Event-Triggered-Based Adaptive Fuzzy Finite-Time Resilient Output Feedback Control for MIMO Stochastic Nonlinear System Subject to Deception Attacks

In this article, the event-triggered-based adaptive finite-time resilient control problem is investigated for the uncertain multiple inputs and multiple outputs (MIMO) nonlinear stochastic system with unknown sensor deception attacks. Firstly, based on the compromised output signals and the FLSs, a...

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Published inIEEE transactions on fuzzy systems Vol. 32; no. 11; pp. 6534 - 6547
Main Authors Zhao, Jipeng, Yang, Guang-Hong
Format Journal Article
LanguageEnglish
Published IEEE 01.11.2024
Subjects
Adaptive resilient control
Adaptive systems
Backstepping
Control systems
event-triggered control
fuzzy state observer
multiple inputs and multiple outputs (MIMO) nonlinear stochastic systems
Nonlinear systems
Observers
Output feedback
Stochastic systems
unknown deception attacks
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Abstract In this article, the event-triggered-based adaptive finite-time resilient control problem is investigated for the uncertain multiple inputs and multiple outputs (MIMO) nonlinear stochastic system with unknown sensor deception attacks. Firstly, based on the compromised output signals and the FLSs, a new fuzzy state observer is constructed to estimate the unmeasured states. Then, the Nussbaum gain technique is utilized to address the issue of unknown control coefficients that arise due to unknown deception attacks. Furthermore, by combining the event-triggered control and backstepping recursive control principle, a novel event-triggered based finite-time resilient fuzzy adaptive output feedback control scheme is developed involving the attacked and estimated state variables. The results of the developed output feedback control show that all the signals of the overall system are semiglobal finite-time stability in probability. Contrary to the current state feedback resilient control results, the designed resilient control scheme not only handles the output feedback control problem, but also eliminates the assumption that the attack weight sign is positive. In addition, the growing assumptions of coexistence unknown nonlinear uncertainties are removed. Ultimately, a simulation example is used to illustrate the feasibility and the rationality of the designed controller.
AbstractList In this article, the event-triggered-based adaptive finite-time resilient control problem is investigated for the uncertain multiple inputs and multiple outputs (MIMO) nonlinear stochastic system with unknown sensor deception attacks. Firstly, based on the compromised output signals and the FLSs, a new fuzzy state observer is constructed to estimate the unmeasured states. Then, the Nussbaum gain technique is utilized to address the issue of unknown control coefficients that arise due to unknown deception attacks. Furthermore, by combining the event-triggered control and backstepping recursive control principle, a novel event-triggered based finite-time resilient fuzzy adaptive output feedback control scheme is developed involving the attacked and estimated state variables. The results of the developed output feedback control show that all the signals of the overall system are semiglobal finite-time stability in probability. Contrary to the current state feedback resilient control results, the designed resilient control scheme not only handles the output feedback control problem, but also eliminates the assumption that the attack weight sign is positive. In addition, the growing assumptions of coexistence unknown nonlinear uncertainties are removed. Ultimately, a simulation example is used to illustrate the feasibility and the rationality of the designed controller.
Author Yang, Guang-Hong
Zhao, Jipeng
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Snippet In this article, the event-triggered-based adaptive finite-time resilient control problem is investigated for the uncertain multiple inputs and multiple...
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SubjectTerms Adaptive resilient control
Adaptive systems
Backstepping
Control systems
event-triggered control
fuzzy state observer
multiple inputs and multiple outputs (MIMO) nonlinear stochastic systems
Nonlinear systems
Observers
Output feedback
Stochastic systems
unknown deception attacks
Title Event-Triggered-Based Adaptive Fuzzy Finite-Time Resilient Output Feedback Control for MIMO Stochastic Nonlinear System Subject to Deception Attacks
URI https://ieeexplore.ieee.org/document/10660299
Volume 32
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