2003
DOI: 10.1016/s0960-0779(03)00470-3
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Controlling chaotic and hyperchaotic systems via energy regulation

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Cited by 6 publications
(2 citation statements)
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“…In 1990, Ott et al [7] showed that a chaotic attractor could be converted to any one of a large number of possible attracting time-periodic motions by making only small time-dependent parameter perturbation. So far, many different techniques and methods have been proposed to achieve chaos control, such as OGY method [7,9], time-delay feedback method [10,11], Lyapunov method [12,13], impulsive control method [14,15], sliding method control [16,17], differential geometric method [18,19], H 1 control [20,21], methods that coming from classical control theory (adaptive control [22][23][24]), chaos suppression method [24][25][26][27][28][29][30][31][32][33]. Controlling chaos consists in perturbing a chaotic system in order to stabilize a given unstable periodic orbit embedded in the chaotic attractor.…”
Section: Introductionmentioning
confidence: 99%
“…In 1990, Ott et al [7] showed that a chaotic attractor could be converted to any one of a large number of possible attracting time-periodic motions by making only small time-dependent parameter perturbation. So far, many different techniques and methods have been proposed to achieve chaos control, such as OGY method [7,9], time-delay feedback method [10,11], Lyapunov method [12,13], impulsive control method [14,15], sliding method control [16,17], differential geometric method [18,19], H 1 control [20,21], methods that coming from classical control theory (adaptive control [22][23][24]), chaos suppression method [24][25][26][27][28][29][30][31][32][33]. Controlling chaos consists in perturbing a chaotic system in order to stabilize a given unstable periodic orbit embedded in the chaotic attractor.…”
Section: Introductionmentioning
confidence: 99%
“…An approach to synchronization based on the classical notion of observers, when the state is not fully available, can be found in [8] and [15]. In many cases, when one deals with nonlinear chaotic dynamical systems, the interest is that of steering any trajectory of the chaotic system to an equilibrium point or to a limit cycle of the same system or of another coupled system, see [5], [10], [13] and [28]. For an adaptive control approach using a linear reference model we refer to [26].…”
Section: Introductionmentioning
confidence: 99%