logic system is applied to estimate the unknown nonlinear term. Secondly, a reduced-order observer is designed to address the state unmeasured problem caused by communication links faults, and based on the backstepping technology, two parameter adaptive laws are designed to compensate the adverse effects of the communication links faults. Meanwhile, to effectively solve the influence of asymmetric input saturation, the saturation function is converted to a linear form with respect to control input. Then, a dynamic event-triggered mechanism is proposed to reduce some unnecessary communication transmissions. Further, based on Lyapunov stability theory, it is proved that all signals in the closed-loop systems are cooperatively uniformly ultimately bounded. At last, the power network system is presented to illustrate the effectiveness of the proposed control method.