Event-triggered impulsive adaptive synchronization control on delayed Lur’e networks

被引:0
|
作者
Wang Z.-H. [1 ]
Tang Z. [1 ,2 ]
Wang Y. [1 ,2 ]
Feng J.-W. [3 ]
机构
[1] School of Internet of Things Engineering, Jiangnan University, Jiangsu, Wuxi
[2] Engineering Research Center of Internet of Things Technology Application, Ministry of Education, Jiangnan University, Jiangsu, Wuxi
[3] College of Mathematics and Statistics, Shenzhen University, Guangdong, Shenzhen
关键词
adaptive control; event-triggered mechanism; impulsive control; Lur’e network; network synchronization;
D O I
10.7641/CTA.2023.30252
中图分类号
学科分类号
摘要
This article investigates the globally exponential impulsive adaptive synchronization problem of Lur’e network with hybrid time-varying delays. Firstly, an event-trigger-based impulsive feedback controller is designed to achieve the exponential synchronization and avoid consecutive control. In order to acquire optimal control strength, an adaptive updating law is designed to realize the dynamical balance between impulsive control and feedback control. Secondly, thanks to the application of generalized comparison principle and parameter-variation formula, sufficient conditions to achieve globally exponential synchronization under the proposed control scheme are derived. Meanwhile, the velocity of convergence is precisely estimated. Finally, relative simulation example is provided to illustrate the correctness and effectiveness of the proposed control scheme and theoretical analysis. © 2024 South China University of Technology. All rights reserved.
引用
收藏
页码:1296 / 1303
页数:7
相关论文
共 19 条
  • [1] BARABASI A L, OLTVAI Z N., Network biology: Understanding the cell’s functional organization, Nature Reviews Genetics, 5, 2, pp. 101-113, (2004)
  • [2] STROGATZ S H., Exploring complex networks, Nature, 410, 6825, pp. 268-276, (2001)
  • [3] SANDERSON D J, PEACOCK D C, NIXON C W, Et al., Graph theory and the analysis of fracture networks, Journal of Structural Geology, 125, pp. 155-165, (2019)
  • [4] REN Hongwei, DENG Feiqi, Review on synchronization control in stochastic complex networks, Control Theory & Applications, 34, 10, pp. 1261-1274, (2017)
  • [5] TANG Ze, XUAN Deli, WANG Yan, Et al., Cluster synchronization of heterogeneous Lur’e networks via pinning adaptive control, Control Theory & Applications, 37, 10, pp. 2107-2114, (2020)
  • [6] MOUSSA B, DEBBABI M, ASSI C., Security assessment of time synchronization mechanisms for the smart grid, IEEE Communications Surveys and Tutorials, 18, 3, pp. 1952-1973, (2016)
  • [7] WANG H L., Task-Space synchronization of networked robotic systems with uncertain kinematics and dynamics, IEEE Transactions on Automatic Control, 58, 12, pp. 3169-3174, (2013)
  • [8] NOVICENKO V, RATAS I., In-phase synchronization in complex oscillator networks by adaptive delayed feedback control, Physical Review E, 98, 4, (2018)
  • [9] LI Y L, FENG J W, WANG J Y., Mean square synchronization for stochastic delayed neural networks via pinning impulsive control, Electronic Reaearch Archive, 30, 9, pp. 3172-3192, (2022)
  • [10] TAN H L, WU J W, BAO H B., Event-triggered impulsive synchronization of fractional-order coupled neural networks, Applied Mathematics and Computation, 429, (2022)