Adaptive Sliding Mode Security Control for Stochastic Markov Jump Cyber-Physical Nonlinear Systems subject to Actuator Failures and Randomly Occurring Injection Attacks

Zhen Liu, Xinkai Chen

Research output: Contribution to journalArticlepeer-review

Abstract

This paper investigates the issue of security control for stochastic Markov jump cyber-physical systems (SMJCPS) against actuator failures (AF), randomly occurring injection attacks (ROIA) and inaccessible states by virtue of state estimator-based adaptive sliding mode control (SMC) strategy. The knowledge of the states is generated with an estimator not requesting any inputs information, from which a novel switching surface of linear-type (SSL) is established. Then, an adaptive SMC input is developed to ensure the attainability of the SSL in limited steps almost surely under stochastic noise, unknown ROIA and potential AF. In the light of the arrival of the SSL and stochastic stability theory, a new stochastically stable criterion for the target SMJCPS operating on the defined SSL is deducted in the occurrence of AF, ROIA and more generally uncertain transition rates. At last, a simulation study is performed, in which the raised control scheme is realized and certified by a tunnel diode (TD) circuit model.

Original languageEnglish
Pages (from-to)1-10
Number of pages10
JournalIEEE Transactions on Industrial Informatics
DOIs
Publication statusAccepted/In press - 2022

Keywords

  • actuator failures
  • Actuators
  • Integrated circuit modeling
  • Markov processes
  • ROIA
  • Security
  • security control
  • sliding mode control
  • Sliding mode control
  • state estimator
  • Stochastic Markov jump cyber-physical systems
  • Switches
  • Symmetric matrices
  • TD circuit

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Information Systems
  • Computer Science Applications
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Adaptive Sliding Mode Security Control for Stochastic Markov Jump Cyber-Physical Nonlinear Systems subject to Actuator Failures and Randomly Occurring Injection Attacks'. Together they form a unique fingerprint.

Cite this