Search Results - ((selection algorithm) OR (((conversion algorithm) OR (control algorithm))))
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Model predictive control of bidirectional isolated DC-DC converter for energy conversion system
Published 2023“…Cost functions; DC transformers; Electric load flow; Electric power factor; Energy conversion; Energy transfer; High frequency transformers; HVDC power transmission; MATLAB; Model predictive control; Power control; Predictive control systems; Reactive power; Voltage control; Bidirectional DC-DC converters; Bidirectional isolated dc-dc converter; Energy conversion systems; Full-bridge dc-dc converters; Power conversion systems; Predictive control; Predictive control algorithm; Unity power factor; DC-DC converters…”
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Model predictive control of bidirectional isolated DC–DC converter for energy conversion system
Published 2015“…Model predictive control (MPC) is a powerful and emerging control algorithm in the field of power converters and energy conversion systems. …”
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A multi-control vehicle-to-grid charger with bi-directional active and reactive power capabilities for power grid support
Published 2023“…Charging (batteries); DC-DC converters; Electric inverters; Electric power transmission networks; Electric vehicles; Power control; Reactive power; Rectifying circuits; Vehicle-to-grid; Vehicles; Voltage control; Voltage regulators; Active and Reactive Power; Efficient control; Grid voltage controls; Power conversion; Power factor corrections; Reactive power compensation; Selection algorithm; Unity power factor; Electric power system control; accuracy assessment; algorithm; control system; electric vehicle; energy efficiency; operations technology; performance assessment; power generation; scenario analysis…”
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Progress in various TCP variants (February 2009)
Published 2009“…Subsequently, a table derived evaluates TCP variants on the basis of algorithm. We conversed the progress, and evaluated advantages and disadvantages of above TCP variants.…”
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Conference or Workshop Item -
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Modeling of cardiovascular diseases (CVDs) and development of predictive heart risk score
Published 2021“…Further, it focuses on the development of various forms of local risk prediction models and simple heart risk scores using non-laboratory features and machine learning (ML) algorithms. However, the conversion of a complex form of ML algorithms into a simple statistical model is the prime concern. …”
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Modelling and control strategies for hydrokinetic energy harnessing
Published 2020“…Subsequently, the metaheuristic method based on the combination of the Hill-Climbing Search (HCS) MPPT algorithm and the Fuzzy Logic Controller has been proposed to produce a variable step size compared to the fixed step size in conventional HCS algorithm. …”
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A robust modified model predictive control (MMPC) based on Lyapunov function for three-phase active-front-end (AFE) rectifier
Published 2023“…Algorithms; Dynamic response; Electric rectifiers; Lyapunov functions; Lyapunov methods; Model predictive control; Power electronics; Robust control; Robustness (control systems); System stability; Ac-dc power conversion; Active front ends; Modified model; Robustness analysis; Stability analysis; Rectifying circuits…”
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Direct power control method of maximum power point tracking (MPPT) algorithm for Pico-Hydrokinetic River Energy Conversion System
Published 2020“…The design topology consists of the permanent magnet synchronous generator (PMSG), a three-phase bridge rectifier and a DC boost converter. The proposed MPPT algorithm is a combination of modified hill-climbing search algorithm (MHCS) with the current PI-controller. …”
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Book Chapter -
10
Modelling and optimization of catalytic-dielectric barrier discharge plasma reactor for methane and carbon dioxide conversion using hybrid artificial neural network - genetic algorithm technique
Published 2007“…Pareto optimal solutions and the corresponding optimal operating parameter range based on multi-objective scan be suggested for two cases, i.e., simultaneous maximization of CH4 conversion and C2+ selectivity (Case 1), and H-2 selectivity and H-2/CO ratio (Case 2). …”
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Modular motor driver with torque control for gripping mechanism
Published 2023“…In implementing the project, several algorithms were tested to achieve the torque control algorithm requirement including on-off algorithm, P algorithm, PI algorithm, PD algorithm and PID algorithm. …”
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Multi-sources model and control algorithm of an energy management system
Published 2012“…This study’s results suggest that the proposed control algorithm provides an efficient and feasible EMS for LEV.…”
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Enhancing Wearable-Based Human Activity Recognition with Binary Nature-Inspired Optimization Algorithms for Feature Selection
Published 2026“…Conversely, for the PAMAP2 dataset, BDE algorithm displays superior feature selection quality and BPSO algorithm maintains competitive performance and adaptability. …”
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Multi-population kidney-inspired algorithm with migration policy selections for feature selection problems
Published 2025“…Conversely, the second algorithm, coded as AutoMultiPop-KA, adopts an adaptive migration policy selection process that determines migration type based on the average fitness of subpopulations. …”
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Inversed Control Parameter in Whale Optimization Algorithm and Grey Wolf Optimizer for Wrapper-Based Feature Selection: A Comparative Study
Published 2023“…—Whale Optimization Algorithm (WOA) and Grey Wolf Optimizer (GWO) are well-perform metaheuristic algorithms used by various researchers in solving feature selection problems. …”
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Inversed Control Parameter in Whale Optimization Algorithm and Grey Wolf Optimizer for Wrapper-Based Feature Selection: A Comparative Study
Published 2023“…Whale Optimization Algorithm (WOA) and Grey Wolf Optimizer (GWO) are well-perform metaheuristic algorithms used by various researchers in solving feature selection problems. …”
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A decision support system using Neurofuzzy algorithm methods in selecting lecturer's teaching work load for bachelor in multimedia / Asmaa Musa
Published 2007“…There are three steps in designing Neurofuzzy algorithm method. The first step is to understand the physical system, its control requirements and identifies the controller's inputs and outputs. …”
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Adaptive differential evolution algorithm with fitness based selection of parameters and mutation strategies / Rawaa Dawoud Hassan Al-Dabbagh
Published 2015“…The performance of DE algorithm depends heavily on the selected mutation strategy and its associated control parameters. …”
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Fuzzy based BSA optimization for maximum power point tracking controller performance evaluation
Published 2023“…Computer circuits; Controllers; Conversion efficiency; Fuzzy logic; Learning algorithms; Power control; Solar energy; Solar power generation; Vehicle performance; Algorithms optimizations; Backtracking search algorithms; Controller performance; Fuzzy logic control; Fuzzy logic controllers; Maximum Power Point Tracking; Optimization method; Performances evaluation; Power; Tracking controller; Maximum power point trackers…”
Conference Paper -
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Research On Photovoltaic Mppt Control Method Based On Improved Bas Algorithm And Variable Step-Size Inc Method
Published 2024“…MPPT technology for the PV power system is an effective method to improve the efficacy of PV electricity conversion. Commonly used control methods include CVT method, perturbation and observation method, and incremental conductance method. …”
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