Intermittent pinning synchronization of reaction–diffusion neural networks with multiple spatial diffusion couplings

被引：0
作者：
Xiaona Song
Mi Wang
Shuai Song
Zhen Wang
机构：
[1] Henan University of Science and Technology,School of Information Engineering
[2] Nanjing University of Science and Technology,School of Automation
[3] Shandong University of Science and Technology,College of Mathematics and Systems Science
来源：
Neural Computing and Applications | 2019年 / 31卷
关键词：
Intermittent control; Pinning synchronization; Reaction–diffusion neural networks; Spatial diffusion coupling;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper addresses the intermittent pinning synchronization problem of spatial diffusion coupled reaction–diffusion neural networks (RDNNs). Initially, the synchronization error signals are quantized before transmission to save both channel resource and control cost. Subsequently, utilizing intermittent pinning control scheme, only a small fraction of network nodes are selected to be controlled in various time periods, which further reduces the control cost. On the basis of the constructed controller, sufficient conditions that guarantee the synchronization of the coupled RDNNs are derived via Lyapunov direct method. Finally, the efficacy of the developed control approach is demonstrated by numerical simulation studies of three examples.
引用
收藏
页码：9279 / 9294
页数：15
相关论文
共 154 条
  • [1] Shen H(2016)Extended dissipative state estimation for Markov jump neural networks with unreliable links IEEE Trans Neural Netw Learn Syst 28 346-358
  • [2] Zhu Y(2016)Load frequency controller design via BAT algorithm for nonlinear interconnected power system Int J Electr Power Energ Syst 77 166-177
  • [3] Zhang L(2016)Finite-time stability criteria for a class of fractional-order neural networks with delay Neural Comput Appl 27 549-556
  • [4] Park JH(2017)Event-triggered Neural Comput Appl 28 3815-3825
  • [5] Abd Elazim S(2016) state estimation for discrete-time neural networks with mixed time delays and sensor saturations Int J Electr Power Energ Syst 76 136-146
  • [6] Ali E(2018)Imperialist competitive algorithm for optimal STATCOM design in a multimachine power system Neural Comput Appl 30 607-616
  • [7] Chen L(2018)Load frequency controller design of a two-area system composing of PV grid and thermal generator via firefly algorithm Neural Comput Appl 30 261-270
  • [8] Liu C(2010)Mine blast algorithm for environmental economic load dispatch with valve loading effect Curr Opin Neurobiol 20 150-155
  • [9] Wu R(2017)Synchronous neural activity and memory formation IEEE Trans Cybern 47 1860-1871
  • [10] He Y(2014)Distributed position-based consensus of second-order multiagent systems with continuous/intermittent communication Inf Sci 259 25-35
12345678910