广东工业大学 自动化学院,广东,广州,510006
陈应瑟(1998–),男,硕士研究生,主要研究方向为多智能体系统一致性问题、脉冲控制、事件触发控制,E-mail:635720012@qq.com
彭世国(1967–),男,教授,博士生导师,主要研究方向为复杂系统随机控制理论,E-mail:psg7202@126.com
纸质出版:2024
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陈应瑟, 彭世国, 王永华. 动态事件触发脉冲机制下多智能体系统的拟一致性[J]. 广东工业大学学报, 2024, 41(4): 52-60.
Chen Ying-se, Peng Shi-guo, Wang Yong-hua. Quasi-consensus of Multi-agent System under Dynamic Event-triggered Impulsive Mechanism[J]. 2024, 41(4): 52-60.
陈应瑟, 彭世国, 王永华. 动态事件触发脉冲机制下多智能体系统的拟一致性[J]. 广东工业大学学报, 2024, 41(4): 52-60. DOI: 10.12052/gdutxb.230084.
Chen Ying-se, Peng Shi-guo, Wang Yong-hua. Quasi-consensus of Multi-agent System under Dynamic Event-triggered Impulsive Mechanism[J]. 2024, 41(4): 52-60. DOI: 10.12052/gdutxb.230084.
考虑到多智能体系统在复杂环境中受到外部干扰和控制器受到恶意攻击等问题,本文旨在研究一类受扰非线性多智能体系统在事件触发机制和脉冲控制下的领导跟随拟一致性。不同于现有文献中需要事先指定最小事件触发间隔,本文所设计的动态事件触发机制通过其参数的选择加以保证,从而避免了芝诺行为的发生。基于此机制,进一步给出了系统实现拟一致性的一些充分条件以及相应误差上界的估量值。最后,通过数值仿真例子验证了结果的有效性。
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.
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