Search Results - (( model validation from algorithm ) OR ( based regulation based algorithm ))

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    Hybrid ANN and Artificial Cooperative Search Algorithm to Forecast Short-Term Electricity Price in De-Regulated Electricity Market by Pourdaryaei, Alireza, Mokhlis, Hazlie, Illias, Hazlee Azil, Kaboli, S. Hr. Aghay, Ahmad, Shameem, Ang, Swee Peng

    Published 2019
    “…Smart grid has evolved into a viable platform for participants of electricity market to effectively regulate their bidding strategies based on demand-side management (DSM) models ascribed to its immense technological advancements in recent years. …”
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    Article
  3. 3

    Control of Maximum Power Point Tracking for Stand-Alone Photovoltaic System Using Voltage Comparison Technique by Jamri , Mohd Saifuzam, Anuar , Mohamed Kassim

    Published 2013
    “…This paper proposed the other method to control of maximum power point tracker for stand- alone photovoltaic system using closed-loop voltage mode control algorithm. Approach: The PV module was modeled based on the parameters obtained from a commercial PV data sheet while voltage mode control was modeled using simulink block model. …”
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  4. 4

    PREDICTIVE MAXIMUM POWER POINT TRACKING (MPPT) ALGORITHM FOR PERMANENT EXCHANGE MEMBRANE FUEL CELL (PEMFC) by MOHD RIZZWAN, MINGGU

    Published 2022
    “…A comparison of PEMFC performances based on the proposed technique with other existing MPPT algorithms will be done to validate the algorithm performance. …”
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    Final Year Project Report / IMRAD
  5. 5

    A Voltage Mode Control Maximum Power Point Tracking for Stand-Alone Photovoltaic System by Jamri , Mohd Saifuzam, Anuar , Mohamed Kassim, Mohd Ruzaini, Hashim

    Published 2013
    “…The PV module was modeled based on the parameters obtained from a commercial PV data sheet while voltage mode control was modeled using simulink block model. …”
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    Article
  6. 6

    Homeostatic-inspired controller algorithm for a hybrid-driven autonomous underwater glider by Isa, Khalid

    Published 2015
    “…The controller is able to adapt efficiently to the dynamically changing conditions and is able to compensate the disturbance from water currents. The controller algorithm has been designed based on the human innate control mechanism by integrating three artificial systems: the artificial neural network (ANN), artificial endocrine system (AES), and artificial immune system (AIS). …”
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    Thesis
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    A Voltage Mode Control Maximum Power Point Tracking for Stand-Alone Photovoltaic System by Jamri , Mohd Saifuzam, Anuar , Mohamed Kassim, Mohd Ruzaini, Hashim

    Published 2012
    “…The PV module was modeled based on the parameters obtained from a commercial PV data sheet while voltage mode control was modeled using simulink block model. …”
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    Conference or Workshop Item
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    A centralised multi-objective model predictive control for biventricular assist devices / Vivian Koh Ci Ai by Vivian Koh , Ci Ai

    Published 2020
    “…Firstly, a simple state-space model of the CVS-BiVAD system was required prior to the development of an MPC algorithm. …”
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    Thesis
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    Model predictive current and reactive power control for multilevel four-leg indirect matrix converter / Hazrul Mohamed Basri by Hazrul , Mohamed Basri

    Published 2019
    “…This thesis focused on model-based predictive current control which was applied to indirect matrix converter. …”
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    Thesis
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    DC-link capacitor voltage regulation for three-phase three-level inverter-based shunt active power filter with inverted error deviation control by Yap, Hoon, Mohd Radzi, Mohd Amran, Hassan, Mohd Khair, Mailah, Nashiren Farzilah

    Published 2016
    “…A new control technique known as inverted error deviation (IED) control is incorporated into the main DC-link capacitor voltage regulation algorithm of a three-level neutral-point diode clamped (NPC) inverter-based shunt active power filter (SAPF) to enhance its performance in overall DC-link voltage regulation so as to improve its harmonics mitigation performances. …”
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    Article
  11. 11

    Multi-parametric optimization of aerodynamic performance and pedestrian crash in sedan front-end profiles by Nor Azman, Afzatul Najwa

    Published 2025
    “…A multiobjective optimization framework was developed using computational simulations, mathematical modelling, and evolutionary algorithms. The sedan vehicle models were initially designed using CATIA V5R21 and subsequently imported into ANSYS 2024 Rl for aerodynamic analysis. …”
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    Thesis
  12. 12

    DC-link capacitor voltage regulation with effort-reduction fuzzy logic control for three-level inverter-based shunt active power filter by Mailah, Nashiren Farzilah, Yap, Hoon, Mohd Radzi, Mohd Amran

    Published 2017
    “…This paper presents a fuzzy-based DC-link capacitor voltage regulation algorithm with reduced computational efforts to enhance performance of three-phase three-level neutral-point diode clamped (NPC) inverter-based SAPF in overall DC-link voltage regulation. …”
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    Article
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    Performance investigation and multi-objective optimization of end milling of aluminium alloy 6061 T6 with coated and uncoated carbide tools under various cooling conditions by Syeda Najiha, Masood

    Published 2015
    “…Experimental results show the prospective utilization of water-based TiO2 nanofluid as MQL cooling medium. Comprehensive multi-objective optimization model using genetic algorithm is developed to optimize machining performance measures under different MQL conditions, based on Pareto optimal design approach. …”
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    Thesis
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    Modeling and validation of base pressure for aerodynamic vehicles based on machine learning models by Quadros, Jaimon Dennis, Khan, Sher Afghan, Aabid, Abdul, Baig, Muneer

    Published 2023
    “…In this work, the optimal base pressure is determined using the PCA-BAS-ENN-based algorithm to modify the base pressure presetting accuracy, thereby regulating the base drag required for the smooth flow of aerodynamic vehicles. …”
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    Enhanced control algorithms for multilevel inverter-based shunt active power filter by Hoon, Yap

    Published 2017
    “…Second, overall DC-link voltage of SAPF is still regulated using inaccurate yet slow response control algorithms. …”
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    Thesis
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    An improved marine predators algorithm tuned data-driven multiple-node hormone regulation neuroendocrine-PID controller for multi-input–multi-output gantry crane system by Mohd Zaidi, Mohd Tumari, Mohd Ashraf, Ahmad, Mohd Helmi, Suid, Mohd Riduwan, Ghazali, M Osman, Tokhi

    Published 2023
    “…Comparative findings alongside other existing metaheuristic-based algorithms confirmed excellence of the proposed method through its superior performance against the conventional MPA, particle swarm optimization (PSO), grey wolf optimizer (GWO), moth-flame optimization (MFO), multi-verse optimizer (MVO), sine-cosine algorithm (SCA), salp-swarm algorithm (SSA), slime mould algorithm (SMA), flow direction algorithm (FDA), and the formally published adaptive safe experimentation dynamics (ASED)-based methods.…”
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    Fast and optimal tuning of fractional order PID controller for AVR system based on memorizable-smoothed functional algorithm by Ren Hao, Mok, Ahmad, Mohd Ashraf

    Published 2022
    “…Nevertheless, many existing optimization tools for tuning the FOPID controller, which are based on multi-agent based optimization, require large number of function evaluation in their algorithm that could lead to high computational burden. …”
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    Data driven neuroendocrine pid controller for mimo plants based adaptive safe experimentation dynamics algorithm by Mohd Riduwan, Ghazali

    Published 2020
    “…The performance of PID and NEPID controllers was compared with those of SbSR-NEPID and MnHR-NEPID performances based on error and input tracking. The results show that the ASED- and SED-based methods produced stable convergence. …”
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    Thesis
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    Optimized PID controller of DC-DC buck converter based on archimedes optimization algorithm by Ling, Kuok Fong, Islam, Muhammad Shafiqul, Mohd Ashraf, Ahmad

    Published 2023
    “…For robust performance, the PID controller necessitates optimal gain settings, attainable through metaheuristic optimization. The algorithm aids in identifying ideal proportional, integral, and derivative gains based on varying load conditions. …”
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    Analysis of Toothbrush Rig Parameter Estimation Using Different Model Orders in Real Coded Genetic Algorithm (RCGA) by Ainul, H. M. Y., Salleh, S. M., Halib, N., Taib, H., Fathi, M. S.

    Published 2024
    “…The validation test-through correlation analysis was used to validate the model. …”
    Article