Adaptive Fuzzy Containment Control for Uncertain Nonlinear Multiagent Systems

Abstract EN

This paper considers the containment control problem for uncertain nonlinear multiagent systems under directed graphs.

The followers are governed by nonlinear systems with unknown dynamics while the multiple leaders are neighbors of a subset of the followers.

Fuzzy logic systems (FLSs) are used to identify the unknown dynamics and a distributed state feedback containment control protocol is proposed.

This result is extended to the output feedback case, where observers are designed to estimate the unmeasurable states.

Then, an output feedback containment control scheme is presented.

The developed state feedback and output feedback containment controllers guarantee that the states of all followers converge to the convex hull spanned by the dynamic leaders.

Based on Lyapunov stability theory, it is proved that the containment control errors are uniformly ultimately bounded (UUB).

An example is provided to show the effectiveness of the proposed control method.