Search Results - (( model application based algorithm ) OR ( _ identification system algorithm ))

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  1. 1

    Hybrid DE-PEM algorithm for identification of UAV helicopter by Tijani, Ismaila, Akmeliawati, Rini, Legowo, Ari, Budiyono, Agus, Abdul Muthalif, Asan Gani

    Published 2014
    “…Originality/value – This study presents a novel hybrid algorithm for system identification of an autonomous helicopter model.…”
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    Article
  2. 2

    Application of memetic algorithm in modelling discrete-time multivariable dynamics systems by Ahmad, Robiah, Jamaluddin, Hishamuddin, Hussain, Mohd. Azlan

    Published 2008
    “…Evolutionary algorithm (EA) such as genetic algorithm (GA) has demonstrated to be an effective method for identification of single-input–single-output (SISO) system. …”
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  3. 3

    Recursive Subspace Identification Algorithm Using The Propagator Based Method by Jamaludin, Irma Wani, Abdul Wahab, Norhaliza

    Published 2017
    “…In industrial applications, it is essential to have online recursive subspace algorithms for model identification where the parameters can vary in time. …”
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  4. 4

    Simultaneous Computation of Model Order and Parameter Estimation for System Identification Based on Gravitational Search Algorithm by Kamil Zakwan, Mohd Azmi, Pebrianti, Dwi, Zuwairie, Ibrahim, Shahdan, Sudin, Sophan Wahyudi, Nawawi

    Published 2015
    “…System identification is a technique used to obtain a mathematical model of a system by performing analysis of input-output characteristic of the system. …”
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    Conference or Workshop Item
  5. 5

    Identification of non-linear dynamic systems using fuzzy system with constrained membership functions by Yaakob, Mohd. Shafiek

    Published 2004
    “…Main research directions in this field include the complexity reduction of fuzzy models models, structure identification of fuzzy system, and application of new or improved training algorithms. …”
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    Thesis
  6. 6

    Orthogonal least square algorithm and its application for modelling suspension system by Ahmad, Robiah, Jamaluddin, Hishamuddin

    Published 2001
    “…Modelling based on input and output data is known as system identification. …”
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  7. 7

    Application of memetic algorithm in modelling discrete-time multivariable dynamics systems by Ahmad, R., Jamaluddin, H., Hussain, Mohd Azlan

    Published 2008
    “…Evolutionary algorithm (EA) such as genetic algorithm (GA) has demonstrated to be an effective method for identification of single-input-single-output (SISO) system. …”
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    Article
  8. 8

    Identification of continuous-time hammerstein system using sine cosine algorithm by E. F., Junis, J. J., Jui, Mohd Helmi, Suid, Mohd Ashraf, Ahmad

    Published 2019
    “…This paper presents the development of identification of continuous-time Hammerstein systems based on Sine Cosine Algorithm (SCA). …”
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    Conference or Workshop Item
  9. 9

    Nonlinear identification of a small scale unmanned helicopter using optimized NARX network with multiobjective differential evolution by Tijani, Ismaila B., Akmeliawati, Rini, Legowo, Ari, Budiyono, Agus

    Published 2014
    “…Apart from the effectiveness of the optimized model, the proposed design algorithm is expected to facilitate timely development of the nonparametric model of the helicopter system.…”
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  10. 10

    Opposition- based simulated kalman filters and their application in system identification by Kamil Zakwan, Mohd Azmi

    Published 2017
    “…The COOBSKF also has been compared with five other optimization algorithms and outperforms them all. Besides that, this thesis also presents the application of COOBSKF in a system identification problem. …”
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    Thesis
  11. 11

    System identification of parameterized state-space model of a small scale UAV helicopter by Ismaila B., Tijani, Akmeliawati, Rini, Legowo, Ari

    Published 2012
    “…The approach was able to yield satisfactory model suitable for model-based ight control design.…”
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    Proceeding Paper
  12. 12
  13. 13

    Identification of continuous-time model of hammerstein system using modified multi-verse optimizer by Most. Julakha, Jahan Jui

    Published 2021
    “…his thesis implements a novel nature-inspired metaheuristic optimization algorithm, namely the modified Multi-Verse Optimizer (mMVO) algorithm, to identify the continuous-time model of Hammerstein system. …”
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    Thesis
  14. 14

    NARX modelling for steam distillation pilot plant using binary particle swarm optimisation technique / Najidah Hambali by Hambali, Najidah

    Published 2019
    “…A system identification in control engineering field is a mathematical model based on dynamic properties of the system. …”
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    Thesis
  15. 15

    Wavelet network based online sequential extreme learning machine for dynamic system modeling by Mohammed Salih, Dhiadeen, Mohd Noor, Samsul Bahari, Marhaban, Mohammad Hamiruce, Raja Ahmad, Raja Mohd Kamil

    Published 2013
    “…Wavelet network (WN) has been introduced in many applications of dynamic systems modeling with different learning algorithms. …”
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    Conference or Workshop Item
  16. 16

    Comparative study between ARX and ARMAX system identification by Piltan, Farzin, TayebiHaghighi, Shahnaz, Sulaiman, Nasri

    Published 2017
    “…To solve this challenge conventional and intelligent identification are recommended. System identification is divided into different algorithms. …”
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    Article
  17. 17

    Identification of continuous-time hammerstein model using improved archimedes optimization algorithm by Islam, Muhammad Shafiqul, Mohd Ashraf, Ahmad, Cho, Bo Wen

    Published 2024
    “…Therefore, this article identified various continuous-time Hammerstein models based on an improved Archimedes optimization algorithm (IAOA) to address these concerns. …”
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  18. 18

    MULTIVARIABLE CLOSED-LOOP SYSTEM IDENTIFICATION USING ITERATIVE LEAKY LEAST MEAN SQUARES METHOD by MOHAMED OSMAN, MOHAMED ABDELRAHIM

    Published 2017
    “…In this thesis. iterative Leaky Least Mean Squares (LLMS) based methods are proposed to address the limitations ofLS method in MultiInput Multi-Output (MIMO) closed-loop system identification. In this research. novel algorithms have been developed to: (I) isolate the less interacting channe Is using a modified partial correlation algorithm. (2) achieve unbiased and consistent parameter estimates using an iterative LLMS algorithm and (3) develop parsimonious models for closed-loop MIMO systems. …”
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    Thesis
  19. 19

    System identification of hammerstein model a quarter car passive suspension systems using Multilayer Perceptron Neural Networks (MPNN) by Hanafi, Dirman, Rahmat, Mohd. Fua'ad

    Published 2005
    “…The Networks Structure Is Based On System Model. The Network Learning Algorithm Is Based On Fisher’s Scoring Method. …”
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  20. 20

    Simultaneous Computation of Model Order and Parameter Estimation of a Heating System Based on Gravitational Search Algorithm for Autoregressive with Exogenous Inputs by Kamil Zakwan, Mohd Azmi, Zuwairie, Ibrahim, Pebrianti, Dwi, Sophan Wahyudi, Nawawi, Nor Azlina, Ab. Aziz

    Published 2015
    “…System identification is a class of control system engineering that determines physical functionality of a plant and represents them in the form of mathematical expression by utilizing real experimental data. …”
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    Article