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    Control algorithm for two-tank system using multiparametric programming by Zakaria, A., Mid, E.C., Mohamed, M.F., Hussin, M.H.M., Shaari, A.S., Ruslan, Eliyana, Hadi, Dayanasari, Masri, M.

    Published 2023
    “…This study proposes a control algorithm for a two-tank system based on multiparametric programming. …”
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    Conference or Workshop Item
  3. 3

    CAR TRACTION CONTROL SYSTEM by MOHD ISMAIL, ADIBAH

    Published 2007
    “…This project explores the potential of implementing fuzzy logic algorithm for traction control system using VHDL. …”
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    Final Year Project
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    DC motor control using LQR algorithm by Adezeno, Sagoli Olid

    Published 2008
    “…The LQR controller will act as a benchmark for the algorithm performance of the overall control system.…”
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    Undergraduates Project Papers
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    Implementation of repetitive control algorithm in reducing vibration using MATLAB/SIMULINK / Mohamad Zuhairy Mohamed by Mohamed, Mohamad Zuhairy

    Published 2008
    “…However the repetitive controller can be implementing to the real system such as “smart spring”. …”
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    Student Project
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    Real-time implementation of H∞ controller for UAV helicopter using MATLAB-based embedded programming approach by Tijani, Ismaila, Akmeliawati, Rini, Legowo, Ari

    Published 2015
    “…The design and deployment of an H∞ based flight control algorithm onto an embedded target is presented for a small scale unmanned helicopter system. …”
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    Proceeding Paper
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    Design and implementation of an optimal fuzzy logic controller using genetic algorithm by Khan, Sheroz, Abdulazeez, Salami Femi, Adetunji, Lawal Wahab, Alam, A. H. M. Zahirul, Salami, Momoh Jimoh Emiyoka, Hameed, Shihab A., Hassan Abdalla Hashim, Aisha, Islam, Mohd Rafiqul

    Published 2008
    “…Simulated results were verified by programming the PIC16F877A microcontroller with the algorithm and using it on a temperature control system where a fan was regulated in response to variations in the ambient system temperature. …”
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    Article
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    Design and implementation of an optimal fuzzy logic controller using egentic algorithm by Abdulazeez, Salami Femi, Adetunji, Lawal Wahab, Khan, Sheroz, Alam, A. H. M. Zahirul, Salami, Momoh Jimoh Emiyoka, Hameed, Shihab A., Hassan Abdalla Hashim, Aisha, Islam, Md. Rafiqul

    Published 2011
    “…The devised solution is softwllrebased which employs an algorithmic approach for programming II PICI6F877A microcontroller, thus eliminating allogether the parametric dependence issues while adding the benefits of easier modification to suit a given control system for varying operational conditions_ The approach is first simulated using MATLAB/and the simulated results are verified by programming {he PICI6I'g77A mierocontrolter with {he algorithm and using it on a temperature control system where a fan is regulated in response to variations in the ambient system temperature. …”
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    Book Chapter
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    Modular motor driver with torque control for gripping mechanism by How D.N.T., Baharuddin M.Z., Mohideen S.S.K., Sahari K.S.M., Anuar A.

    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. …”
    Conference paper
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    Optimization Of Fuzzy Logic Controllers With Genetic Algorithm For Two-Part-Type And Re-Entrant Production Systems by Homayouni, Seyed Mahdi

    Published 2008
    “…The GA module is programmed in MATLAB® software. The performance of each GDF or GSF controllers in controlling the production system model is evaluated using Simulink® software. …”
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    Thesis
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    MOTION PLANNING ALGORITHM FOR VEHICLE PARKING SIMULATION by Mohd Hilmi, Amirul Ehsan

    Published 2008
    “…The system controls the vehicle based on the vehicle and the target parking space coordinates. …”
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    Final Year Project
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    Modification of a commercial PWM sprayer control system for precision farming application by Shahemabadi, Ali Rafiei, Moayed, Majid Javid

    Published 2008
    “…The variable-rate control system consisted of pulse width modulation (PWM) solenoids, a by pass control valve, and nozzle control system interfaced to a computer. …”
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    Conference or Workshop Item
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    Modelling and optimisation of blood glucose control for type 1 diabetes using multi-parametric programming and model-based predictive control (mp-MPC) / Associate Professor Dr Ayub... by Md. Som, Ayub

    Published 2014
    “…In doing so, Multi-Parametric Programming technique is used to develop the computer algorithm; whereas Model-Based Predictive Control (MPC) is adopted for the design of the controller. …”
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    Monograph
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    PIC-Based Controller for IGBT Inverter for 3-Phase Motor Drive by SUSETYO, BIANLALA

    Published 2011
    “…The controller, based on Microchip PIC, needs to be programmed with the commutation algorithm and control strategy.…”
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    Final Year Project
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    Firefly algorithm for optimal sizing of Standalone Photovoltaic System / Nurizzati Abdul Aziz by Abdul Aziz, Nurizzati

    Published 2016
    “…Besides that, two design cases of PV-battery system, i.e. system with standard charge controller and system with MPPT-based charge controller were investigated. …”
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    Thesis
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    Firefly algorithm for optimal sizing of stand-alone photovoltaic system / Nur Izzati Abdul Aziz by Abdul Aziz, Nur Izzati

    Published 2016
    “…Besides that, two design cases of PV-battery system, i.e. system with standard charge controller and system with MPPT-based charge controller were investigated. …”
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    Thesis
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    Sampling-based online motion planning for mobile robots: utilization of Tabu search and adaptive neuro-fuzzy inference system by Khaksar W., Hong T.S., Sahari K.S.M., Khaksar M., Torresen J.

    Published 2023
    “…Adaptive control systems; Controllers; Fuzzy neural networks; Fuzzy systems; Motion planning; Robot programming; Robots; Tabu search; Adaptive neuro fuzzy inference systems (ANFIS); Adaptive neuro-fuzzy inference system; ANFIS; Fuzzy controllers; Motion planning algorithms; Sampling-based algorithms; Sampling-based motion planning; Unknown environments; Fuzzy inference…”
    Article