College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao, 266590, China.
Neural Netw. 2024 Dec;180:106658. doi: 10.1016/j.neunet.2024.106658. Epub 2024 Aug 26.
In this work, the exponential synchronization issue of stochastic complex networks with time delays and time-varying multi-links (SCNTM) is discussed via a novel aperiodic intermittent dynamic event-triggered control (AIDE-TC). The AIDE-TC is designed by combining intermittent control with an exponential function and dynamic event-triggered control, aiming to minimize the number of the required triggers. Then, based on the proposed control strategy, the sufficient conditions for exponential synchronization in mean square of SCNTM are obtained by adopting graph theoretic approach and Lyapunov function method. In the meanwhile, it is proven that the Zeno behavior can be excluded under the AIDE-TC, which ensures the feasibility of the control mechanism to realize the synchronization of SCNTM. Finally, we provide a numerical simulation on islanded microgrid systems to validate the effectiveness of main results and the simulation comparison results show that the AIDE-TC can reduce the number of event triggers.
在这项工作中,通过一种新颖的非周期间歇动态事件触发控制(AIDE-TC)来讨论具有时滞和时变多链路的随机复杂网络(SCNTM)的指数同步问题。AIDE-TC 通过将间歇控制与指数函数和动态事件触发控制相结合来设计,旨在最小化所需触发的数量。然后,基于所提出的控制策略,通过采用图论方法和 Lyapunov 函数方法,获得了 SCNTM 的均方指数同步的充分条件。同时,证明了在 AIDE-TC 下可以排除 Zeno 行为,这确保了控制机制实现 SCNTM 同步的可行性。最后,我们提供了一个孤岛微电网系统的数值模拟,以验证主要结果的有效性,并且仿真比较结果表明,AIDE-TC 可以减少事件触发的数量。