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SUPPRESSION OF CHAOS THROUGH CHANGES IN THE SYSTEM VARIABLES THROUGH POINCARÉ AND LORENZ RETURN MAPS
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1996
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AttractorDeterministic Dynamical SystemChaos TheoryStabilityHigh-dimensional ChaosDynamical AnalysisN- Dimensional FlowsBifurcation TheoryChaotic MixingState VariablesAdditive Fashion
The present paper introduces a new chaos suppression method that is able to stabilize N- dimensional flows by perturbing the state variables in a discrete way when the flow crosses a suitably chosen Poincaré section. Two versions of the method are presented, depending on whether the perturbations are introduced on a proportional or an additive fashion. The perturbations are applied to the corresponding N−1-dimensional Poincaré map, or, in the case of strongly dissipative systems, to a suitable one-dimensional Lorenz map. The method is applied to two different three-variable flows: Rössler spiral chaos model and an isothermal three-variable autocatalator model introduced by Peng et al.