Sun Shixiang, Ren Tao, Xu Yanjie
Software College, Northeastern University, Shenyang, Liaoning Province, 110169, China.
Software College, Northeastern University, Shenyang, Liaoning Province, 110169, China; Liaoning Key Laboratory of Intelligent Diagnosis and Safety for Metallurgical Industry, Shenyang, Liaoning Province, 110169, China.
ISA Trans. 2022 Sep;128(Pt A):450-459. doi: 10.1016/j.isatra.2021.10.016. Epub 2021 Oct 21.
The pinning synchronization scheme is investigated for stochastic multi-layer networks under the intra-layer coupling disturbance and stochastic noise. To save the control cost, a pinning control scheme is proposed. And some sufficient conditions in the form of the LMI are given, based on Lyapunov theory and stochastic analysis, to make sure that the multi-layer networks synchronize to a desired trajectory. Next, the selection scheme of pinned nodes is designed according to the structure of considered multi-layer networks. Finally, simulation examples are shown to illustrate the feasibility and availability of the designed pinning scheme.
研究了在层内耦合干扰和随机噪声作用下随机多层网络的牵制同步方案。为了节省控制成本,提出了一种牵制控制方案。基于李雅普诺夫理论和随机分析,给出了一些以线性矩阵不等式(LMI)形式表示的充分条件,以确保多层网络同步到期望轨迹。接下来,根据所考虑的多层网络结构设计了牵制节点的选择方案。最后,通过仿真示例说明了所设计的牵制方案的可行性和有效性。