A New Fuzzy Impulsive Control of Chaotic Systems Based on T–S Fuzzy Model

Liu, Yang; Zhao, Shouwei; Lu, Jianquan

doi:10.1109/tfuzz.2010.2090162

Cited by 86 publications

(60 citation statements)

References 29 publications

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“…Next, we will design a relevant control rate to assure that the error dynamic system (5) arrive at the switching manifold within limited time and further achieve the sliding mode motion [3].…”

Section: The Design Of Sliding Mode Controllermentioning

confidence: 99%

The Design and Research of the Sliding Mode Control of a New Chaotic System

Li¹

2013

IJMUE

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Section: The Design Of Sliding Mode Controllermentioning

confidence: 99%

The Design and Research of the Sliding Mode Control of a New Chaotic System

Li¹

2013

IJMUE

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“…It is found that impulsive control is very effective in a wide variety of applications for performance improvement of control process [17][18][19][20][21][22][23][24][25][26][27][28][29][30][31]. Ayati and Khaloozadeh [19] study the adaptive impulsive control to design an observer for nonlinear continuous systems.…”

Section: Introductionmentioning

confidence: 99%

“…Liu and Zhang [29] establish the impulsive control principle for stabilization of discrete-time nonlinear systems. Together with comparison criterion, fuzzy impulsive control is used for stabilization of chaotic systems [30]. Impulsive control algorithms are designed for droop-based secondary distributed control in islanded microgrids [31].…”

Section: Introductionmentioning

confidence: 99%

Multisynchronization for Coupled Multistable Fractional-Order Neural Networks via Impulsive Control

Zhang

2017

Complexity

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We show that every subnetwork of a class of coupled fractional-order neural networks consisting of identical subnetworks can have ( + 1) locally Mittag-Leffler stable equilibria. In addition, we give some algebraic criteria for ascertaining the static multisynchronization of coupled fractional-order neural networks with fixed and switching topologies, respectively. The obtained theoretical results characterize multisynchronization feature for multistable control systems. Two numerical examples are given to verify the superiority of the proposed results.

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“…The development of the impulsive dynamical systems has proceeded along two distinct lines. The dynamical systems with impulses have been widely studied in [14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33].…”

Section: Introductionmentioning

confidence: 99%