[Retracted] Secure Complex Systems: A Dynamic Model in the Synchronization
Author(s) -
Àbdulsattar Abdullah Hamad,
M. Lellis Thivagar,
Jalawi Sulaiman Alshudukhi,
Talal Saad Alharbi,
Saud Aljaloud,
Khalid Alhamazani,
Zelalem Meraf
Publication year - 2021
Publication title -
computational intelligence and neuroscience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.605
H-Index - 52
eISSN - 1687-5273
pISSN - 1687-5265
DOI - 10.1155/2021/9719413
Subject(s) - synchronizing , synchronization (alternating current) , computer science , lyapunov stability , linearization , nonlinear system , control theory (sociology) , lyapunov function , synchronization of chaos , hamiltonian system , stability (learning theory) , chaotic , control (management) , mathematics , artificial intelligence , telecommunications , transmission (telecommunications) , quantum mechanics , machine learning , mathematical physics , channel (broadcasting) , physics
Chaotic systems are one of the most significant systems of the technological period because their qualities must be updated on a regular basis in order for the speed of security and information transfer to rise, as well as the system’s stability. The purpose of this research is to look at the special features of the nine-dimensional, difficult, and highly nonlinear hyperchaotic model, with a particular focus on synchronization. Furthermore, several criteria for such models have been examined; Hamiltonian, synchronizing, Lyapunov expansions, and stability are some of the terms used. The geometrical requirements, which play an important part in the analysis of dynamic systems, are also included in this research due to their importance. The synchronization and control of complicated networks’ most nonlinear control is important to use and is based on two major techniques. The linearization approach and the Lyapunov stability theory are the foundation for attaining system synchronization in these two ways.
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