Adaptive Fuzzy Consensus Control for Unknown State-Delay Nonlinear Multiagent System
Fei Yan, Baolong Guo · 2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS) · 2018
This paper focuses on the leader-following consensus control problem of nonlinear multiagent systems. The fuzzy logic systems are used to approximate the system uncertainties from the unknown nonlinear dynamics, and a novel adaptive fuzzy controller is presented by combining the Lyapunov-Krasovskii functionals. With the help of Lyapunov-Krasovskii functionals the state-delay of systems is compensated. A major advantage of the proposed adaptive consensus method is that it can greatly reduce the computation burden. Finally, one simulation example is given to verify the effectiveness of the designed algorithm.