Impulsive Control for Nonlinear Systems Under DoS Attacks: A Dynamic Event-Triggered Method

Ai, Zidong; Zong, Guangdeng; Shi, Kaibo

doi:10.1109/tcsii.2022.3170592

Cited by 29 publications

(16 citation statements)

References 20 publications

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“…Many systems in natural can be modeled as switched systems [1][2][3][4]. Lots of results on stability analysis and control synthesis of switched systems have been obtained [5][6][7][8][9][10][11][12][13]. To mention a few, based on a new integral inequality and the piecewise Lyapunov-Krasovskii functional technique, Wang et al [14] solved the asynchronous switching problem between the system and the controller.…”

Section: Introductionmentioning

confidence: 99%

Time‐regularization event‐triggeredH∞control for switched linear systems with frequent asynchronism

Wang

2023

Asian Journal of Control

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This paper addresses the time‐regularization event‐triggered control problem for a class of continuous‐time switched systems with frequent asynchronism and external disturbances. In the system, both the system state and the switching information are transmitted to the controller only at the event‐triggered sampling instants, which may cause the occurrence of asynchronous switching behavior. To solve the problem, we first propose a time‐regularization event‐triggered mechanism, which not only avoids Zeno behavior efficaciously, but also allows the system to switch multiple times in the holding interval. Then, based on the time‐regularization event‐triggered mechanism, the error system is modeled as a sampled switched delay system with augmented switching signal. After that, sufficient conditions for the exponentially stability and weighted performance of the switched system under average dwell time are derived by constructing multiple switching Lyapunov functions. Finally, a circuit example is given to illustrate the effectiveness of the proposed method.

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Section: Introductionmentioning

confidence: 99%

Time‐regularization event‐triggeredH∞control for switched linear systems with frequent asynchronism

Wang

2023

Asian Journal of Control

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“…A dynamic event-triggered impulsive control (DETIC) to achieves asymptotic stability for a class of unstable nonlinear systems under denial-of-service (DoS) attacks. 26 Event-triggered controllers have been gradually developed for cyberphysical systems, network systems, and multiagent systems, [27][28][29][30] but so far relatively little progress on the implementation of quadrotor tracking systems. Combining with discrete-time ESO and event-triggered mechanism, He et al 31 and Shao et al 32 proposed model-free controllers with external disturbances.…”

Section: Introductionmentioning

confidence: 99%

“…2. In contrast to most studies in the field of eventtriggered control, [24][25][26][27][28][29]40 which may result in discontinuous control signals, a novel smooth eventtriggered mechanism is proposed, effectively avoiding discontinuities in the control signal and substantially reducing actuator losses while saving communication resources. Meanwhile, it is worth noting that Zone behavior is excluded by the positive sampling intervals.…”

Section: Introductionmentioning

confidence: 99%

Adaptive finite-time fault-tolerant control for Robot trajectory tracking systems under a novel smooth event-triggered mechanism

Zhu,

Wang

2023

Proceedings of the Institution of Mechanical Engineers, Part I:

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The problem of adaptive finite-time fault-tolerant control with smooth event-triggered mechanism is addressed for quadrotor trajectory tracking systems. In light of recent studies on fault-tolerant control in the field of nonlinear systems, this article focuses on quadrotor trajectory tracking systems with actuator faults and disturbances. Different from the previous works, an ingenious smooth event-triggered mechanism is proposed to circumvent the discontinuous triggered signal and alleviate the communication burden simultaneously, which is of great significance to increase the operation life of the quadrotor. Subsequently, the finite-time performance function is designed to guarantee the prescribed tracking performance. Furthermore, a novel finite-time convergent adaptive fault-tolerant controller is proposed via the time-varying barrier Lyapunov function technique. The radial basis function neural networks are utilized to deal with the nonlinear approximation, and the adaptive laws are developed to accurately estimate the unknown model uncertainty, thus effectively handling the challenge of the controller design caused by the actuator faults and disturbances. Under the developed adaptive fault-tolerant controller, all the closed-loop system signals are bounded and the tracking errors are convergent within finite time. Meanwhile, the Zone behavior can be excluded by the positive sampling intervals. Finally, two examples are employed to verify the effectiveness and advantages of the suggested control scheme.

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“…Recently, the emergence of event triggering mechanism (ETM) has provided an insightful paradigm for the information transmission. [19][20][21][22] In Reference 22, a pioneering event-triggered control scheme is introduced for systems characterized by inherent unadjusted and unstructured uncertainties. The design of this scheme significantly diminishes the communication load while concurrently simplifying computational implementation.…”

Section: Introductionmentioning

confidence: 99%

“…This characteristic aligns these conventional control strategies within the domain of time‐triggered strategies. Recently, the emergence of event triggering mechanism (ETM) has provided an insightful paradigm for the information transmission 19‐22 . In Reference 22, a pioneering event‐triggered control scheme is introduced for systems characterized by inherent unadjusted and unstructured uncertainties.…”

Section: Introductionmentioning

confidence: 99%

Event‐triggered security control for fuzzy‐model‐based cyber‐physical systems under Denial‐of‐Service attacks and actuator faults

Tan,

Gao,

Ding

et al. 2023

Intl J Robust & Nonlinear

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This article addresses the issue of event‐triggered security control for nonlinear cyber‐physical systems, characterized by Denial‐of‐Service (DoS) attacks, time‐varying delays, and actuator faults. These complexities are captured using the Takagi–Sugeno fuzzy model. Significantly, this study focuses on DoS attacks targeting the controller‐to‐actuator channel, and subsequently introduces a model for actuator faults that considers the prolonged utilization or degradation of component parts. To optimize communication resource allocation, a model‐independent event‐triggered mechanism is proposed. Utilizing the Lyapunov–Krasovskii function approach, the objective of achieving stochastic stability is transformed into a linear matrix inequalities problem, thus deriving a set of sufficient conditions. The efficiency and validity of the proposed algorithms is demonstrated through simulation results.

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Impulsive Control for Nonlinear Systems Under DoS Attacks: A Dynamic Event-Triggered Method

Cited by 29 publications

References 20 publications

Time‐regularization event‐triggeredH∞control for switched linear systems with frequent asynchronism

Time‐regularization event‐triggeredH∞control for switched linear systems with frequent asynchronism

Adaptive finite-time fault-tolerant control for Robot trajectory tracking systems under a novel smooth event-triggered mechanism

Event‐triggered security control for fuzzy‐model‐based cyber‐physical systems under Denial‐of‐Service attacks and actuator faults

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