H8 Pinning Synchronization Control for Markovian Intermittent Time-Varying Coupled Neural Networks Under Multiplicative Noises

被引:15
作者
Peng, Hui [1 ]
Huang, Jincheng [1 ]
Zhao, Zonghao [1 ]
Wang, Huijiao [2 ]
Shi, Peng [3 ]
机构
[1] Guangdong Univ Technol, Sch Automat, Guangdong Prov Key Lab Intelligent Decis & Coopera, Guangzhou 510006, Peoples R China
[2] Hangzhou Vocat & Tech Coll, Fair Friend Inst Intelligent Mfg, Hangzhou 310018, Peoples R China
[3] Univ Adelaide, Sch Elect & Mech Engn, Adelaide, SA 5005, Australia
基金
中国国家自然科学基金;
关键词
Coupled neural networks; time-varying couplings; pinning synchronization control; multiplicative noises; COMPLEX DYNAMICAL NETWORKS; SURE SYNCHRONIZATION; PINNING CONTROL; SYSTEMS;
D O I
10.1109/TCSI.2023.3288744
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
this paper, we study H-8 pinning synchronization control problem for Markovian intermittent coupled neural networks with time-varying coupling strengths, and the influence of multiplicative noises on actuators is also considered. A set of random variables of known mathematic expectations and variances is introduced to describe stochastically changing inter-actions among neural networks, and a two-states Markov chain is used to characterize the intermittently time-varying interactive relationship between neural network and its neighboring neural networks. By analyzing stability and H-8 disturbance attenuation performance of the obtained synchronization error systems, two sufficient conditions are derived to ensure global synchronization and H-8 global synchronization of the controlled networks respectively. Then, the pinning synchronization controllers are designed, and we can change control cost by varying the number of pinned nodes. Finally, an algorithm resulting the set of optimal pinned nodes which minimizes the H-8 disturbance attenuation performance index is provided, and a numerical example illustrating the effectiveness of the obtained theoretical results is given.
引用
收藏
页码:3712 / 3722
页数:11
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