Results 51 to 60 of about 47,257 (241)

A Data-Driven Approach of Takagi-Sugeno Fuzzy Control of Unknown Nonlinear Systems

Applied Sciences, 2020
A novel approach to build a Takagi-Sugeno (T-S) fuzzy model of an unknown nonlinear system from experimental data is presented in the paper. The neuro-fuzzy models or, more specifically, fuzzy basis function networks (FBFNs) are trained from input–output
Bin Zhang, Yung C. Shin
doaj   +1 more source

Speed Control of Separately Excited DC Motor using Neuro Fuzzy Technique [PDF]

, 2010
This paper uses NEURO FUZZY TECHNIQUE in estimating speed and controlling it for a separately excited DC motor. The rotor speed of the dc motor can be made to follow an arbitrarily selected trajectory.
Baranwal, V, Kumar, S
core  

Design of an Adaptive Neurofuzzy Inference Control System for the Unified Power-Flow Controller [PDF]

, 2011
This paper presents a new approach to control the operation of the unified power-flow controller (UPFC) based on the adaptive neurofuzzy inference controller (ANFIC) concept.
Farrag, Mohamed, Putrus, Ghanim
core   +1 more source

Integrating Artificial Intelligence With Droplet‐Based Microfluidics: Advances, Challenges, and Emerging Opportunities

Advanced Intelligent Systems, EarlyView.
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai, Sukrit Gaira, Rongfeng Wang, Qingtian Zhang, Ming Li, Liao Wu, Diangeng Li, Yi Li, Chengchen Zhang, Jinhong Guo, Shi‐Yang Tang   +10 more
wiley   +1 more source

Data-driven Soft Sensors in the Process Industry [PDF]

, 2009
In the last two decades Soft Sensors established themselves as a valuable alternative to the traditional means for the acquisition of critical process variables, process monitoring and other tasks which are related to process control.
Abdi, Alhoniemi, Angelov, Angelov, Angelov, Arazo-Bravo, Atkeson, Bastin, Bauer, Bishop, Bogdan Gabrys, Bonne, Breiman, Bro, Casali, Chen, Chen, Chen, Chen, Chen, Choi, Chruy, Davies, Dayal, De Wolf, Desai, Devogelaere, Ding, Dong, Dong, Dote, Doyle, Dunia, Dunia, Dunia, Eriksson, Fellner, Fortuna, Fortuna, Frank, Freund, Funahashi, Gabrielsson, Gabrys, Gabrys, Gabrys, Gabrys, Gama, Geladi, Gomez, Gonzalez, Gonzalez, Goodwin, Gosset, Guyon, Han, Hastie, He, Hodge, Hotelling, Jackson, James, Jang, Jiang, Jolliffe, Jordaan, Jos de Assis, Kadlec, Kadlec, Kalos, Kampjarvi, Kittler, Kohavi, Kohonen, Kordon, Kourti, Kourti, Krogh, Kuncheva, Lee, Lee, Lee, Lee, Li, Li, Lin, Lin, Luo, Macias, Mandic, Marjanovic, Meleiro, Menold, Nauck, Neogi, Nomikos, Nomikos, Nomikos, Opitz, Park, Pearson, Pearson, Petr Kadlec, Poggio, Prasad, Principe, Qin, Qin, Qin, Qin, Radhakrishnan, Rnnar, Rong, Rotem, Ruta, Ruta, Schafer, Scheffer, Serneels, Sibylle Strandt, Stanimirova, Su, Tzanakou, van Sprang, van Sprang, Vapnik, Venkatasubramanian, Venkatasubramanian, Venkatasubramanian, Vilalta, Walczak, Walczak, Walczak, Wang, Wang, Wang, Wang, Warne, Weiss, Widmer, Wold, Wold, Wold, Wolpert, Yan, Yang, Zadeh, Zamprogna, Zamprogna, Zhang   +149 more
core   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source

A Neuro-Fuzzy System for Power Supply Control

Engineering Proceedings, 2023
Automatic control of power supply sources is considered. Different types of batteries behave differently inside a device and require specific optimal conditions to perform efficiently.
Sergey Morozov, Mikhail Kupriyanov
doaj   +1 more source

Fuzzy Logic and Its Uses in Finance: A Systematic Review Exploring Its Potential to Deal with Banking Crises [PDF]

, 2019
The major success of fuzzy logic in the field of remote control opened the door to its application in many other fields, including finance. However, there has not been an updated and comprehensive literature review on the uses of fuzzy logic in the ...
Oliver Alfonso, María Dolores, Sanchís Pedregosa, Carlos, Sánchez Roger, Marc   +2 more
core   +1 more source

Artificial Intelligence in Autonomous Mobile Robot Navigation: From Classical Approaches to Intelligent Adaptation

Advanced Intelligent Systems, EarlyView.
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella, Angelo Cardellicchio, Cosimo Patruno, Massimiliano Nitti, Nicola Pedrocchi, Vito Renò   +5 more
wiley   +1 more source

Aplikasi Metode Neuro-Fuzzy Pada Sistem Pengendalian Antisurge Kompresor [PDF]

, 2006
Operating condition that unstabil to compressor is called surge, which defined as self oscillations between pressure and flow, that can cause serious damage to compressor. Because of this problem, it is necessary to design of antisurge compressor control.
Abadi, I. (Imam), Aisjah, A. S. (Aulia), S, R. N. (Riftyanto)   +2 more
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