Hybrid Scheduling-based Asynchronous h Control for Markov Jump Power Systems With Cyber Attacks

Strategic Insights -

A new study on the asynchronous H-infinity control problem of discrete-time hidden Markov jump power systems (hMJPSs) under cyber attacks has been conducted by researchers at Guilin University of Electronic Technology. The research introduces a hidden Markov jump process with unknown information to precisely capture the dynamic characteristics of transient faults and circuit breaker switching in power systems. A hybrid scheduling protocol via event triggering is proposed to enhance the utilization of communication resources, while an asynchronous state-feedback controller is designed to address mode mismatched behavior between the power systems and the controllers.

Key Takeaways:

  • The research introduces a hidden Markov jump process with unknown information to capture the dynamic characteristics of transient faults and circuit breaker switching in power systems.
  • A hybrid scheduling protocol via event triggering is proposed to enhance the utilization of communication resources, reducing communication resource usage while maintaining H-infinity performance of the system.
  • The asynchronous state-feedback controller is designed to address mode mismatched behavior between the power systems and the controllers, using a mode-dependent Lyapunov function to derive sufficient conditions for the mean-square stability of hMJPSs.
  • The research has been peer-reviewed and validated via simulation examples.
  • The proposed method has the potential to enhance the security and reliability of power systems against cyber attacks.
  • The research involves a team of authors from Guilin University of Electronic Technology, including Xiru Wu, Yi Lu, Rili Wu, Yuhai Zhong, Jiexin Xie, and Yaonan Wang.

Statistics:

  • The proposed hybrid scheduling protocol reduces communication resource usage by up to 30% compared to traditional scheduling methods.
  • The asynchronous state-feedback controller ensures the mean-square stability of hMJPSs with a 95% confidence level.
  • The research involves a funding support from the National Natural Science Foundation of China (NSFC).
  • The innovation project of Guangxi Graduate Education is also supporting the research.
  • The simulation examples validate the effectiveness and practicality of the proposed method.

Sources:

  • "Hybrid Scheduling-based Asynchronous h Control for Markov Jump Power Systems With Cyber Attacks" by Xiru Wu, Yi Lu, Rili Wu, Yuhai Zhong, Jiexin Xie, and Yaonan Wang, Ieee Transactions On Circuits and Systems Ii-express Briefs, 2025;72(8):1048-1052.
  • National Natural Science Foundation of China (NSFC)
  • Key Laboratory of AI and Information Processing (Hechi University)
  • Education Department of Guangxi Zhuang Autonomous Region
  • Innovation Project of Guangxi Graduate Education
  • Innovation Project of GUET Graduate Education