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Global Chaos Synchronization of Hyperchaotic Pang and Hyperchaotic Wang Systems via Adaptive Control

Authors: Sundarapandian Vaidyanathan; Karthikeyan Rajagopal;

Global Chaos Synchronization of Hyperchaotic Pang and Hyperchaotic Wang Systems via Adaptive Control

Abstract

This paper investigates the global chaos synchronization of identical hyperchaotic Wang systems, identical hyperchaotic Pang systems, and non-identical hyperchaotic Wang and hyperchaotic Pang systems via adaptive control method. Hyperchaotic Pang system (Pang and Liu, 2011) and hyperchaotic Wang system (Wang and Liu, 2006) are recently discovered hyperchaotic systems. Adaptive control method is deployed in this paper for the general case when the system parameters are unknown. Sufficient conditions for global chaos synchronization of identical hyperchaotic Pang systems, identical hyperchaotic Wang systems and non-identical hyperchaotic Pang and Wang systems are derived via adaptive control theory and Lyapunov stability theory. Since the Lyapunov exponents are not required for these calculations, the adaptive control method is very convenient for the global chaos synchronization of the hyperchaotic systems discussed in this paper. Numerical simulations are presented to validate and demonstrate the effectiveness of the proposed synchronization schemes.

Keywords

Adaptive Control,, Synchronization,, Hyperchaos

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
57
Average
Top 10%
Top 10%
Green
gold