Search Results - (( using optimisation based algorithm ) OR ( parameter simulation model algorithm ))

Search alternatives:

Refine Results
  1. 1
    Augmented model based double iterative loop techniques for integrated system optimisation and parameter estimation of large scale industrial processes

    Augmented model based double iterative loop techniques for integrated system optimisation and parameter estimation of large scale industrial processes by Normah Abdullah, Brdys, M.A., Roberts, P.D.

    Published 1993
    “…The double iterative loop structures of the proposed algorithms use the real process measurement within the outer loops while the inner loops involve model based computation only. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  2. 2
    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 Md. Som

    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
    “…AU simulation and optimisation works are carried out using gPROMS™. …”
    Get full text
    Get full text
    Monograph
    Save to List
    Saved in:
  3. 3
    Optimisation of laser cutting parameters of oil palm wood / Harizam Mohd Zin

    Optimisation of laser cutting parameters of oil palm wood / Harizam Mohd Zin by Harizam, Mohd Zin

    Published 2013
    “…The simulation results showed that the developed GA-Taguchi ANN model managed to reduce the maximum prediction error below 10%. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  4. 4
    Optimisation of fed-batch fermentation process using deep reinforcement learning

    Optimisation of fed-batch fermentation process using deep reinforcement learning by Chai, Wan Ying

    Published 2023
    “…The kinetic and dynamic behaviour of the fed-batch baker’s yeast fermentation was simulated and modelled using MATLAB, with no experimental work carried out. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  5. 5
    PID-based control of a single-link flexible manipulator in vertical motion with genetic optimisation

    PID-based control of a single-link flexible manipulator in vertical motion with genetic optimisation by Md Zain, Badrul Aisham, Tokhi, M. Osman, Toha, Siti Fauziah

    Published 2009
    “…This paper presents an investigation into dynamic simulation and controller optimization based on genetic algorithms (GAs) for a single-link flexible manipulator system in vertical plane motion. …”
    Get full text
    Get full text
    Get full text
    Proceeding Paper
    Save to List
    Saved in:
  6. 6
    Efficient task scheduling strategies using symbiotic organisms search algorithm for cloud computing environment

    Efficient task scheduling strategies using symbiotic organisms search algorithm for cloud computing environment by Sa'ad, Suleiman

    Published 2022
    “…The SOS and its variants Discrete Symbiotic Organisms Search (DSOS) algorithm have been used to solve different optimisation problems including tasks scheduling in cloud computing environment where results obtained are promising in comparison with stateof- the-art metaheuristic algorithms. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  7. 7
    Sensorless Adaptive Fuzzy Logic Control Of Permanent Magnet Synchronous Motor

    Sensorless Adaptive Fuzzy Logic Control Of Permanent Magnet Synchronous Motor by Hafz Nour, Mutasim Ibrahim

    Published 2008
    “…The design and optimisation of the FLC are carried out using an adaptive fuzzy inference system network that uses the backpropagation, least square and gradient algorithms. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  8. 8
    Ocean Colour Remote Sensing Of Case 2 Waters Using An Optimised Neural Network

    Ocean Colour Remote Sensing Of Case 2 Waters Using An Optimised Neural Network by Anwar, Saumi Syahreza

    Published 2016
    “…The NN model architecture and training parameters were optimised, with inputs being selected based correlation analysis (CA) and principal component analysis (PCA). …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  9. 9
    Evolutionary low frequency steering vibration control towards human spine

    Evolutionary low frequency steering vibration control towards human spine by Toha, Siti Fauziah

    Published 2014
    “…PSO falls under the umbrella of evolutionary algorithms which is used to optimise and tune the PID controller parameters (Kp, Ki and Kd) based on a predefined performance index. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Get full text
    Proceeding Paper
    Save to List
    Saved in:
  10. 10
    Modelling and calibration of high-pressure direct injection compressed natural gas engine

    Modelling and calibration of high-pressure direct injection compressed natural gas engine by Mohd Fadzil, Abdul Rahim

    Published 2021
    “…The MBC procedure was carried out by using the MBC Toolbox of Matlab. The calibration framework consists of the development of the data-driven model by using ANN and ECU parameters optimisation by using GA. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  11. 11
    Control of an underactuated double-pendulum overhead crane using improved model reference command shaping: Design, simulation and experiment

    Control of an underactuated double-pendulum overhead crane using improved model reference command shaping: Design, simulation and experiment by Jaafar H.I., Mohamed Z., Ahmad M.A., Wahab N.A., Liyana Ramli, Shaheed M.H.

    Published 2024
    journal::journal article
    Save to List
    Saved in:
  12. 12
    A new history matching sensitivity analysis framework with random forests and Plackett-Burman design

    A new history matching sensitivity analysis framework with random forests and Plackett-Burman design by Aulia, A., Jeong, D., Mohd Saaid, I., Shuker, M.T., El-Khatib, N.A.

    Published 2017
    “…This model is used to rank the importance of each history matching parameter. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  13. 13
    Design and development of fanger model and fuzzy logic based controller for air conditioners

    Design and development of fanger model and fuzzy logic based controller for air conditioners by Kee, Keh-Kim, Angelo Emanuel Robin, Pao, William K.S

    Published 2019
    “…To validate the performance of the proposed model, the results from both microcontroller prototype and MATLAB simulation are compared for validation purpose. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  14. 14
    Energy and cost integration model for multi-objective optimisation in turning process of stainless steel 316

    Energy and cost integration model for multi-objective optimisation in turning process of stainless steel 316 by Bagaber, Salem Salah Abdullah

    Published 2019
    “…Analysis of variance and the regression model was used to analyze the machining parameters and responses. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  15. 15
    Modelling and Control of Ankle Foot Orthosis (AFO) for Children Utilising Soft Computing Towards Intelligent Approach

    Modelling and Control of Ankle Foot Orthosis (AFO) for Children Utilising Soft Computing Towards Intelligent Approach by Aida Suriana, Abdul Razak

    Published 2024
    “…The PID controllers were tuned automatically by the PSO algorithm based on the same identified models. The performance of both developed controllers was compared and analyzed. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  16. 16
    Optimal PI controller based PSO optimization for PV inverter using SPWM techniques

    Optimal PI controller based PSO optimization for PV inverter using SPWM techniques by Abdolrasol M.G.M., Hannan M.A., Hussain S.M.S., Ustun T.S.

    Published 2023
    Article
    Save to List
    Saved in:
  17. 17
    A review of perovskite solar cell (PSC) : Its revolution and mathematical modelling

    A review of perovskite solar cell (PSC) : Its revolution and mathematical modelling by Yao, Lee Jin, Rahifa, Ranom, Kyairul Azmi, Baharin, Norhafizah, Md Sarif

    Published 2023
    “…This paper also summarizes the numerical algorithms and modelling simulations used such as SCAPS, AFORS-HET, COMSOL Multiphysics, MATLAB to evaluate PSC model performance. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  18. 18
    A smart handover strategy for 5G mmWave dual connectivity networks

    A smart handover strategy for 5G mmWave dual connectivity networks by Abdullah, Nor Fadzilah, Gannapathy, Vigneswara Rao, Nordin, Rosdiadee, Abu-Samah, Asma

    Published 2023
    “…The developed algorithm underwent testing using a 5G mmWave statistical channel model that emulates a dynamic channel matrix, including fading and the Doppler effect. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  19. 19
    Artificial Bee Colony algorithm in estimating kinetic parameters for yeast fermentation pathway

    Artificial Bee Colony algorithm in estimating kinetic parameters for yeast fermentation pathway by Ahmad Muhaimin, Ismail, Muhammad Akmal, Remli, Yee Wen, Choon, Nurul Athirah, Nasarudin, Norsyahidatul Nazirah, Ismail, Mohd Arfian, Ismail, Mohd Saberi, Mohamad

    Published 2023
    “…Fitting the simulated model into the experimental data is categorized under the parameter estimation problem. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  20. 20
    Intergrated multi-objective optimisation of assembly sequence planning and assembly line balancing using particle swarm optimisation

    Intergrated multi-objective optimisation of assembly sequence planning and assembly line balancing using particle swarm optimisation by M. F. F., Ab Rashid

    Published 2013
    “…The aim of this research is to establish a methodology and algorithm for integrating ASP and ALB optimisation using Particle Swarm Optimisation. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:

Search Tools: