Secure Filter Design of Fuzzy Switched CPSs With Mismatched Modes and Application: A Multidomain Event-Triggered Strategy

Chen, Haiyang; Zong, Guangdeng; Zhao, Xudong; Gao, Fangzheng; Shi, Kaibo

doi:10.1109/tii.2022.3232768

Cited by 141 publications

(39 citation statements)

References 31 publications

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“…A dynamic ETS distinguishes itself from a traditional ETS by incorporating an additional internal variable of its own dynamics. Unlike the traditional scheme [32][33][34], which relies solely on available system information (such as state or output) to triggering mechanism, the dynamic scheme takes into account both the system information and the additional dynamic variable. Hence, this triggering mechanism of the dynamic ETS is dynamically adjusted at different times [13,14,35].…”

Section: Control Designmentioning

confidence: 99%

Resilient annular finite‐time synchronization for master‐slave systems under scaling attacks

Murugesan,

Ishizaki,

Liu

2023

IET Control Theory & Appl

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This paper investigates the resilient annular finite‐time synchronization and boundedness problems for master‐slave systems under dynamic event‐triggered scheme (ETS), actuator faults, and scaling attacks. A comprehensive model for characterizing scaling attacks is presented. The switched dynamic ETS is developed to reduce the bandwidth pressure. Two different internal variables are designed, each of which changes based on the switching manifold. Simultaneously, the resilient problem of switched master‐slave systems with respect to stochastic scaling attacks is considered, where there are limited malicious signals introduced by the adversary. Based on the Lyapunov‐like function involving the different internal dynamic variables, a set of criteria is established in the form of linear matrix inequalities (LMIs), which guarantee the annular finite‐time boundedness. Finally, two examples are presented to verify the theoretical findings.

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Section: Control Designmentioning

confidence: 99%

Resilient annular finite‐time synchronization for master‐slave systems under scaling attacks

Murugesan,

Ishizaki,

Liu

2023

IET Control Theory & Appl

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“…Since the occurrence time and magnitude of the faults cannot be predicted accurately, it may generate actuator faults and sensor faults. Hence, it is imperative to design an effective FTC strategy such that the system can work normally in the presence of faults 7‐9 . In Reference 10, a sliding mode‐based passive FTC strategy was developed to compensate the actuator faults for nonlinear system with uncertain disturbances.…”

Section: Introductionmentioning

confidence: 99%

Observer‐based adaptive neural fault‐tolerant control for nonlinear systems with prescribed performance and input dead‐zone

Wang,

Zong,

Yang

et al. 2023

Intl J Robust & Nonlinear

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This article investigates the adaptive fault‐tolerant tracking control problem for nonlinear systems with prescribed performance and input dead‐zone. First, a new composite variable is constructed by using the characteristics of actuator fault and input dead‐zone for the modeling purpose. Second, an adaptive neural network observer is designed to estimate the system states in the presence of inaccurate feedback information. Third, the proposed control strategy effectively counteracts the effects of sensor failure and unknown nonlinear functions, which makes the tracking error confined within the performance boundary and all the signals of the closed‐loop system semi‐globally uniformly ultimately bounded. Finally, an application oriented example is provided to demonstrate the effectiveness of the proposed control algorithm.

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“…The emergence of large multi-task systems, switching systems have more and more meaningful in practical requirements. 1,2 MJSs are random switching systems which can model real physical object with multiple modes characteristics.…”

Section: Introductionmentioning

confidence: 99%

Finite‐time composite control for fuzzy delayed semi‐Markovian jump systems with multiple disturbances and uncertainty

Zhu

et al. 2023

Adaptive Control & Signal

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Summary This article is concerned with the issue of finite‐time analysis for fuzzy semi‐Markovian jump systems (S‐MJSs) with multiple disturbances. Takagi–Sugeno fuzzy method is applied to address the nonlinear problem of closed‐loop systems. Unlike the existing research, delay, multiple disturbances, generally uncertain transition rate, uncertain parameters are all analyzed in a unify S‐MJSs framework. The aim of this study is to construct a composite control strategy for stable operation of S‐MJSs with multiple disturbances on the basis of the actual system requirements. For S‐MJSs, conservatism of analysis method and uncertainty of actual system are both the significant problems need to be solved urgently. First, the sufficient condition of S‐MJSs is obtained to guarantee the finite‐time stable performance through mathematical analysis and matrix inequality derivation. Second, disturbance observer based control and H∞$$ {H}_{\infty } $$ control are combined to deal with the effects of multiple disturbances which contain incomplete information disturbance and norm bounded disturbance. Third, fuzzy controller is designed to satisfy close‐loop systems finite‐time performance. Finally, the actual nonlinear example is presented to verify the accuracy of the approach.

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Secure Filter Design of Fuzzy Switched CPSs With Mismatched Modes and Application: A Multidomain Event-Triggered Strategy

Cited by 141 publications

References 31 publications

Resilient annular finite‐time synchronization for master‐slave systems under scaling attacks

Resilient annular finite‐time synchronization for master‐slave systems under scaling attacks

Observer‐based adaptive neural fault‐tolerant control for nonlinear systems with prescribed performance and input dead‐zone

Finite‐time composite control for fuzzy delayed semi‐Markovian jump systems with multiple disturbances and uncertainty

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