Distributed adaptive finite-time tracking for multi-agent systems and its application.

This paper focuses on the distributed adaptive finite-time control problem for nonlinear multi-agent systems (MASs). The fast practical finite-time criterion is extended to MASs. As such, a distributed adaptive finite-time protocol is established based on the recursion algorithm and neural networks (NNs), which provides a solution to cope with the adaptive finite-time regulate problem. Moreover, the proposed scheme is able to address the singular problem existing in the adaptive fuzzy/NN practical finite-time control. Furthermore, a simpler adaptive law is constructed. Finally, the presented method is applied to multiple robotic systems to illustrate its effectiveness. [ABSTRACT FROM AUTHOR]