Fixed-Time Adaptive Fuzzy Containment Dynamic Surface Control for Nonlinear Multiagent Systems

This article investigates the fixed-time adaptive fuzzy containment control problem for nonlinear multiagent systems under the directed communication topologies. The controlled systems have the unknown internal dynamics and mismatched disturbances, and fuzzy logic systems are utilized to identify the unknown internal dynamics. The mismatched disturbances and approximate errors are reconstructed via a disturbance observer. Then, by introducing an adding power integral method, a fixed-time adaptive fuzzy containment DSC scheme is developed to deal with the problem of computation complexity. The presented containment control method can not only guarantee that the controlled system is semiglobal practical fixed-time stable, but also avoid the singular problem in fixed-time backstepping recursive control technology. Finally, an application of marine surface vehicle is provided to verify the effectiveness of the presented fixed-time fuzzy containment control method.

Automated summary

This article investigates the fixed-time adaptive fuzzy containment control problem for nonlinear multiagent systems. Fuzzy logic systems are utilized to identify the unknown internal dynamics, and a disturbance observer is used to reconstruct the mismatched disturbances and approximate errors. By introducing an adding power integral method, a fixed-time adaptive fuzzy containment DSC scheme is developed to deal with the problem of computation complexity.