Topology Identification of Complex Dynamical Networks Under Dynamical Saturation Inputs

Authors

• Haoyu Wang, College of Automation, Nanjing University of Posts and Telecommunications, Nanjing 210023, China; Jiangsu Engineering Laboratory for Internet of Things and Intelligent Robotics, Nanjing 210023, China
• Yayong Wu, College of Automation, Nanjing University of Posts and Telecommunications, Nanjing 210023, China; Jiangsu Engineering Laboratory for Internet of Things and Intelligent Robotics, Nanjing 210023, China
• Guoping Jiang, College of Automation, Nanjing University of Posts and Telecommunications, Nanjing 210023, China; Jiangsu Engineering Laboratory for Internet of Things and Intelligent Robotics, Nanjing 210023, China
• Ying Zheng, College of Automation, Nanjing University of Posts and Telecommunications, Nanjing 210023, China; Jiangsu Engineering Laboratory for Internet of Things and Intelligent Robotics, Nanjing 210023, China
• Xuanxin Zhou, College of Automation, Nanjing University of Posts and Telecommunications, Nanjing 210023, China; Jiangsu Engineering Laboratory for Internet of Things and Intelligent Robotics, Nanjing 210023, China

Abstract

In view of the problem that the controller inputs in actual engineering systems are vulnerable to the constraints of dynamical saturation and delayed dynamical saturation, which makes it difficult for the topology identification of complex dynamical networks to adapt to real physical scenarios, a topology identification method based on the drive-response mechanism was proposed. A response network with the same dynamical characteristics and node scale as the original network was constructed, and the dynamical equation of synchronization error between the drive-response networks was established. A controller with dynamical saturation and delayed dynamical saturation and a topology identifier were designed, and sufficient conditions for the stability of the error system were derived using the Lyapunov stability method to achieve the outer synchronization of the drive-response networks, thereby accurately identifying the topology structure of the original network. Numerical simulation results verify the effectiveness of the proposed method.

Recommended Citation

Wang, Haoyu; Wu, Yayong; Jiang, Guoping; Zheng, Ying; and Zhou, Xuanxin (2026) "Topology Identification of Complex Dynamical Networks Under Dynamical Saturation Inputs," Journal of System Simulation: Vol. 38: Iss. 5, Article 4.
DOI: 10.16182/j.issn1004731x.joss.25-0571
Available at: https://dc-china-simulation.researchcommons.org/journal/vol38/iss5/4

First Page

1174

Last Page

1186

CLC

TP273; O231.5

Recommended Citation

Wang Haoyu, Wu Yayong, Jiang Guoping, et al. Topology Identification of Complex Dynamical Networks Under Dynamical Saturation Inputs[J]. Journal of System Simulation, 2026, 38(5): 1174-1186.

Corresponding Author

Wu Yayong

DOI

10.16182/j.issn1004731x.joss.25-0571