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2015
DOI: 10.1007/s00034-015-0105-6
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Sampled-Data $$H_{\infty }$$ H ∞ Synchronization of Chaotic Lur’e Systems with Time Delay

Abstract: This paper deals with the problem of robust H ∞ synchronization of chaotic Lur'e systems with time-varying delays via sampled-data control. In order to make full use of the information about sampling intervals, nonlinear functions and time-varying delays, an improved Lyapunov-Krasovskii (L-K) functional is introduced. Based on reciprocal convex combination technique, sufficient conditions are derived in terms of linear matrix inequalities (LMIs) to ensure the asymptotic synchronization of the considered Lur'e … Show more

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Cited by 95 publications
(51 citation statements)
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“…9,[46][47][48][49][50][51][52][53] In this paper, we will use a three-layer multiple-input multiple-output (MIMO) neural network, which can be seen in Figure 1.…”
Section: B Description Of the Neural Networkmentioning
confidence: 99%
“…9,[46][47][48][49][50][51][52][53] In this paper, we will use a three-layer multiple-input multiple-output (MIMO) neural network, which can be seen in Figure 1.…”
Section: B Description Of the Neural Networkmentioning
confidence: 99%
“…A lot of works have been given on this theme because of its possible application in many fields such as communications, information processing [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18]. For example, Liu et al [19] discussed robust synchronization of uncertain complex networks by using impulsive control.…”
Section: Introductionmentioning
confidence: 99%
“…[2][3][4][5][6][7] Recently, fractional-order calculus has received a particular interest from physicists and engineers because it has some interesting and special properties compared with the integer-order one. [8][9][10][11][12][13][14][15][16][17][18][19][20] In reality, lots of actual systems can be described by fractional-order differential equations due to their unusual properties. On the other hand, fractional-order calculus has been employed to establish the system models in many domains, for example, biophysics, physics, engineering, aerodynamics, blood flow phenomena, biology, control theory, electron-analytical chemistry.…”
Section: Introductionmentioning
confidence: 99%