基于端节点部分分量辅助的星型网络中央节点跟踪控制
Central Node Tracking Control of Star Networks via Partial Components Assistance of Terminal Nodes
DOI: 10.12677/AAM.2024.132057, PDF,    科研立项经费支持
作者: 李 璟*, 张丽丽:广东工业大学数学与统计学院,广东 广州
关键词: 星型复杂动态网络中央节点跟踪控制不同维数Star Complex Dynamical Network Central Node Tracking Control Different Dimensions
摘要: 讨论了一类星型复杂动态网络通过端节点的部分分量辅助中央节点实现中央节点的跟踪控制问题。此类星型网络由具有不同状态维数的节点构成,控制器仅施加于中央节点上。在给定中央节点跟踪目标的情况下,为端节点设计辅助跟踪目标,并结合控制理论和稳定性理论,提出自适应控制策略使星型网络的中央节点在控制作用下实现跟踪。所提出的跟踪控制策略的有效性和正确性,既从理论上进行了严格证明,也通过数值仿真进行了验证。
Abstract: The tracking control of the central node assisted by the partial components of the terminal nodes for a class of star complex dynamical networks is discussed in this paper. The star network in this paper consists of nodes with different state dimensions, and the controller is applied only on the central node. Given the tracking target of the central node, the auxiliary tracking targets are de-signed for the terminal nodes and the adaptive control strategy is proposed to guarantee the cen-tral node of the star network realizing tracking based on the control theory and stability theory. The validity and correctness of the proposed tracking control strategy are rigorously proved theoreti-cally and also verified by numerical simulations.
文章引用:李璟, 张丽丽. 基于端节点部分分量辅助的星型网络中央节点跟踪控制[J]. 应用数学进展, 2024, 13(2): 589-598. https://doi.org/10.12677/AAM.2024.132057

参考文献

[1] 方荣东, 王银河, 汤晓. 一类具有异维节点的复杂动态网络外同步控制[J]. 复杂系统与复杂性科学, 2021, 18(3): 9-14.
[2] 罗鸿秋, 胡圣波, 莫金容. 基于LTE的分布式无人作战平台星型网络性能分析[J]. 贵州师范大学学报(自然科学版), 2022, 40(1): 101-106.
[3] Al-Ayyoub, A.E. and Day, K. (2003) Node-Ranking Schemes for the Star Networks. Journal of Parallel and Distributed Computing, 63, 239-250. [Google Scholar] [CrossRef
[4] Shafieinejad, A., Hendessi, F. and Fekri, F. (2013) Star-Structure Network Coding for Multiple Unicast Sessions in Wireless Mesh Networks. Wireless Personal Commu-nications, 72, 2185-2214. [Google Scholar] [CrossRef
[5] Yaman, H. and Elloumi, S. (2012) Star p-Hub Center Problem and Star p-Hub Median Problem with Bounded Path Lengths. Computers & Operations Research, 39, 2725-2732. [Google Scholar] [CrossRef
[6] 舒睿, 陈伟, 肖井华. 多个耦合星型网络的同步优化[J]. 物理学报, 2019, 68(18): 180503.
[7] Refaee, E.A. and Ahmad, A. (2021) A Study of Hexagon Star Network with Ver-tex-Edge-Based Topological Descriptors. Complexity, 2021, Article ID: 9911308. [Google Scholar] [CrossRef
[8] 杨玻, 王婷, 朱守园, 孙志颖. 基于星型结构的RapidIO交换网络配置方法研究[J]. 航空计算技术, 2018, 48(4): 89-92.
[9] 祝熙娟, 王帅. 基于旋转周期解的星型网络同步问题[J]. 吉林大学学报(理学版), 2022, 60(6): 1326-1334.
[10] 余莹莹, 方华京. 多智能体系统的有限时间跟踪控制[J]. 系统工程与电子技术, 2011, 33(8): 1871-1874.
[11] 王栋, 吕洋, 马子飞. 控制输入受限无人机轨迹跟踪与防撞一体化导引控制[J]. 无人系统技术, 2023, 6(2): 52-60.
[12] Gao, P.T., Shan, C., Wang, Y.H. and Liu, C.H. (2024) Velocity Tracking Control of Nodes for the Nonlinear Complex Dynamical Networks Associated with Outgoing Links Subsystem. Computer Communications, 214, 167-173. [Google Scholar] [CrossRef
[13] Liu, L.Z., Wang, Y.H. and Gao, Z.L. (2020) Tracking Control for the Dynamic Links of Discrete-Time Complex Dynamical Network via State Observer. Applied Mathematics and Computation, 369, Article ID: 124857. [Google Scholar] [CrossRef
[14] Vega, C.J., Sanchez, E.N. and Chen, G. (2018) Trajectory Track-ing on Complex Networks with Non-Identical Chaotic Nodes via Inverse Optimal Pinnng Control. IEEE Control Systems Letters, 4, 635-640. [Google Scholar] [CrossRef
[15] Gao, P.T., Wang, Y.H., Peng, Y., et al. (2023) Tracking Con-trol of the Nodes for the Complex Dynamical Network with the Auxiliary Links Dynamics. Information Sciences, 628, 350-359. [Google Scholar] [CrossRef
[16] Zhang, L.L., Wang, Y.H. and Wang, Q.R. (2015) Adaptive Fuzzy Synchronization for Uncertain Chaotic Systems with Different Dimensions and Disturbances. International Jour-nal of Fuzzy Systems, 17, 309-320. [Google Scholar] [CrossRef
[17] 刘雪雪, 李非兵, 马忠军. 领导-跟随多智能体系统在自适应牵制控制下部分分量一致性[J]. 桂林电子科技大学学报, 2021, 41(3): 247-252.
[18] Li, L.L., Jiang, W.L. and Tu, Z.W. (2023) Adaptive Control of Nonlinear Impulsively Coupled Complex Networks with Mismatching Conditions. In-ternational Journal of Robust and Nonlinear Control, 33, 5553-5565. [Google Scholar] [CrossRef
[19] Yang, C.H., Yang, Y.Q., Yang, C.D., Zhu, J., Zhang, A.C. and Qiu, J.L. (2022) Adaptive Control for Synchronization of Semi-Linear Complex Spatio-Temporal Networks with Time-Invariant Coupling Delay and Time-Variant Coupling Delay. International Journal of Adaptive Control and Signal Processing, 36, 2640-2659. [Google Scholar] [CrossRef
[20] Peng, Y., Wang, Y.H., Gao, Z.L. and Zhang, L.L. (2019) Adaptive Control for Complex Dynamical Networks with Structural Balance via External Stimulus Signals. Modern Physics Letters B, 33, Article ID: 1950415. [Google Scholar] [CrossRef
[21] Gu, H.B., Liu, K.X. and Lu, J.H. (2020) Adaptive PI Control for Synchronization of Complex Networks with Stochastic Coupling and Nonlinear Dynamics. IEEE Transactions on Circuits and Systems I: Regular Papers, 67, 5268-5280. [Google Scholar] [CrossRef
[22] Zhang, G.C., Xia, Y.Q., Li, X.F. and He, S.P. (2022) Mul-tievent-Triggered Sliding-Mode Control for a Class of Complex Dynamic Network. IEEE Transactions on Control of Network Systems, 9, 835-844. [Google Scholar] [CrossRef
[23] Fan, B.L., Zhang, Y., Chen, Y. and Meng, L.B. (2022) Intelli-gent Vehicle Lateral Control Based on Radial Basis Function Neural Network Sliding Mode Controller. CAAI Transac-tions on Intelligence Technology, 7, 455-468. [Google Scholar] [CrossRef
[24] Wang, S., Hui, Y., Sun, X. and Shi, D. (2019) Neural Network Sliding Mode Control of Intelligent Vehicle Longitudinal Dynamics. IEEE Access, 7, 162333-162342. [Google Scholar] [CrossRef
[25] Hui, M., Zhang, J.H., Iu, H.H., Yao, R. and Bai, L. (2022) A Novel Intermittent Sliding Mode Control Approach to Finite-Time Synchronization of Complex-Valued Neural Net-works. Neurocomputing, 513, 181-193. [Google Scholar] [CrossRef
[26] Zhao, J.C., Lu, J.A. and Wu, X.Q. (2010) Pinning Control of General Complex Dynamical Networks with Optimization. Science China Information Sciences, 53, 813-822. [Google Scholar] [CrossRef
[27] Kong, F.D. and Sun, J.P. (2021) Synchronization of Complex Dynamical Networks on Time Scales via Pinning Control. Mathematical Problems in Engineering, 2021, Article ID 5544063. [Google Scholar] [CrossRef
[28] 吴曼, 张丽丽. 具有不同节点的复杂动态网络有限时间部分状态分量同步控制[J]. 广东工业大学学报, 2023, 40(4): 94-101.
[29] 陈莉, 张丽丽, 雷友发. 含未知结构的多重连接网络的渐近广义同步[J]. 仲恺农业工程学院学报, 2023, 36(2): 31-38.
[30] Vega, C.J., Suarez, O.J., Sanchez, E.N., et al. (2019) Trajectory Tracking on Complex Networks via Inverse Optimal Pinning Control. IEEE Transactions on Automatic Control, 64, 767-774.
[31] Perez, J.P., Joel, P.P., Angel, F.H., et al. (2014) Complex Dy-namical Network Control for Trajectory Tracking Using Delayed Recurrent Neural Networks. Mathematical Problems in Engineering, 2014, Article ID: 162610. [Google Scholar] [CrossRef
[32] Gao, Z.L., Li, Y.F., Wang, Y.H. and Liu, S.P. (2022) Distributed Tracking Control of Structural Balance for Complex Dynamical Networks Based on the Coupling Targets of Nodes and Links. Complex & Intelligent Systems, 9, 881-889. [Google Scholar] [CrossRef
[33] Njougouo, T., Simo, G.R., Louodop, P., Ferreira, F.F. and Talla, P.K. (2020) Dynamics of Rossler Oscillators in a Star Network with the Central Node Controlled by an External System. Nonlinear Dynamics, 102, 2875-2885. [Google Scholar] [CrossRef
[34] Chai, L., Liu, J., Chen, G.R. and Zhao, X. (2021) Dynamics and Synchronization of a Complex-Valued Star Network. Science China Technological Sciences, 64, 2729-2743. [Google Scholar] [CrossRef
[35] Kawano, R. and Sugitani, Y. (2022) Stabilitya Analysis of Partial Amplitude Death in Delay-Coupled Star Networks. 2022 International Symposium on Nonlinear Theory and Its Appli-cations, Rijeka, 12-15 December 2022, pages.
[36] Zhou, L.L., Wang, C.H., He, H.Z., et al. (2015) Time Controllable Combinatorial Inner Synchronization and Outer Synchronization of Anti-Star Networks and Its Application in Secure Communication. Communications in Nonlinear Science and Numerical Simulation, 22, 623-640. [Google Scholar] [CrossRef
[37] Sun, M.X. (2009) A Barbalat-Like Lemma with Its Application to Learning Control. IEEE Transactions on Automatic Control, 54, 2222-2225. [Google Scholar] [CrossRef
[38] 武相军, 王兴元. 基于非线性控制的超混沌Chen系统混沌同步[J]. 物理学报, 2006, 55(12): 6261-6266.
[39] 牛玉刚, 杨成梧, 邹云. 不确定机器人轨迹跟踪的自适应神经网络控制[J]. 电工技术学报, 2001, 16(3): 35-38.