摘要
本文研究了一类非线性网络化多智能体系统的事件驱动控制问题。为了合理利用网络资源,减少智能体间冗余的数据传输,设计了一种新的事件驱动控制方案,这一驱动方案中数据传输的时间间隔由采样数据决定,可以避免Zeno现象,提高系统控制性能。同时考虑了数据传输时时间延迟的影响。结合Lyapunov稳定性理论等相关定义和引理,得到了使多智能体系统趋于一致的一个充分条件。最后,给出一个数值仿真算例,验证所得结论的合理性。
In this paper, the problem of event-triggered control for a class of nonlinear networked multi-agent systems is studied. In order to utilize network resources rationally and reduce redundant data transmission between agents, a new event-triggered control scheme is designed. In this scheme, the data transmission interval is determined by the sampled data, which can avoid Zeno phenomenon and improve system control performance. The influence of time delay in data transmission is also considered. Combined with Lyapunov stability theory and other related definitions and lemma, a sufficient condition for achieving consensus of multi-agent system is obtained. Finally, a numerical simulation example is given to verify the rationality of the conclusion.
出处
《理论数学》
2022年第4期645-652,共8页
Pure Mathematics
