Research on Adaptive Variable Impedance Control Method Based on Adaptive Neuro-Fuzzy Inference System. [PDF]
Sensors (Basel)Wang X, Li C, Cai D, Cui Y.
europepmc +1 more source
ADVANCED PUMP OPERATION IN COMBINED SEWER SYSTEMS USING GENETIC ALGORITHMS AND FUZZY CONTROL
, 1998 Shunsaku YAGI, Sadataka Shiba
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Robust neuro-fuzzy control of multivariable systems by tuning consequent membership functions [PDF]
, 2001 Wei‐Song Lin +2 more
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Stability of Organic Photovoltaics: From Root Causes to Advanced Analytical Techniques
Advanced Energy Materials, EarlyView.This review explains the causes and mechanisms of degradation in organic photovoltaics (OPVs). It explores how various factors, including heat, light, oxygen, and inherent material properties, influence OPV stability. The study categorizes degradation pathways and analyzes their impact on device performance, providing insights into the fundamental ...
Yelim Choi +6 more
wiley +1 more source
Research on fault prediction and speed control system for unmanned combine harvesters based on IPSO-SVM and fuzzy logic. [PDF]
Front Plant SciZhang S +8 more
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H<sub>∞</sub> Control for Takagi-Sugeno Fuzzy Jump and Sampled-Data Systems
, 1999 Jun Yoneyama +3 more
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Advanced Energy and Sustainability Research, EarlyView.This review highlights advanced methods for detecting and managing over‐humidification in polymer electrolyte fuel cells (PEFCs), emphasizing innovative sensors, simulation techniques, and imaging methods. By addressing the impact of water management on fuel‐cell performance and durability, this study outlines practical and sustainable solutions for ...
Maximilian Käfer +2 more
wiley +1 more source
Security fuzzy control for nonlinear networked systems with multichannel DoS attacks and actuator saturation. [PDF]
Sci RepGuan HG +5 more
europepmc +1 more source
LEARNING CONTROL AND FUZZY REASONING FOR PNELJMATIC POSITION SYSTEM WITH BRAKE
, 1996 Maolin Cai +3 more
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Performance Rate Analysis in Photovoltaic Solar Plants by Machine Learning
Advanced Energy and Sustainability Research, EarlyView.Thermal imaging and deep learning are combined to detect faults in photovoltaic panels inspected by autonomous vehicles. A robust pipeline classifies panel defects from aerial thermograms using a convolutional neural network, supporting both real‐time and offline analysis.
Alba Muñoz del Rio +2 more
wiley +1 more source