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. …”
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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. …”
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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. …”
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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. …”
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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. …”
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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. …”
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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. …”
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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. …”
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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. …”
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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. …”
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An Innovative Architecture of UTC GPS/INS System with Improved Performance under Severe Jamming by Xueyun Wang, Jingjuan Zhang, Wei Wang, Pengyu Gao

“…The bandwidth will be adapted through a fuzzy logic controller according to the calculated carrier to noise intensity ratio (C/N0). …”
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Detecting Cross-Site Scripting in Web Applications Using Fuzzy Inference System by Bakare K. Ayeni, Junaidu B. Sahalu, Kolawole R. Adeyanju

“…This paper describes the method implemented based on fuzzy logic to detect classic XSS weaknesses and to provide some results on experimentations. …”
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Nonlinear Control of an Active Magnetic Bearing System Achieved Using a Fuzzy Control with Radial Basis Function Neural Network by Seng-Chi Chen, Van-Sum Nguyen, Dinh-Kha Le, Nguyen Thi Hoai Nam

“…The mathematical model of an AMB system comprises identification followed by collection of information from this system. A fuzzy logic controller (FLC), the parameters of which are adjusted using a radial basis function neural network (RBFNN), is applied to the unbalanced vibration in an AMB system. …”
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A Fuzzy Control Strategy for Multi-Goal Autonomous Robot Navigation by Stavros Stavrinidis, Paraskevi Zacharia, Elias Xidias

“…The integration of fuzzy logic with TSP-based path planning and real-time dynamic obstacle handling represents a significant advancement in autonomous robot navigation. …”
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Diagnosis experience of traction engines of locomotives by Ngoulou-A-Ndzeli, V. Yu. Tetter, V. G. Shakhov

“…Authors propose a method and algorithms for the rapid diagnosis of locomotives traction engines based on duplication of main frequency channel by additional wavelet analysis and decision — making on the methodology of fuzzy logic. The method and corresponding algorithms are uses for programming controllers of vibrodiagnostic systems.…”
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Performance Evaluation of Various Z-Source Inverter Topologies for PV Applications Using AI-Based MPPT Techniques by N. Kalaiarasi, A. Sivapriya, Pradeep Vishnuram, Mukesh Pushkarna, Mohit Bajaj, Hossam Kotb, Sadam Alphonse

“…Also, artificial neural networks (ANNs), fuzzy logic controller (FLC), and adaptive neuro-fuzzy inference system (ANFIS)-based MPPT techniques are discussed for obtaining maximum power from PV panels. …”
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Evaluating Visual Satisfaction in Urban Sculpture Spaces: A Multi-Criteria Decision Making Approach by Dianwei Zou, Liping Pan

“…Due to the combination of interval-valued fuzzy logic with disc geometry, D-IVFFS offers a form of more flexible, efficient, and accurate approach for managing uncertainty than F-sets. …”
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Review of Condition Rating and Deterioration Modeling Approaches for Concrete Bridges by Nour Faris, Tarek Zayed, Ali Fares

“…Techniques such as fuzzy logic and non-destructive evaluation (NDE) methods were identified as promising tools to mitigate uncertainties and enhance accuracy. …”
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Buildings, Causalities, and Injuries Innovative Fuzzy Damage Model during Earthquakes by Mohammad Reza Amiri Shahmirani, Abbas Akbarpour Nikghalb Rashti, Mohammad Reza Adib Ramezani, Emadaldin Mohammadi Golafshani

“…In this study, the degree of damage to the structure is first determined and the potential damage is then predicted using field data and fuzzy logic (FL). Effective parameters in the model include the structure height, building age, shear wave velocity in the soil, the plan equivalent moment of inertia, distance to the fault, earthquake factor, the number of inhabitants in the building, and the building height-to-width ratio (HWR). …”
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Analysis, Filtering, and Control for Takagi-Sugeno Fuzzy Models in Networked Systems by Sunjie Zhang, Zidong Wang, Jun Hu, Jinling Liang, Fuad E. Alsaadi

“…The fuzzy logic theory has been proven to be effective in dealing with various nonlinear systems and has a great success in industry applications. …”
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