Event-Triggering Load Frequency Control for Multiarea Power Systems With Communication Delays

Wen, Shiping; Yu, Xinghuo; Zeng, Zhigang; Wang, Jinjian

doi:10.1109/tie.2015.2399394

Cited by 320 publications

(125 citation statements)

References 42 publications

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“…Up to now, a growing number of works have been devoted to this topic [23]. To mention a few, to reduce communication burdens, Wen et al used an event-triggered control method to study the load frequency control for multiarea power systems in [30]; a discrete event-triggered scheme was proposed to investigate the H ∞ controller design for linear NCSs in [33] and then expanded to the case of networked T-S fuzzy systems (NTSFSs) in [18]. It should be mentioned that how to use such a method to deal with the H ∞ controller design for FMJSs in the sense of finite-time stability is still challenging.…”

Section: Introductionmentioning

confidence: 99%

Finite-Time Event-Triggered $\mathcal{H}_{\infty }$ Control for T–S Fuzzy Markov Jump Systems

Shen

Yan

et al. 2018

IEEE Trans. Fuzzy Syst.

416

120

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Abstract-This paper investigates the finite-time eventtriggered H∞ control problem for Takagi-Sugeno Markov jump fuzzy systems. Because of the sampling behaviors and the effect of the network environment, the premise variables considered in this paper are subject to asynchronous constraints. The aim of this work is to synthesize a controller via an event-triggered communication scheme such that not only the resulting closedloop system is finite-time bounded and satisfies a prescribed H∞ performance level, but also the communication burden is reduced. Firstly, a sufficient condition is established for the finitetime bounded H∞ performance analysis of the closed-loop fuzzy system with fully considering the asynchronous premises. Then, based on the derived condition, the desired controller design method is presented. Finally, two illustrative examples are given to explain the practicability and availability of the designed controller.

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Section: Introductionmentioning

confidence: 99%

Finite-Time Event-Triggered $\mathcal{H}_{\infty }$ Control for T–S Fuzzy Markov Jump Systems

Shen

Yan

et al. 2018

IEEE Trans. Fuzzy Syst.

416

120

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“…Recently, a novel discrete model for networked control systems was introduced in [16], which contained trigger parameters, dynamic quantization, and fault detection. In [17], event-triggering load frequency control was employed in multiarea power systems. It should be noted that although the works on event-triggered NCSs are rich, the limitations still remain and there still exist some problems to be handled [18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Event-Based Nonfragile H∞ Filter Design for Networked Control Systems with Interval Time-Varying Delay

Ran

Zhang

et al. 2018

Journal of Control Science and Engineering

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This paper first investigates the event-triggered nonfragile ∞ filter design for a class of nonlinear NCSs with interval timevarying delay. An event-triggered scheme is addressed to determine sampled data to be transmitted so that network communication resource can be saved significantly. The nonfragile filter design is assumed to include multiplicative gain variations according to the filter's implement. Under the event-triggered scheme, the filtering error system is modeled as a system with interval time-varying delay. By constructing a new Lyapunov-Krasovskii functional and employing Wirtinger inequality, a sufficient condition is derived, which guarantees that the filtering error system is asymptotically stable with the prescribed ∞ performance. The nonfragile filter parameters are obtained by solving a set of linear matrix inequalities. Two numerical examples are given to show the usefulness and the effectiveness of the proposed method.

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“…In most control strategies, such as sliding mode control [1], adaptive control [2], and some other control schemes [3][4][5], states are the most important compoents of the designed controller. However, for most systems, it is difficult or expensive to measure the states.…”

Section: Introductionmentioning

confidence: 99%

State estimation and simultaneous unknown input and measurement noise reconstruction based on adaptive H ∞ observer

Zhu

Zhang

2016

Int. J. Control Autom. Syst.

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In this paper, we consider problems of state estimation, unknown input, and measurement noise reconstruction for a class of Lipschitz nonlinear systems. By extending the measurement noise as an auxiliary state vector, the original system is transformed into an augmented descriptor system. Then an adaptive H ∞ observer is developed for estimating the states, unknown input and measurement noise simultaneously. Further, sufficient conditions of the existence of the adaptive H ∞ observer are given in the form of linear matrix inequality, which can be solved easily via some efficient mathematic tools. Finally, two simulation examples are given to illustrate the effectiveness of the proposed method.

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Event-Triggering Load Frequency Control for Multiarea Power Systems With Communication Delays

Cited by 320 publications

References 42 publications

Finite-Time Event-Triggered $\mathcal{H}_{\infty }$ Control for T–S Fuzzy Markov Jump Systems

Finite-Time Event-Triggered $\mathcal{H}_{\infty }$ Control for T–S Fuzzy Markov Jump Systems

Event-Based Nonfragile H∞ Filter Design for Networked Control Systems with Interval Time-Varying Delay

State estimation and simultaneous unknown input and measurement noise reconstruction based on adaptive H ∞ observer

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