A fuzzy neural network-based fractional-order Lyapunov-based robust control strategy for exoskeleton robots: Application in upper-limb rehabilitation
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DOI: 10.1016/j.matcom.2021.10.022
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Cited by:
- Afkar, Mohammad & Gavagsaz-Ghoachani, Roghayeh & Phattanasak, Matheepot & Pierfederici, Serge, 2024. "Voltage-balancing of two controllers for a DC-DC converter-based DC microgrid with experimental verification," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 221(C), pages 159-179.
- Ayman A. Aly & Mai The Vu & Fayez F. M. El-Sousy & Ahmed Alotaibi & Ghassan Mousa & Dac-Nhuong Le & Saleh Mobayen, 2022. "Fuzzy-Based Fixed-Time Nonsingular Tracker of Exoskeleton Robots for Disabilities Using Sliding Mode State Observer," Mathematics, MDPI, vol. 10(17), pages 1-19, September.
- Ayman A. Aly & Kuo-Hsien Hsia & Fayez F. M. El-Sousy & Saleh Mobayen & Ahmed Alotaibi & Ghassan Mousa & Dac-Nhuong Le, 2022. "Adaptive Neural Backstepping Control Approach for Tracker Design of Wheelchair Upper-Limb Exoskeleton Robot System," Mathematics, MDPI, vol. 10(22), pages 1-16, November.
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Keywords
Exoskeleton robots; Fuzzy neural network; Lyapunov stability theorem; Fractional calculus; Terminal sliding mode control; Finite-time stability;All these keywords.
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