Event-triggered control for discrete-time delay systems

Zhang, Kexue; Braverman, Elena; Gharesifard, Bahman

doi:10.1016/j.automatica.2022.110688

Cited by 11 publications

(2 citation statements)

References 43 publications

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“…When the sampling signal of a sensor does not meet event-triggered threshold conditions ( 10) and ( 11), it will be transferred to the actuator by the network. If event-triggered threshold condition (10) or ( 11) is satisfied, it will be actively discarded. Therefore, the DETM can further degrade the transmission of signals in the network and reduce the occupation of network resources, thereby decreasing the network transmission delay in the network.…”

Section: Sensormentioning

confidence: 99%

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Dual Event-Triggered Controller Co-Design for Networked Control Systems with Network-Induced Delays

Zhou,

Wang,

Zhang

et al. 2023

Electronics

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To address the presence of network-induced delays in networked control systems (NCSs), a dual event-triggered mechanism (DETM) is used to investigate the problem of reducing network delays and controller co-design. Firstly, the DETM of the sensor–controller (SC) and the controller–actuator (CA) is adopted. By determining whether the sampled data meet the event-triggered threshold conditions for network transmission, we effectively reduce the sampled data transmitted over the network, which can reduce a network delay by reducing occupation of the network resources. Secondly, a dual event-triggered NCS model with a network-induced delay is developed, and a Lyapunov function including a DETM and network-induced delay is chosen. The functional upper limit of the Lyapunov function is estimated by combining the Wirtinger’s-based integral inequality with the reciprocally convex approach. This results in a stability criterion for systems with low conservativeness and a controller co-design method for a DETM. Finally, the availability of this method was verified through a numerical example and case study.

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Section: Sensormentioning

confidence: 99%

“…Recently, a novel ETM appeared in the literature [10][11][12], which is different from the classic time-triggered scheme. It can greatly decrease the operating ratio of network bandwidth resources.…”

Section: Introductionmentioning

confidence: 99%

Dual Event-Triggered Controller Co-Design for Networked Control Systems with Network-Induced Delays

Zhou,

Wang,

Zhang

et al. 2023

Electronics

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Output Feedback Control for T‐S Fuzzy Markov Jump Systems Subjected to Parameter‐Dependent Dissipative Performance

Wang,

Dong

2024

Intl J Robust & Nonlinear

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This article is committed to the matter of asynchronous dynamic output feedback control for a class of Takagi–Sugeno fuzzy Markov jump systems. The principal concept is to construct a high‐level Markovian process governed controller under an asynchronous event‐triggered scheme and to develop a time‐varying dissipative index. As a salient feature that distinguishes it from the reported works with the common index, this paper firstly proposes a dissipative index with mode and membership functions‐dependence. Secondly, governed by the high‐level Markovian process, the asynchronous dynamic output feedback controller is constructed under the mode‐dependent partitioned regions. Meanwhile, to mitigate the communication pressure, an asynchronous dynamic event‐triggered mechanism is investigated with making allowances for the inaccessible system mode. What's more, as a first effort, this article presents a unified framework for co‐designing the strategy of asynchronous event generators and controllers. This is done under the proposed performance index and the mode‐dependent fuzzy state‐space partitions, resulting in more design flexibility. Based on the mode and region‐dependent Lyapunov functional, sufficient criteria are obtained to ensure the proposed dissipative performance and stochastic stability. Eventually, the practicabilities and advantages of the theoretic results are illustrated by a modified tunnel diode circuit model.

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Dynamic Event‐Triggered Output‐Feedback Control for Large‐Scale Feedforward Nonlinear Discrete‐Time Impulsive Systems

Fan,

Zhang,

et al. 2024

Intl J Robust & Nonlinear

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This article addresses the dynamic event‐triggered output‐feedback control problem for a class of large‐scale feedforward nonlinear discrete‐time impulsive systems. The investigated systems are allowed to contain impulse effects, discrete‐time dynamics, and large‐scale coupled characteristics, which brings substantial difficulties to the event‐triggered control. It is worth noting that this scenario has not been considered in the existing works. For that, a novel dynamic event‐triggered output‐feedback control strategy is proposed in this article. Specifically, we apply a gain scaling approach to cope with system uncertainties and employ an average impulsive interval technique to suppress the undesirable impulse effects. Then, a novel low‐gain discrete‐time impulsive observer is constructed to estimate the unmeasurable system states. After that, a dynamic event‐triggered output‐feedback controller, which has a concise linear‐like form, is delicately designed to ensure that all the signals of the resulting closed‐loop system are globally bounded, and the system states converge to the origin. Moreover, by enhancing the gain scaling mechanism, we further develop an improved output‐feedback control strategy to counteract stronger nonlinearities. Finally, the effectiveness of the proposed control strategy is demonstrated by a practical simulation example.

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Event-triggered control for discrete-time delay systems

Cited by 11 publications

References 43 publications

Dual Event-Triggered Controller Co-Design for Networked Control Systems with Network-Induced Delays

Dual Event-Triggered Controller Co-Design for Networked Control Systems with Network-Induced Delays

Output Feedback Control for T‐S Fuzzy Markov Jump Systems Subjected to Parameter‐Dependent Dissipative Performance

Dynamic Event‐Triggered Output‐Feedback Control for Large‐Scale Feedforward Nonlinear Discrete‐Time Impulsive Systems

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