H∞ filtering for networked systems with hybrid-triggered communication mechanism and stochastic cyber attacks

Liu, Jinliang; Lili, Walim; Tian, Engang; Fei, Shumin; Cao, Jie

doi:10.1016/j.jfranklin.2017.10.007

Cited by 49 publications

(15 citation statements)

References 36 publications

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“…Such a strategy has been applied to some control systems. [42][43][44][45][46] Up to now, no efforts are devoted to the random event-triggered filter of positive systems, not mentioned hybrid positive systems. Theorems 1 and 2 attempt to construct a novel random event-triggered filter for positive semi-Markovian jump systems in terms of a linear approach.…”

Section: ŷ(T) = 𝜎(T)(c I D(x(t)) + D I 𝜔(T)) + (1 − 𝜎(T))y(t)mentioning

confidence: 99%

Hybrid gain performance‐based random event‐triggered filter of positive semi‐Markovian jump systems with intermittent sensor faults

Zhang

Zheng

2021

Intl J Robust & Nonlinear

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This article proposes a new random event-triggering scheme to design filter of positive semi-Markovian jump systems with intermittent sensor faults. To obtain a balance of saving network resources and improving system performance, a random event-triggering mechanism consisting of time-and event-triggering modes is constructed. A Bernoulli distribution-based stochastic variable is introduced to orchestrate the switching of two triggering modes. A concept of hybrid gain performance is presented to guarantee that the filter can attenuate the affect from the disturbance and sensor faults. Then, a random event-triggered filter is designed for positive semi-Markovian jump systems subject to intermittent sensor faults. Under the designed filter, hybrid gain performance is achieved. Furthermore, the proposed approach is extended to the systems with stochastically incorrect sensor measurement. A linear programming method is employed for describing and computing the presented conditions. Finally, the validity of the results is verified via two examples.

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Section: ŷ(T) = 𝜎(T)(c I D(x(t)) + D I 𝜔(T)) + (1 − 𝜎(T))y(t)mentioning

confidence: 99%

Hybrid gain performance‐based random event‐triggered filter of positive semi‐Markovian jump systems with intermittent sensor faults

Zhang

Zheng

2021

Intl J Robust & Nonlinear

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“…The adaptive control problem for nonlinear systems under injection and deception attacks is studied in Reference 19. The problem of

{H}_{\infty }

filter design is investigated for a class of discrete networked systems suffering deception attacks and DoS attacks in Reference 20. To our knowledge, the adaptive control problem for NISs with intermittent DoS and injection attacks has not been investigated yet, which is still a challenging problem.…”

Section: Introductionmentioning

confidence: 99%

NN‐based decentralized adaptive event‐triggered control for nonlinear interconnected systems under intermittent DoS and injection attacks

Cui

Sun

Hou

2022

Adaptive Control & Signal

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Summary This article investigates the problem of decentralized adaptive neural network event‐triggered control of strict feedback nonlinear interconnected systems suffering injection attacks and intermittent denial‐of‐service (DoS) attacks. When DoS attacks occur, the sensor‐controller communication channel is jammed. This may result in system states and traditional backstepping methods are unavailable. A novel switching‐type state observer is constructed to overcome the aforementioned challenges. When the injection attacks occur, the input signals of the controller‐actuator communication channel are changed. A decentralized adaptive event‐triggered controller is designed by using the backstepping method, where a first‐order sliding mode differentiator is introduced to avoid “computational explosion.” The observer gain is derived via the linear matrix inequality technique simultaneously. By using an improved average dwell time method and Lyapunov function theory, all closed‐loop signals are bounded. Finally, a numerical example is used to verify the effectiveness of the proposed control scheme.

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“…Nonlinear systems with T-S fuzzy model-based stochastic cyber-attacks with hybrid-triggered control is considered in [46]- [47]. Recently, some results on the filtering, control, stability analysis of NCSs subject to DoS attacks have recently been published [49].…”

Section: Introductionmentioning

confidence: 99%

Adaptive event-triggered control for Markov jump systems under hybrid cyber-attacks and its application

Ali

Rajchakit

et al. 2022

Preprint

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This article investigates event-triggered control (ETC) of discrete-time Markov jump systems (MJSs) subject to hybrid cyber-attacks and unmeasured states. To reduce data transmission load, a mode-dependent event-triggered mechanism (ETM) has been developed. The unmeasured states are estimated using a Luenberger observer. Here deception attacks and DoS attacks are addressed. It is anticipated that input control signals sent across a network are vulnerable to cyber-attacks, in which adversaries could inject fake data into the control signals. So to secure the closed-loop system, sufficient conditions are derived. The solution of set matrix inequalities is used to build observer and controller gains. Finally, inverted pendulum applications are presented to illustrate the effectiveness and feasibility of the obtained theoretical results.

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H∞ filtering for networked systems with hybrid-triggered communication mechanism and stochastic cyber attacks

Cited by 49 publications

References 36 publications

Hybrid gain performance‐based random event‐triggered filter of positive semi‐Markovian jump systems with intermittent sensor faults

Hybrid gain performance‐based random event‐triggered filter of positive semi‐Markovian jump systems with intermittent sensor faults

NN‐based decentralized adaptive event‐triggered control for nonlinear interconnected systems under intermittent DoS and injection attacks

Adaptive event-triggered control for Markov jump systems under hybrid cyber-attacks and its application

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