Resilient Event-Triggered Control for Networked Cascade Control Systems Under Denial-of-Service Attacks and Actuator Saturation

Ning Zhao, Peng Shi, Wen Xing, Ramesh K. Agarwal

Research output: Contribution to journalArticlepeer-review

38 Scopus citations

Abstract

This article addresses the issues of exponential stabilization and L2-gain analysis for networked cascade control systems with aperiodic denial-of-service (DoS) jamming attacks, time delay, actuator saturation, and external disturbances. A resilient event-triggered communication mechanism based on the adaptive threshold technique is proposed to reduce transmission frequency and combat aperiodic DoS attacks. An event-driven cascade control strategy is developed to schedule control process updates and strengthen resistance to DoS attacks. Then, the system is modeled as a switched system closely related to the bounds of DoS frequency and duration. By using Lyapunov stability theory, conditions for the resultant system to be exponentially stable with a desired L2-gain performance level are established. A solution to the joint-design problem of controller gains and event-triggered parameters is also provided. A gas-turbine system of a power plant is employed to illustrate the effectiveness of the proposed approach.

Original languageEnglish
Pages (from-to)1114-1122
Number of pages9
JournalIEEE Systems Journal
Volume16
Issue number1
DOIs
StatePublished - Mar 1 2022

Keywords

  • Adaptive event-triggered mechanism
  • Aperiodic denial-of-service (DoS) jamming attacks
  • Exponential stabilization and L2-gain analysis
  • Networked cascade control systems

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