Adaptive Resilient Control for Cyber-Physical Systems Under Cyberattack and Input Saturation

This article investigates the resilient control problem for nonlinear cyber-physical systems with hybrid cyberattacks and physical constraints, including aperiodic denial-of-service attacks, deception attacks, input saturation, and external disturbances. The underlying system is described by the fuz...

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Published inIEEE transactions on industrial informatics Vol. 19; no. 5; pp. 6513 - 6524
Main Authors Lian, Zhi, Shi, Peng, Lim, Cheng-Chew
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 01.05.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Adaptive control
Adaptive event-triggered control
Adaptive systems
Antiwindup compensators
Control methods
Cyber-physical systems
cyber-physical systems (CPSs)
Cyberattack
Denial of service attacks
Fuzzy control
hybrid cyberattacks
Hybrid systems
input saturation
Linear systems
Nonlinear control
Nonlinear systems
Output feedback
Resilience
Symmetric matrices
Takagi-Sugeno model
Uncertainty
Windup
Wireless networks
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Abstract This article investigates the resilient control problem for nonlinear cyber-physical systems with hybrid cyberattacks and physical constraints, including aperiodic denial-of-service attacks, deception attacks, input saturation, and external disturbances. The underlying system is described by the fuzzy model by decomposing the nonlinear plant into some local linear subsystems. An input saturating integrator and an antiwindup compensator are introduced inside a dynamic output feedback fuzzy controller to handle the input saturation in both amplitude and rate. Within the resulting fuzzy-model-based control framework, a novel adaptive event-triggered-based resilient control method is proposed to ensure that the insecure and imperfect system is stochastically stable with an <inline-formula><tex-math notation="LaTeX">H_\infty</tex-math></inline-formula> performance level. Simulation results of an autonomous vehicle operating in a wireless network environment are provided to verify the effectiveness of the proposed control method.
AbstractList This article investigates the resilient control problem for nonlinear cyber-physical systems with hybrid cyberattacks and physical constraints, including aperiodic denial-of-service attacks, deception attacks, input saturation, and external disturbances. The underlying system is described by the fuzzy model by decomposing the nonlinear plant into some local linear subsystems. An input saturating integrator and an antiwindup compensator are introduced inside a dynamic output feedback fuzzy controller to handle the input saturation in both amplitude and rate. Within the resulting fuzzy-model-based control framework, a novel adaptive event-triggered-based resilient control method is proposed to ensure that the insecure and imperfect system is stochastically stable with an [Formula Omitted] performance level. Simulation results of an autonomous vehicle operating in a wireless network environment are provided to verify the effectiveness of the proposed control method.
This article investigates the resilient control problem for nonlinear cyber-physical systems with hybrid cyberattacks and physical constraints, including aperiodic denial-of-service attacks, deception attacks, input saturation, and external disturbances. The underlying system is described by the fuzzy model by decomposing the nonlinear plant into some local linear subsystems. An input saturating integrator and an antiwindup compensator are introduced inside a dynamic output feedback fuzzy controller to handle the input saturation in both amplitude and rate. Within the resulting fuzzy-model-based control framework, a novel adaptive event-triggered-based resilient control method is proposed to ensure that the insecure and imperfect system is stochastically stable with an <inline-formula><tex-math notation="LaTeX">H_\infty</tex-math></inline-formula> performance level. Simulation results of an autonomous vehicle operating in a wireless network environment are provided to verify the effectiveness of the proposed control method.
Author Shi, Peng
Lian, Zhi
Lim, Cheng-Chew
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crossref_primary_10_1016_j_jfranklin_2023_10_040
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SubjectTerms Adaptive control
Adaptive event-triggered control
Adaptive systems
Antiwindup compensators
Control methods
Cyber-physical systems
cyber-physical systems (CPSs)
Cyberattack
Denial of service attacks
Fuzzy control
hybrid cyberattacks
Hybrid systems
input saturation
Linear systems
Nonlinear control
Nonlinear systems
Output feedback
Resilience
Symmetric matrices
Takagi-Sugeno model
Uncertainty
Windup
Wireless networks
Title Adaptive Resilient Control for Cyber-Physical Systems Under Cyberattack and Input Saturation
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