Sliding mode control for fuzzy networked semi-Markov switching models under cyber attacks

Wenhai Qi, Caiyu Lv, Guangdeng Zong, Choon Ki Ahn

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Sliding mode control (SMC) is investigated for nonlinear networked stochastic switching systems subject to semi-Markov parameters, in which the model is formulated based on the Takagi-Sugeno (T-S) fuzzy strategy. The occurrences of actuator failures and deception attacks are considered within the framework of networked semi-Markov switching systems. A common sliding surface is designed to prevent instability caused by repeated jumps. Based on the generally uncertain transition rate, sufficient conditions for stochastic stability of the corresponding system are presented. Moreover, in the consideration of actuator failures and deception attacks, the feasibility of the SMC law drives the states toward the specified sliding region. The presented single link robot arm model demonstrates the effectiveness of the theoretical findings.

Original languageEnglish
JournalIEEE Transactions on Circuits and Systems II: Express Briefs
DOIs
Publication statusAccepted/In press - 2021

Keywords

  • actuator failures.
  • Actuators
  • Circuits and systems
  • Deception attacks
  • Networked control systems
  • Power system stability
  • Stability criteria
  • Switching systems
  • uncertain transition rates
  • Uncertainty

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Sliding mode control for fuzzy networked semi-Markov switching models under cyber attacks'. Together they form a unique fingerprint.

Cite this