Search Results - (( model application a algorithm ) OR ( panel identification based algorithm ))
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System identification of a solar maximum power point tracking system for dual axis / Thomas Davion, Noorazlina Mohamid Salih and Mohd Shahrizan Mohd Said
Published 2019“…The project is on Maximum efficiency of a solar panel. As the sun is not constant at one place and by fixing the solar array at a place, maximum power generation is not possible. …”
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Optimizing solar streetlight systems for sustainable urban and community development
Published 2025“…Additionally, a smart LED control algorithm was developed to minimize energy consumption by dynamically adjusting light output based on demand and availability of stored energy. …”
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Fault-tolerant power extraction strategy for photovoltaic energy systems
Published 2018“…The objective of this study is to propose a fault-tolerant control (FTC) strategy to detect the presence of abnormal operating conditions and reconfigure the MPPT procedure to search for the new suboptimal operating point. The FDI method is based on monitoring the PV panel generated power for the presence of abrupt changes; the MPPT reconfiguration is based on a combination between Incremental Conductance (IncCond) Algorithm and an Improved Current-based Particle Swarm Optimization (ICPSO) tracking technique. …”
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Orthogonal least square algorithm and its application for modelling suspension system
Published 2001“…The derivation of the algorithm is presented and its application to the modelling of a car suspension system is included to demonstrate the effectiveness of the algorithm.…”
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Model structure selection for a discrete-time non-linear system using genetic algorithm
Published 2004“…First the effect of different combinations of GA operators on the performance of the model developed is studied. A proposed algorithm called modified GA, or MGA, is presented and a comparison between a simple GA and a modified GA is carried out. …”
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Real time nonlinear filtered-x lms algorithm for active noise control
Published 2012“…The NLFXLMS algorithm is a stochastic gradient algorithm that incorporates the derivative of a nonlinear plant model which is represented by the scaled error function (SEF) in the controller design. …”
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Model structure selection for a discrete-time non-linear system using a genetic algorithm
Published 2004“…First the effect of different combinations of GA operators on the performance of the model developed is studied. A proposed algorithm called modified GA, or MGA, is presented and a comparison between a simple GA and a modified GA is carried out. …”
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Model structure selection for a discrete-time non-linear system using a genetic algorithm
Published 2004“…First the effect of different combinations of GA operators on the performance of the model developed is studied. A proposed algorithm called modified GA, or MGA, is presented and a comparison between a simple GA and a modified GA is carried out. …”
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Adaptive Spiral Dynamics Metaheuristic Algorithm for Global Optimisation with Application to Modelling of a Flexible System
Published 2016“…This paper presents a nature-inspired metaheuristic algorithm namely linear adaptive spiral dynamics algorithm (LASDA) and its application to modelling of a flexible system. …”
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SURE-Autometrics algorithm for model selection in multiple equations
Published 2016“…However, most model selection algorithms such as Autometrics only concentrate on single equation modelling which has limited application. …”
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Hybrid DE-PEM algorithm for identification of UAV helicopter
Published 2014“…Originality/value – This study presents a novel hybrid algorithm for system identification of an autonomous helicopter model.…”
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An Improved Spiral Dynamic Optimization Algorithm with Engineering Application
Published 2015“…This paper presents the development of an improved spiral dynamic optimization algorithm with application to nonparametric fuzzy logic modeling of a twin rotor system (TRS). …”
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Assessing the simulation performances of multiple model selection algorithm
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Optimisation of Environmental Risk Assessment Architecture using Artificial Intelligence Techniques
Published 2024“…Fuzzy arithmetic operations on fuzzy numbers and artificial neural networks with a back-propagation learning algorithm were used to represent the structure of the neuro-fuzzy risk assessment model, whereas genetic algorithms were used to develop the safe path selection model. …”
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