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  1. 1
    A Framework for Green Energy Resources Identification and Integration Supported by Real-Time Monitoring, Control, and Automation Applications

    A Framework for Green Energy Resources Identification and Integration Supported by Real-Time Monitoring, Control, and Automation Applications by Far Chen, Jong

    Published 2025
    “…Additionally, an Industrial Internet of Things-based system utilizing servers, cloud platforms, and Supervisory Control and Data Acquisition systems was developed for real-time monitoring, control, and automation to address green energy intermittency. …”
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  2. 2
    Modular motor driver with torque control for gripping mechanism

    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
    “…These graphical outputs of the controller was evaluated based on the response time, degree of overshooting, and steady-state error to determine the most optimal method of control to be implemented in torque control scheme. …”
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  3. 3
    Optimization Of Fuzzy Logic Controllers With Genetic Algorithm For Two-Part-Type And Re-Entrant Production Systems

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

    Published 2008
    “…The performance indices are used as chromosomes ranking criteria. The optimized GDF and GSF can be used in real implementations. …”
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  4. 4
    Automatic generation of neural game controller using single and bi-objective evolutionary optimization algorithms for RTS Game

    Automatic generation of neural game controller using single and bi-objective evolutionary optimization algorithms for RTS Game by Chang, Kee Tong

    Published 2015
    “…In the last experiment, the results showed that DE and EP algorithms can generate superior controllers whilst PDE is only capable to generate sub-optimal controllers. …”
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  5. 5
    An evaluation of Monte Carlo-based hyper-heuristic for interaction testing of industrial embedded software applications.

    An evaluation of Monte Carlo-based hyper-heuristic for interaction testing of industrial embedded software applications. by S. Ahmed, Bestoun, Enoiu, Eduard, Afzal, Wasif, Kamal Z., Zamli

    Published 2020
    “…Hyper-heuristic is a new methodology for the adaptive hybridization of meta-heuristic algorithms to derive a general algorithm for solving optimization problems. …”
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  6. 6
    Deep Reinforcement Learning For Control

    Deep Reinforcement Learning For Control by Bakar, Nurul Asyikin Abu

    Published 2021
    “…To generate the visual simulation in the simulator, the Python programming language is employed. The improved algorithm will help encourage the real-world implementation of DRL in many autonomous driving applications.…”
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  7. 7
    Hybrid meta-heuristic algorithm for solving multi-objective aggregate production planning in fuzzy environment

    Hybrid meta-heuristic algorithm for solving multi-objective aggregate production planning in fuzzy environment by Kalaf, Kalaf, Bayda Atiya

    Published 2017
    “…Finally, the proposed approach was implemented in a real-world problem for Baghdad Soft Drinks Company to automate their APP. …”
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  8. 8
    Membership function model for defining optimality of vapor pressure deficit in closed-field cultivation of tomato

    Membership function model for defining optimality of vapor pressure deficit in closed-field cultivation of tomato by Shamshiri, Ramin, Che Man, Hasfalina, Zakaria, Abd Jamil, Beveren, Peter van, Wan Ismail, Wan Ishak, Ahmad, Desa

    Published 2016
    “…An incremental algorithm was written in MATLAB© based on definitive concepts in VPD equations and the GR model. …”
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  9. 9
    Solving power system state estimation using orthogonal decomposition algorithm / Tey Siew Kian

    Solving power system state estimation using orthogonal decomposition algorithm / Tey Siew Kian by Tey, Siew Kian

    Published 2009
    “…This optimal state estimate and corrected data base are then used by the security monitoring and operation and control functions of the center.Most state estimation programs in practical use are formulated as overdetermined systems (Pozrikidis, 2008) of nonlinear equations and solved as weighted least square problems (refer to section 2.1.1).This research involves finding the least squares solution of the power system state estimation problem, HTR-1HDx = HTR-1 [z - f (x)] (refer to section 2.3.1) and to develop a program to implement the said algorithm. …”
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  10. 10
    Integrated optimal control and parameter estimation algorithms for discrete-time nonlinear stochastic dynamical systems

    Integrated optimal control and parameter estimation algorithms for discrete-time nonlinear stochastic dynamical systems by Kek, Sie Long

    Published 2011
    “…Instead of solving the original optimal control problem, the model-based optimal control problem is solved. …”
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  11. 11
    Optimized PID controller of DC-DC buck converter based on archimedes optimization algorithm

    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
    “…The proposed PID controller, optimized using AOA, is contrasted with PID controllers tuned via alternative algorithms including the hybrid Nelder-Mead method (AEONM), artificial ecosystem-based optimization (AEO), differential evolution (DE), and particle swarm optimizer (PSO). …”
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  12. 12
    Real-time implementation of H∞ controller for UAV helicopter using MATLAB-based embedded programming approach

    Real-time implementation of H∞ controller for UAV helicopter using MATLAB-based embedded programming approach by Tijani, Ismaila, Akmeliawati, Rini, Legowo, Ari

    Published 2015
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  13. 13
    Harmony search-based robust optimal controller with prior defined structure

    Harmony search-based robust optimal controller with prior defined structure by Rafieishahemabadi, Ali

    Published 2013
    “…However, the harmony search-based robust optimal controller (HSRO) controller is superior to Hi; PID based on PSO controller when a different controller structure is needed. …”
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  14. 14
    Particle swarm optimization and spiral dynamic algorithm-based interval type-2 fuzzy logic control of triple-link inverted pendulum system : a comparative assessment

    Particle swarm optimization and spiral dynamic algorithm-based interval type-2 fuzzy logic control of triple-link inverted pendulum system : a comparative assessment by M. F., Masrom, N. M. A., Ghani, M. O., Tokhi

    Published 2021
    “…It is shown that the particle swarm optimization-based control mechanism performs better than the spiral dynamic algorithm-based control in terms of system stability, disturbance rejection and reduce noise. …”
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  15. 15
    Implementation of Real-time Simple Edge Detection on FPGA

    Implementation of Real-time Simple Edge Detection on FPGA by Mohd Shukor, Mohd Nasir, Lo, H. H., Sebastian , Patrick

    Published 2005
    “…The resulting edge detection images showed that a simple edge detection algorithm was implemented on Cyclone II FPGA for real-time image processing.…”
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  16. 16
    Scheduling controller for microgrids energy management system using optimization algorithm in achieving cost saving and emission reduction

    Scheduling controller for microgrids energy management system using optimization algorithm in achieving cost saving and emission reduction by Roslan M.F., Hannan M.A., Jern Ker P., Begum R.A., Indra Mahlia T.M., Dong Z.Y.

    Published 2023
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  17. 17
    BBO algorithm-based tuning of PID controller for speed control of synchronous machine

    BBO algorithm-based tuning of PID controller for speed control of synchronous machine by Kasilingam G., Pasupuleti J.

    Published 2023
    “…Algorithms; Circuit oscillations; Controllers; Ecology; Electric control equipment; Electric power system control; Heuristic algorithms; MATLAB; Optimization; Particle swarm optimization (PSO); Power control; Synchronous machinery; Three term control systems; Tuning; Two term control systems; Adaptation law; Biogeography-based optimization algorithms; Biogeographybased optimizations (BBO); Electromechanical oscilla-tions; PID controllers; Power System Stabilizer; Proportional integral derivative controllers; Single machine infinite bus system; Proportional control systems…”
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  18. 18
    Needleman wunsch implementation for SPAM/UCE inline filter

    Needleman wunsch implementation for SPAM/UCE inline filter by Tamil E.M., Idris M.Y.I., Thong C.M., Jali M.Z., Madihah Mohd Saudi

    Published 2024
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  19. 19
    Design of PSO-based Fuzzy Logic Controller for single Axis Magnetic Levitation System.

    Design of PSO-based Fuzzy Logic Controller for single Axis Magnetic Levitation System. by Sulaiman, Nasri, Marhaban, Mohammad Hamiruce, Raja Ahmad, Raja Mohd Kamil, Hussein, Basheer Noaman

    Published 2011
    “…Finally, the FLC is based on the PSO algorithm to find the optimal range and shape of the four linguistic membership functions (FLC2 with PSO algorithm). …”
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  20. 20
    Data-Driven control based on marine predators algorithm for optimal tuning of the wind plant

    Data-Driven control based on marine predators algorithm for optimal tuning of the wind plant by Mohd Zaidi, Mohd Tumari, Mohd Ashraf, Ahmad, Mohd Helmi, Suid, Mohd Riduwan, Ghazali

    Published 2022
    “…Comparative results alongside other existing metaheuristic-based algorithms further confirmed excellence of the proposed method through its superior performance against the slime mould algorithm (SMA), multi-verse optimizer (MVO), sine-cosine algorithm (SCA), grey wolf optimizer (GWO), and safe experimentation dynamics (SED) algorithm.…”
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