Fuzzy-Based Adaptive Control and Synchronization of Chaotic and Hyper-Chaotic Nonlinear Systems
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Abstract
This paper presents a comprehensive study on fuzzy-based adaptive control
and synchronization of chaotic and hyper-chaotic nonlinear systems. The research
integrates fuzzy logic control, anti-synchronization, and time-delay adaptive synchronization frameworks to enhance stability and synchronization performance in
Lorenz and Chen systems. The results demonstrate the feasibility and robustness
of the proposed methods, providing new insights for applications in secure communications, control engineering, and complex system modeling
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References
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