Event-Triggered Control for Leader-Following Bipartite Bounded Consensus of Multi-agent Systems Under Quantized Information

This paper investigates the event-triggered bipartite consensus for linear multi-gent systems (MASs) subject to quantized communication on the basis of a connected structurally balanced signed graph. Firstly, one proposes a control strategy combined of logarithmic quantizer and a dynamic event-triggered strategy. Then, based on Lyapunov function approach, sufficient conditions for the bounded bipartite consensus of MASs with event-trigger and relative quantized state measurements are derived. Furthermore, the Zeno behavior is excluded for the triggering time sequences. Finally, simulation study is given to verify the effectiveness of the proposed dynamic event-triggered control strategy with quantized relative state measurements.