Novel Approach to Integral Sliding Mode Leader-Following Consensus Tracking Control for Nonlinear Multi-Agent Systems

Strategic Insights -

A team of researchers at Qiqihar University has proposed a novel approach to integral sliding mode leader-following consensus tracking control for nonlinear multi-agent systems with homogeneous dynamics under hybrid cyber attacks. The significance of this work lies in its ability to enhance system resilience in adversarial environments while optimizing resource efficiency. Funded by the National Natural Science Foundation of China (NSFC) and the Natural Science Foundation of Heilongjiang Province, the research has been peer-reviewed and published in the International Journal of Adaptive Control and Signal Processing.

Key Takeaways:

  • The researchers proposed a novel approach to integral sliding mode leader-following consensus tracking control for nonlinear multi-agent systems with homogeneous dynamics under hybrid cyber attacks, including deception attacks and denial-of-service (DoS) attacks.
  • The approach introduced an integral sliding mode surface function and an online estimation strategy to estimate the unknown cyber attack patterns without prior knowledge.
  • A new adaptive sliding mode controller was developed to ensure the reachability of the specified sliding surface.
  • The convergence of multi-agent systems under the specified control strategy was analyzed by means of Lyapunov stability theory and the finite-time method.
  • The dynamic and static event-triggered mechanism was considered to minimize the use of communication resources, and a strict proof analysis was provided.
  • The research concluded that the validity of the theoretical findings was validated through two simulation examples.
  • Additional authors on this research include Kang Wang, Jiafeng Yu, Hak-Keung Lam, and Guangtao Ran.

Statistics:

  • The research was funded by the National Natural Science Foundation of China (NSFC) and the Natural Science Foundation of Heilongjiang Province.
  • The International Journal of Adaptive Control and Signal Processing is a peer-reviewed journal that can be contacted at Wiley, 111 River St, Hoboken 07030-5774, NJ, USA.
  • The research received support from the Natural Science Foundation of Jiangsu Province and the Fundamental Research Funds in Heilongjiang Provincial Universities.
  • Two simulation examples were used to validate the theoretical findings.

Sources:

  • "Sliding Mode Consensus Tracking Control for Multi-agent Systems Under Hybrid Cyber Attacks Based On Dynamic Event-triggered." International Journal of Adaptive Control and Signal Processing. 2025.
  • International Journal of Adaptive Control and Signal Processing. onlinelibrary.wiley.com/journal/10.1002/(ISSN)1099-1115.
  • Qiqihar University. Contact: Chunsong Han, School of Mechatronical Engineering, Qiqihar, People's Republic of China.