An Improved Direct Torque Control with an Advanced Broken-Bar Fault Diagnosis for Induction Motor Drives by Oualid Aissa, Abderrahim Reffas, Hicham Talhaoui, Djamel Ziane, Abdelhakim Saim

“…This paper presents an advanced strategy combining fuzzy logic and artificial neural networks (ANNs) for direct torque control (DTC) and broken-bar fault diagnosis in induction motors. …”
Get full text

Adaptive Fuzzy Cooperative Control for Nonlinear Multiagent Systems with Unknown Control Coefficient and Actuator Fault by Xin Deng, Xiaoping Liu, Yang Cui, Cungen Liu

“…The uncertain nonlinear function has been approximated by fuzzy logic system (FLS). The unknown control coefficient and the remaining control rate of actuator fault can be solved by introducing a Nussbaum function. …”
Get full text

Novel intelligent adaptive sliding mode control for marine fuel cell system via hybrid algorithm by Shiyi Fang, Daifen Chen, Xinyu Fan

“…The control strategy employs a non-singular fast terminal sliding surface for the controller, integrating a fuzzy logic and particle swarm optimization to tune the sliding mode gain and dynamically regulate output, thereby enhancing system efficiency and minimizing energy consumption. …”
Get full text

Disturbance-Observer-Based Fuzzy Control for a Robot Manipulator Using an EMG-Driven Neuromusculoskeletal Model by Longbin Zhang, Wen Qi, Yingbai Hu, Yue Chen

“…In the robot manipulator system, a fuzzy logic system, utilizing an integral Lyapunov function, was applied for robot manipulator systems subject to model uncertainties and external disturbances. …”
Get full text

Adaptive Fuzzy-Based Energy and Delay-Aware Routing Protocol for a Heterogeneous Sensor Network by Sai Krishna Mothku, Rashmi Ranjan Rout

“…In the proposed mechanism, routing decisions are taken using a fuzzy logic system by considering network resources, such as residual energy, quality of link, available buffer size, and distance (proximity). …”
Get full text

Speed Tracking and Synchronization of a Multimotor System Based on Fuzzy ADRC and Enhanced Adjacent Coupling Scheme by Liang Tao, Qiang Chen, Yurong Nan, Fang Dong, Yan Jin

“…In this paper, a speed tracking and synchronization control approach is proposed for a multimotor system based on fuzzy active disturbance rejection control (FADRC) and enhanced adjacent coupling scheme. By employing fuzzy logic rules to adjust the coefficients of the extended state observer (ESO), FADRC is presented to guarantee the speed tracking performance and enhance the system robustness against external disturbance and parametric variations. …”
Get full text

Fuzzy Adaptive Prescribed Performance Fault-Tolerant Control for HFVs with Fixed-Time Convergence Guarantee by Zehong Dong, Yinghui Li, Maolong Lv, Zilong Zhao, Binbin Pei

“…Different from the most existing PPC approaches where the initial conditions of tracking errors are required to be known, the newly proposed prescribed performance function (PPF) can relax such restrictions through choosing properly small initial values of PPF. Fuzzy logic systems (FLSs) are employed to handle unknown dynamics, and minimal learning parameter (MLP) technique is incorporated into the design for the purpose of alleviating computation burden. …”
Get full text

A Hybrid Fuzzy Genetic Algorithm for an Adaptive Traffic Signal System by S. M. Odeh, A. M. Mora, M. N. Moreno, J. J. Merelo

“…This paper presents a hybrid algorithm that combines Fuzzy Logic Controller (FLC) and Genetic Algorithms (GAs) and its application on a traffic signal system. …”
Get full text

Fuzzy Fractional-Order PID Control for PMSG Based Wind Energy Conversion System with Sparse Matrix Converter Topology by Waleed Khaled Abdulrazaq Abdulrazaq, Ahmet Mete Vural

“…The FFOPID controller is chosen to combine the salient features of the fractional-order calculus and fuzzy logic operations to enhance the dynamic response of classical PID controller with fixed gains. …”
Get full text

POSFUST RELIABILITY OF A NON-REPAIRABLE MULTI-STATE SYSTEM WITH POSFUST FAILURE RATE ESTIMATION by Harendra Yadav, Mukesh Kumar Sharma, Vishnu Narayan Mishra

“…In this research paper, we have introduced a new measure for failure rate estimation using possibilistic measure based on fuzzy logic. In this work for the effective measurements of reliability, we have tried to cover the uncertainty in the failure rate at every state failure level. …”
Get full text

Event-Triggered Bipartite Formation Control for Switched Nonlinear Multi-Agent Systems with Function Constraints on States by Yingxue Hou, Shu Li

“…A distributed adaptive fuzzy event-triggered bipartite formation tracking control scheme is proposed for switched nonlinear multi-agent systems (MASs) with function constraints on states. Fuzzy logic systems (FLSs) are used to identify uncertain items. …”
Get full text

Adaptive Fuzzy Consensus Tracking Control for Nonlinear Multiagent Systems with Time-Varying Delays and Constraints by Jie Lan, Tongyu Xu

“…State constraints further increase the difficulty of controller design and stability analysis, especially for nonstrict feedback systems. Fuzzy logic systems (FLSs) tackle the approximation of unknown dynamics functions and parameters. …”
Get full text

Micro-Grid Wind Energy Conversion Systems: Conventional and Modern Embedded Technologies - A Review by Mutiu AGBOOLA, K.A. HASSAN, T.O. AJEWOLE

“… This study assesses the effectiveness of an electric microgrid wind energy conversion system using both traditional techniques and contemporary embedded systems, such as artificial neural network-based control mechanisms and fuzzy logic control. The text compares and lists the advantages and disadvantages of various types of wind turbines (WTs). …”
Get full text

Civil structural health monitoring and machine learning: a comprehensive review by Asraar Anjum, Meftah Hrairi, Abdul Aabid, Norfazrina Yatim, Maisarah Ali

“…In combination with ML, the review explores corresponding soft computing methodologies such as fuzzy logic (FL) and design of experiments (DOE). A variety of case examples that highlight the versatility of these approaches, particularly in applications linked to structural reinforcement, enhance the story. …”
Get full text

Analysis of Local Macroeconomic Early-Warning Model Based on Competitive Neural Network by Xiaoxuan Wang, Jingjing Wang, Ying Zhang, Yixing Du

“…This article proposes a method of selecting macroeconomic early-warning indicators using self-organizing competitive neural networks and designs a macroeconomic nonlinear early warning model of self-organizing competitive neural networks; using fuzzy logic reasoning to introduce economic experts’ experience into macroeconomic early warning analysis, the system has the ability to deal with nonlinear and uncertain problems and realizes the intelligence of the early-warning process, uses the national macroeconomic indicator data from January 1997 to March 2008 for empirical analysis, and compares the self-organizing competitive neural network method with the traditional KL information method. …”
Get full text

Electric Vehicle Longitudinal Stability Control Based on a New Multimachine Nonlinear Model Predictive Direct Torque Control by M’hamed Sekour, Kada Hartani, Abdelkader Merah

“…In order to achieve a high-performance torque control for EVs, the NMP-DTC strategy is proposed. It uses the fuzzy logic control technique that determines online the accurate values of the weighting factors and generates the optimal switching states that optimize the EV drives’ decision. …”
Get full text

A Novel Rules Based Approach for Estimating Software Birthmark by Shah Nazir, Sara Shahzad, Sher Afzal Khan, Norma Binti Alias, Sajid Anwar

“…For this purpose, the concept of soft computing such as probabilistic and fuzzy computing has been taken into account and fuzzy logic is used to estimate properties of birthmark. …”
Get full text

Environmental Risk Assessment System for Phosphogypsum Tailing Dams by Xin Sun, Ping Ning, Xiaolong Tang, Honghong Yi, Kai Li, Lianbi Zhou, Xianmang Xu

“…Two analytical methods, that is, the analytic hierarchy process (AHP) and fuzzy logic, were used to handle the complexity of the environmental and nonquantitative data. …”
Get full text

Hydrological Information related Existed Dam Sites Assessment using ArcGIS in Zawita District by Zahraa Mahmood Klari, Dadvan Hakeem Abdulrahman

“…In this paper, a hybrid Geographic information system (ArcGIS) decision-making technology powered by fuzzy logic is developed to assess seven small dams' sites in the Zawita district. …”
Get full text

Quantitative Nondestructive Testing of Wire Rope Using Image Super-Resolution Method and AdaBoost Classifier by Jigang Li, Juwei Zhang

“…A super-resolution algorithm based on interpolation uses non-subsampled shearlet transform (NSST) combining principal component analysis (PCA) and Gaussian fuzzy logic (GFL) and fuses the data of double detection board to improve the resolution and quality of defect images. …”
Get full text