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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
Variousnumerical simulations are performed to verify the effectiveness of the proposedapproach.
📌 3 Key Takeaways
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Objective & Hypothesis:The main objective of this work is to discuss a generalized synchronization ofa coupled chaotic identical and nonidentical dynamical systems.
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Key Findings & Data:We proposea method to study generalized synchronization in master-slave systems.
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Conclusion & Impact:Variousnumerical simulations are performed to verify the effectiveness of the proposedapproach.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters
Abstract
The main objective of this work is to discuss a generalized synchronization ofa coupled chaotic identical and nonidentical dynamical systems. We proposea method to study generalized synchronization in master-slave systems. Thismethod, is based on the classical Lyapunov stability theory, utilizes the mastercontinuous time chaotic system to monitor the synchronized motions. Variousnumerical simulations are performed to verify the effectiveness of the proposedapproach.
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Cite This Article
SARI, M., BOUHAMİDİ, A., TAHİR, S. A. (2022). Generalized synchronization of identical and nonidentical chaotic dynamical systems via master approaches. An International Journal of Optimization and Control: Theories & Applications (IJOCTA), Cilt: 7 - Sayı: 3, 248–254. https://ajindex.com/articles/440688