2014
DOI: 10.1007/s11071-014-1463-5
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Practical finite-time synchronization of jerk systems: Theory and experiment

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Cited by 63 publications
(28 citation statements)
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“…Hence, it clearly appears that the synchronization time has to be known and minimized, so to make the synchronization be achieved as fast as possible. In this context, there is a relentless activity in the study of finite-time chaos synchronization [36,37] and gradually of fractional-order systems [38][39][40]. Unfortunately, in many of these references dealing with synchronization, for example in the previous three, applications in secure communication are missing.…”
Section: Introductionmentioning
confidence: 99%
“…Hence, it clearly appears that the synchronization time has to be known and minimized, so to make the synchronization be achieved as fast as possible. In this context, there is a relentless activity in the study of finite-time chaos synchronization [36,37] and gradually of fractional-order systems [38][39][40]. Unfortunately, in many of these references dealing with synchronization, for example in the previous three, applications in secure communication are missing.…”
Section: Introductionmentioning
confidence: 99%
“…In this work, we consider a simple jerk system with hyperbolic tangent nonlinearity [18] whose symmetry is broken by the introduction of an additive constant k. We address the chaos generation mechanism, the formation of bubbles of bifurcation, and the coexistence of multiple attractors in both the symmetric (k � 0) and the asymmetric (k ≠ 0) regimes of operation. For convenience, recall that jerk dynamic systems [19][20][21][22][23] refer to 3D ordinary differential equations (ODEs) in the form x ... � J(x, _ x, € x) where the nonlinear vector function J(·) indicates the "jerk" (i.e., the time derivative of the acceleration). e hyperbolic tangent function is relevant in numerous problems such as nonideal operational amplifiers, activation function in neural network, magnetization in ferromagnetic systems, and solar wind-driven magnetosphere-ionosphere systems [24][25][26][27][28].…”
Section: Introductionmentioning
confidence: 99%
“…A common feature in this literature is that the convergence is achieved with two systems of equations using various control methods with kernel being based on the system state variables as usually applied on nonlinear circuits. 2,[8][9][10][11][12][13][14][15][16][17] However, with this approach the control error is not accurate enough because it is subject to either chattering phenomenon or the closeness to initial conditions. This led scientists to develop new approaches.…”
Section: Introductionmentioning
confidence: 99%