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Learning-based type-3 fuzzy control for fractal-nonlinear cyber-physical systems | Synapse
March 3, 2026
Learning-based type-3 fuzzy control for fractal-nonlinear cyber-physical systems
HB
Harikaran B
HS
Harshavarthini S
SRM Institute of Science and Technology
Key Points
Fuzzy control enhances performance across various nonlinear dynamics, indicating a potential breakthrough.
Achieves improved stability and adaptability in complex environments through learning-based mechanisms.
Analysis of cyber-physical systems reveals that integrating learning-based fuzzy control effectively manages fractal characteristics.
This approach highlights the need for innovative methods to address nonlinear system challenges.
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B et al. (Wed,) studied this question.
synapsesocial.com/papers/69a76191c6e9836116a2f984
https://doi.org/https://doi.org/10.1016/j.cnsns.2026.109850
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