Fuzzy-Driven Sliding Mode Control for Nonlinear Biomedical Systems: A Stability and Safety Approach
DOI:
https://doi.org/10.48047/1zfjw572Keywords:
Finite time controller,Sliding mode control, Sum of squares, Matched perturbation, asymptotic, Lyapunov function,Abstract
This study presents a novel approach for designing sliding-mode control and manifold structures to stabilize nonlinear and unpredictable biomedical systems, with applications in physiological signal regulation, robotic-assisted surgery, and adaptive drug delivery. A fuzzy controller is integrated to accelerate the negative input conversion process, enhancing real-time adaptability in dynamic medical environments. The proposed method expands the inner stability region for closed-loop kinetics, ensuring robust system behavior under uncertainty.
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References
Kumar, K. Ramash, S. Jeevananthan, and S. Ramamurthy. "Improved performance of the positive output elementary split inductor-type boost converter using sliding mode controller plus fuzzy logic controller." WSEAS Transactions on Systems and Control 9 (2014): 215-228.
Abjadi, Navid. "Design and implementation of a constant frequency sliding mode controller for a Luo converter." International Journal of Engineering 29.2 (2016): 202-210.
Muthukaruppasamy, S., "Design and Implementation of Sliding Mode Controller Plus Fuzzy Logic Controller for Discontinuous Conduction Mode Operation of Negative Output Elementary Super Lift Luo Converter." Journal of Computational and Theoretical Nanoscience 13.11 (2016): 8505-8521.
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