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Bipartite Tracking Control for Second-Order Stochastic Nonlinear Multi-Agent Systems with Dead-Zone Input

This paper researches the fuzzy adaptive bipartite tracking control problem of stochastic nonlinear multi-agent systems with dead-zone input. In order to introduce bipartite control into multi-agent systems, a novel fuzzy adaptive bipartite tracking strategy is proposed by employing backstepping technology. Fuzzy logic system is used to approximate unknown terms. On the basis of the presented method, the bipartite tracking control problem of stochastic multi-agent systems with dead-zone input is solved. It is proved that the bipartite tracking error can converge to the small neighborhood of the origin. Finally, a numerical example is given to verify the effectiveness of the proposed method.