Adaptive Fuzzy Bipartite Consensus for Nonlinear Multi-agent Systems with Guaranteed Performance
Lei Yan, Junhe Liu, Yi Peng, Zhi Liu · 2023
This article investigates adaptive fuzzy bipartite consensus control for multi-agent systems (MASs) with guaranteed performance. By simplifying the bipartite consensus control problem as a local tracking problem, the prescribed performance of the bipartite consensus error is ensured. In addition, distributed adaptive fuzzy bipartite consensus control scheme is developed for each agent using a series of smooth functions and the fuzzy logic system (FLS). It is essential to have only one adaptive method in each controller. With the proposed control scheme, it is proved that all the signals in the closed-loop system are bounded and the bipartite consensus error converges to a user-prescribed interval asymptotically as time goes to infinity. Finally, the effectiveness of the proposed scheme is validated by a networked pendulum system.