Higher request on wireless network communication channels is required for multi-agent systems with continuous protocol, which lowly utilizes its bandwidth. To address such an issue, a more flexible encoding-decoding scheme is proposed and the quasi-consensus investigated for a class of linear discrete-time perturbed multi-agent systems. The designed encoding-decoding scheme introduces new quantization variables, enabling the quantizer to adjust the appropriate quantization interval more flexibly. Moreover, to better fit practical application systems, the situation where both the system and encoder are subject to external disturbance is considered, making the considered model more general. According to the Lyapunov stability theory, sufficient conditions for achieving quasi-consensus are provided. Furthermore, and the error boundedness and the maximum quantization level of the quantizer are estimated. Finally, a MATLAB simulation example is presented to demonstrate the effectiveness of the results in this paper.

Considering the situation that multi-agent systems subject to an external disturbance in the complex environment and malicious attacks in the controller, the leader-following quasi-consensus of a class of disturbed nonlinear multi-agent system under the impulsive control and an event-triggered mechanism is studied. Unlike existing literature that requires a minimum triggering interval to be specified in advance, Zeno behavior is avoided by setting appropriate parameters in the designed dynamic event-triggered mechanism. Based on this mechanism, some sufficient conditions to achieve quasi-consensus are further proposed, and the upper bound of error states is also estimated. Finally, a numerical simulation example verifies the feasibility of the results.