Konu "Fuzzy logic" için Araştırma Çıktıları | Web of Science İndeksli Yayınlar Koleksiyonu listeleme
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Adaptive second order sliding mode guidance law for missile-target interception with fuzzy logic system
(SAGE Publications, 2023)This paper presents the design of a 3D missile guidance law based on a second order sliding mode control technique employing an adaptive tuning law and a fuzzy gain scheduling. At the outset, the super-twisting sliding ... -
Assessment of corporate innovation capability with a data-mining approach: industrial case studies
(Elsevier, 2016)The interest in assessment of innovation capability of manufacturing systems is fueled by the growing competition. At this time, there is no generally accepted model to evaluate innovation capability of manufacturing ... -
Data-driven-based fuzzy control system design for a hybrid electric vehicle
(Springer, 2023)A well-designed energy management system plays a crucial role in increasing fuel efficiency and reducing polluting emissions in dual-power hybrid electric vehicles (HEVs), which are an intermediate stage in the transition ... -
Design of intelligence-based optimized adaptive fuzzy PID controllers for a two chamber microbial fuel cell
(Wiley, 2022)The output voltage of microbial fuel cells (MFCs) needs to be controlled effectively to improve the operating efficiency of MFC system against the load variations, disturbances, and uncertainties. The output voltage control ... -
Fuzzy Logic Based Sinter RDI Optimization
(Ieee, 2019)The RDI (Reduction Degradation Index) is an important quality criterion of sinter. In this study, a fuzzy logic based model has been developed to obtain the desired RDI value continuously. The expected RDI value for stable ... -
Fuzzy logic-based decision support system for selection of optimum input shaping techniques in point-to-point motion systems
(SAGE Publications, 2021)In this study, a novel fuzzy logic-based decision support system approach to provide assistance in the selection of suitable input shaping techniques is presented. The proposed approach selects the suitable input shaping ... -
A fuzzy logic-based intelligent decision support system for the selection of an appropriate input-shaping technique for controlling flexible link systems
(Taylor and Francis, 2021)Most robotic systems consist of heavy machine elements that help reduce the vibrations generated by motion and that support good positional accuracy. Large-sized actuators are needed for such systems. Energy consumption ... -
Fuzzy self-adaptive PID control technique for driving HHO dry cell systems
(Elsevier, 2020)When the standard operating temperatures are exceeded in hydroxy generators, production performance decreases and power consumption increases. Self-adaptive fuzzy proportional integral derivative systems have been used to ... -
Improved MPPT method to increase accuracy and speed in photovoltaic systems under variable atmospheric conditions
(Elsevier Sci Ltd, 2019)The changes in temperature and radiation cause visible fluctuations in the output power produced by the photovoltaic (PV) panels. It is essential to keep the output voltage of the PV panel at the maximum power point (MPP) ... -
A novel fuzzy logic based safe operation oriented control technique for driving HHO dry cell systems based on PWM duty cycle
(Elsevier, 2019)The presented study provides details on Fuzzy Logic based control of HHO generators aims at protecting the HHO generator from extreme temperature effects while maximizing the hydrogen production. The Fuzzy Logic Controller ... -
Predicting the innovation capability of investment projects using the BIFPET algorithm: A framework and case study
(Academic Publication Council, 2016)This paper proposes a framework based on fuzzy probability for the prediction of innovation capability of an investment project. The prediction of innovation capability is a difficult task due to the fact that there exist ... -
Problem areas of determining the sample size in qualitative research: a model proposal
(Emerald Publishing, 2023)PurposeThe lack of a definite standard for determining the sample size in qualitative research leaves the research process to the initiative of the researcher, and this situation overshadows the scientificity of the research. ... -
Regression-Based Neuro-Fuzzy Network Trained by ABC Algorithm for High-Density Impulse Noise Elimination
(Institute of Electrical and Electronics Engineers Inc., 2020)Salt and pepper (SAP) noise elimination is a crucial step for further image processing and pattern recognition applications. The main aim of this article is to propose a novel SAP noise elimination method which employs a ... -
River Flow Estimation Using Artificial Intelligence and Fuzzy Techniques
(MDPI, 2020)Accurate determination of river flows and variations is used for the efficient use of water resources, the planning of construction of water structures, and preventing flood disasters. However, accurate flow prediction is ...