Intelligent Fixed-Time Consensus for Uncertain Nonlinear Multi-Agent Systems

This paper investigates the issue of adaptive fuzzy fixed-time control of non-strict feedback nonlinear multi-intelligent systems. In this regard, a fuzzy logic system (FLS) is utilized to tackle the unknown nonlinear dynamics, and a non-singular fixed-time consensus control approach based on the adding power integral technique is then developed by building a novel integral-type Lyapunov function. Technically, a fixed-time adaptive fuzzy consensus control solution is formulated by engineering an integral-type Lyapunov function, which means that the tracking errors can convergence to zero in a fixed time. Finally, the effectiveness of the proposed asymptotic consensus control method is verified by a simulation example.