2006
DOI: 10.1016/j.chaos.2005.04.117
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Synchronization of chaotic systems based on SDRE method

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Cited by 31 publications
(20 citation statements)
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“…The chaos represents an interesting topic because irregular oscillations can be undesirable in some physical systems. Control and synchronization schemes for different chaotic systems have been explored by various researchers since long [1][2][3][4][5][6][7][8]. These systems find applications in spread spectrum waveforms, secure communication, cryptography and they are utilized as chaotic sources in transmitter-receiver schemes [9][10][11][12][13][14][15][16][17].…”
Section: Introductionmentioning
confidence: 99%
“…The chaos represents an interesting topic because irregular oscillations can be undesirable in some physical systems. Control and synchronization schemes for different chaotic systems have been explored by various researchers since long [1][2][3][4][5][6][7][8]. These systems find applications in spread spectrum waveforms, secure communication, cryptography and they are utilized as chaotic sources in transmitter-receiver schemes [9][10][11][12][13][14][15][16][17].…”
Section: Introductionmentioning
confidence: 99%
“…Where a is the parameter of virtual system and parametric error is defined as 1 a a a   .The Jacobian matrix in this case will be 1 1 2…”
Section: Iii2 Observer Design For Chaotic Lorenz System For Parametrmentioning
confidence: 99%
“…Where m  x and ( , ) t fx is continuous differentiable function such that, : ( 1) m f vector function. The main definition and theorem of contraction are taken from [15] and reproduced here for the clarity purpose.…”
Section: Preliminariesmentioning
confidence: 99%
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“…The purpose of the present work lies in the design of a robust optimal control system for the control and synchronization of new hyperchaotic system using the state-dependent Riccati equation (SDRE) method. The State-Dependent Riccati Equation (SDRE) techniques are general design methods that control problems involving nonlinear systems [10][11][12][13][14]. For a nonlinear system a form of linearization is required which is not an approximation but simply a rewriting of the mathematical model in a different form.…”
Section: Introductionmentioning
confidence: 99%