Abstract

This paper considers the fast bipartite consensus problem for multi-agent systems with antagonistic interactions. In order to improve the rate of convergence, a novel bipartite consensus control law with state predictor is proposed. Theoretical analysis shows that the control strategy can increase algebraic connectivity and decrease the settling time of the state trajectories. Simulation example illustrates the theoretical results.

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