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Adaptive Event-triggered H2/H∞ Control for Uncertain Networked Systems With Hybrid Cyber Attacks and Imperfect Network.

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Bibliographic Details
Title: Adaptive Event-triggered H2/H∞ Control for Uncertain Networked Systems With Hybrid Cyber Attacks and Imperfect Network.
Authors: Wei, Na, Tang, Xiaoming, Xia, Zidi
Source: International Journal of Control, Automation & Systems; Aug2023, Vol. 21 Issue 8, p2504-2515, 12p
Abstract: This article studies an adaptive event-triggered H2/H∞ control problem for the uncertain networked control systems (NCSs) with hybrid cyber attacks and imperfect network represented by the Takagi-Sugeno (T-S) fuzzy model. An improved adaptive event-triggered (AET) mechanism with two adaptive laws is proposed to save limited communication resources while as maintaining good system performance as possible. In addition, a new hybrid cyber attacks model including replay and deception attacks is described by two stochastic variables with Bernoulli distribution. Based on the Lyapunov–Krasovskii functional theory, a sufficient condition for the asymptotic stability of the closed-loop system is derived. Meanwhile, a fuzzy dynamic output feedback controller satisfying H2/H∞ performance is designed by applying the stability condition. Finally, a simulation of continuous stirred tank reactor (CSTR) system is carried out to verify the effectiveness of the provided method. [ABSTRACT FROM AUTHOR]
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Database: Complementary Index
Description
Abstract:This article studies an adaptive event-triggered H<subscript>2</subscript>/H<subscript>∞</subscript> control problem for the uncertain networked control systems (NCSs) with hybrid cyber attacks and imperfect network represented by the Takagi-Sugeno (T-S) fuzzy model. An improved adaptive event-triggered (AET) mechanism with two adaptive laws is proposed to save limited communication resources while as maintaining good system performance as possible. In addition, a new hybrid cyber attacks model including replay and deception attacks is described by two stochastic variables with Bernoulli distribution. Based on the Lyapunov–Krasovskii functional theory, a sufficient condition for the asymptotic stability of the closed-loop system is derived. Meanwhile, a fuzzy dynamic output feedback controller satisfying H<subscript>2</subscript>/H<subscript>∞</subscript> performance is designed by applying the stability condition. Finally, a simulation of continuous stirred tank reactor (CSTR) system is carried out to verify the effectiveness of the provided method. [ABSTRACT FROM AUTHOR]
ISSN:15986446
DOI:10.1007/s12555-021-1053-5