Memory‐event‐trigger‐based output tracking control for networked switched interval type‐2 fuzzy systems against deception attacks

Gao, Hui; Shi, Kaibo; Zhou, Kun; Wang, Yueying; Zheng, Qunxian

doi:10.1002/rnc.6578

Cited by 9 publications

(3 citation statements)

References 44 publications

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“…The area of event-triggered mechanism (ETM) has recently garnered significant attention and interest, which can efficiently reduce information transmission costs while maintaining satisfactory performance compared to the conventional time-based methods [33][34][35][36][37][38]. The application of ETM in NMASs has made certain progress up to the present.…”

Section: Introductionmentioning

confidence: 99%

Cloud-based event-triggered leader-follower quasi-bipartite consensus of stochastic multi-agent systems under mixed attacks

Tan,

Han,

2024

Preprint

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This paper addresses the problem of leader-follower quasi-bipartite consensus (LFQBC) over the finite-horizon for discrete-time time-varying networked multi-agent systems (NMASs). The NMASs undergo stochastic nonlinearities and randomly occurring mixed attacks (ROMAs), where the false data injection attacks (FDIAs) and denial-of-service attacks (DoSAs) are addressed. A time-varying output feedback controller is proposed in the framework of the signed digraph. Moreover, in order to save transmission resources and reduce computational burden, the controller is deployed in the cloud, and also an event-triggered mechanism (ETM) is designed between the controller and the actuators. The transient characteristics of consensus behavior in NMASs with both cooperative and antagonistic interactions are demonstrated by establishing a sufficient condition of the LFQBC, based on the utilization of recursive linear matrix inequality and stochastic analysis. In addition, a convex optimization algorithm is proposed to ensure locally optimal LFQBC. The proposed approach is shown to be effective by using a numerical example.

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Section: Introductionmentioning

confidence: 99%

Cloud-based event-triggered leader-follower quasi-bipartite consensus of stochastic multi-agent systems under mixed attacks

Tan,

Han,

2024

Preprint

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“…Tracking control has a wide range of applications in practical systems. [25][26][27] Its focus is to select a suitable control law to force outputs to asymptotically track reference signals. Preview control can utilize known future targets or information to improve system performance, which enable the system to track target signals without error.…”

Section: Introductionmentioning

confidence: 99%

“…Tracking control has a wide range of applications in practical systems 25–27 . Its focus is to select a suitable control law to force outputs to asymptotically track reference signals.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy sliding mode tracking control of discrete‐time nonlinear interconnected systems via a previewable approach

Qin,

Ren

2024

Adaptive Control & Signal

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SummaryThis article investigates the fuzzy sliding mode tracking problem for discrete‐time nonlinear interconnected systems (ICSs) via a previewable information approach. First, an augmented system containing tracking errors and previewable reference and disturbance signals is established for discrete‐time nonlinear ICSs according to a previewable length. Second, novel sliding surfaces are given and some sufficient conditions of making the sliding motion asymptotically stable are derived in term of linear matrix inequalities (LMIs). Next, fuzzy sliding mode control (SMC) laws are designed so that the controlled system can reach the sliding surfaces and keep on them thereafter, and compared to not having previewable signals, these designed control laws can also enable system outputs to better track the reference signals asymptotically. Finally, a simulation example is given to demonstrate the effectiveness of the proposed control law.

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Event‐triggered tracking control for networked control systems under diversified attacks

Cao,

Yang,

Dai

et al. 2024

Intl J Robust & Nonlinear

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This paper mainly concerns on the tracking control problem for event‐triggered networked control systems (NCSs) with diversified cyber‐attacks. An event‐triggered mechanism (ETM) is exploited to decrease the amount of redundant transmissions, thus saving communication resources. In addition, a novel tracking error model for NCSs is built with consideration of ETM and diversified cyber‐attacks, which involves deception attacks and Denial‐of‐Service (DoS) attacks. On the basis of Lyapunov stability theory and linear matrix inequalities (LMIs), the stability criterion of the tracking error system is constructed, and the controller is designed to ensure the tracking performance of the system. In the end, simulation examples are provided to testify the validity of the proposed method.

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Memory‐event‐trigger‐based output tracking control for networked switched interval type‐2 fuzzy systems against deception attacks

Cited by 9 publications

References 44 publications

Cloud-based event-triggered leader-follower quasi-bipartite consensus of stochastic multi-agent systems under mixed attacks

Cloud-based event-triggered leader-follower quasi-bipartite consensus of stochastic multi-agent systems under mixed attacks

Fuzzy sliding mode tracking control of discrete‐time nonlinear interconnected systems via a previewable approach

Event‐triggered tracking control for networked control systems under diversified attacks

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