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[Retracted] A Novel of New 7D Hyperchaotic System with Self‐Excited Attractors and Its Hybrid Synchronization

Ahmed S. Al-Obeidi, Saad Fawzi Al-Azzawi, Abdulsattar Abdullah Hamad, M. Lellis Thivagar, Zelalem Meraf, Sultan Ahmad

2021Computational Intelligence and Neuroscience22 citationsDOIOpen Access PDF

Abstract

In this study, a novel 7D hyperchaotic model is constructed from the 6D Lorenz model via the nonlinear feedback control technique. The proposed model has an only unstable origin point. Thus, it is categorized as a model with self-excited attractors. And it has seven equations which include 19 terms, four of which are quadratic nonlinearities. Various important features of the novel model are analyzed, including equilibria points, stability, and Lyapunov exponents. The numerical simulation shows that the new class exhibits dynamical behaviors such as chaotic and hyperchaotic. This paper also presents the hybrid synchronization for a novel model via Lyapunov stability theory.

Topics & Concepts

Synchronization (alternating current)Control theory (sociology)AttractorComputer scienceNonlinear systemChaoticQuadratic equationLyapunov stabilityStability (learning theory)Lorenz systemLyapunov exponentLyapunov functionClass (philosophy)Computer simulationSynchronization of chaosHybrid systemApplied mathematicsChaotic systemsDynamical systems theoryMathematicsTopology (electrical circuits)Exponential stabilityControl (management)Dynamical system (definition)Chaos control and synchronizationNeural Networks Stability and SynchronizationChaos-based Image/Signal Encryption