A Uniform Robust Exact Differentiator Based Neuro-Fuzzy Fractional Order Sliding Mode Control for Optimal Standalone Solar Photovoltaic System
This study introduces an innovative neurofuzzy fractional-order sliding mode control approach for standalone photovoltaic systems, designed to mitigate uncertainties and disturbances caused by fluctuating environmental conditions. The method combines a fuzzy logic neural network, uniform robust exac...
Saved in:
Main Authors: | Safeer Ullah, Ahmed S. Alsafran, Ambe Harrison, Ghulam Hafeez, Abouobaida Hassan, Baheej Alghamdi, Habib Kraiem |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10823094/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Robust uniform persistence in discrete and continuous dynamical systems using Lyapunov exponents
by: Paul L. Salceanu
Published: (2011-05-01) -
Exact Recovery for System Identification With More Corrupt Data Than Clean Data
by: Baturalp Yalcin, et al.
Published: (2025-01-01) -
Linear Quadratic Robust Control of Synchronous Reluctance Motor
by: Dávid Gábor Bányai, et al.
Published: (2024-10-01) -
A novel adaptive FOCV algorithm with robust IMRAC control for sustainable and high-efficiency MPPT in standalone PV systems: experimental validation and performance assessment
by: Hamid Belghiti, et al.
Published: (2024-12-01) -
Vibration Analysis and Optimal Control of Hydraulic Turbine Based on Sliding Mode Control Strategy
by: Xiaoping Huang, et al.
Published: (2025-01-01)