Search Results - (( development linear control algorithm ) OR ( java data optimization algorithm ))

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  1. 1

    Fuzzy modeling using Bat Algorithm optimization for classification by Noor Amidah, Ahmad Sultan

    Published 2018
    “…A Sazonov Engine which is a fuzzy java engine is use to apply Bat Algorithm in the experiment. …”
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    Undergraduates Project Papers
  2. 2

    Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection by Nwogbaga, Nweso Emmanuel, Latip, Rohaya, Affendey, Lilly Suriani, Abdul Rahiman, Amir Rizaan

    Published 2022
    “…Therefore, in this paper, we proposed Dynamic tasks scheduling algorithm based on attribute reduction with an enhanced hybrid Genetic Algorithm and Particle Swarm Optimization for optimal device selection. …”
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    Article
  3. 3

    Motion control algorithm development and testing for a free-piston engine generator by Hanipah, M. Razali

    “…This research aims objectives to construct simulation model of a free-piston linear generator for piston motion control algorithm development and testing on a linear actuators prototype. …”
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    Research Report
  4. 4

    Nlfxlms and thf-nlfxlms algorithms for wiener-hammerstein nonlinear active noise control by Srazhidinov, Radik

    Published 2016
    “…Filtered-X least mean square (FXLMS) control algorithm is a conventional algorithm employed to cancel the noise in linear environment. …”
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    Thesis
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    Real time nonlinear filtered-x lms algorithm for active noise control by Sahib, Mouayad Abdulredha

    Published 2012
    “…The performance of these algorithms is usually compared with the standard linear filtered-x least mean square (FXLMS) algorithm. …”
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    Thesis
  10. 10

    Formulation of model predictive control algorithm for nonlinear processes by Mohd. Yusof, Khairiyah, Hassim, Mimi Haryani, Tan, Sook Li, Ab. Rashid, Siti Rafidah

    Published 2004
    “…It is the sole selection although many other sophisticated control algorithms have been developed largely because it is able to deliver satisfactory performance for most control problems when properly tuned and installed. …”
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    Monograph
  11. 11

    A random search based effective algorithm for pairwise test data generation by Sabira, Khatun, K. F., Rabbi, Che Yahaya, Yaakub, Klaib, Mohammad F. J.

    Published 2011
    “…This paper proposes an effective random search based pairwise test data generation algorithm named R2Way to optimize the number of test cases. …”
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    Conference or Workshop Item
  12. 12

    Model Predictive Control Design for f Nonlinear Four-Tank System by Ansarpanahi, Shadi

    Published 2008
    “…Since linear model predictive control is used instead of nonlinear model predictive control; these problems are avoided to be appeared in this work. …”
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    Thesis
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    DESIGN OF CONTROL ALGORITHM FOR pH NEUTRALIZATION by ABDUL HALIM, AQILAH JUANI

    Published 2012
    “…Therefore, a robust control algorithm is needed for the utilization of the system. …”
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    Final Year Project
  15. 15

    A Sensorless Positioning System For Linear Dc Motor by Mat Saat, Ezril Hisham

    Published 2008
    “…These linear equations will be converted into microprocessor programming as feed-forward control algorithms. …”
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    Thesis
  16. 16

    EasyA: Easy and effective way to generate pairwise test data by Rabbi, Khandakar Fazley, Sabira, Khatun, Che Yahaya, Yaakub, Klaib, Mohammad F. J.

    Published 2013
    “…This paper proposes a matrix based calculation for pairwise test data generation algorithm named EasyA to optimize the number of test cases. …”
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    Conference or Workshop Item
  17. 17

    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
  18. 18

    An ensemble learning method for spam email detection system based on metaheuristic algorithms by Behjat, Amir Rajabi

    Published 2015
    “…In the second phase, a classifier ensemble learning model is proposed consisting of separate outputs: (i) To select a relevant subset of original features based on Binary Quantum Gravitational Search Algorithm (QBGSA), (ii) To mine data streams using various data chunks and overcome a failure of single classifiers based on SVM, MLP and K-NN algorithms. …”
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    Thesis
  19. 19

    SYSTEM IDENTIFICATION AND MODEL PREDICTIVE CONTROL FOR INTERACTING SERIES PROCESS WITH NONLINEAR DYNAMICS by SETYO WIBOWO, TRI CHANDRA

    Published 2009
    “…The study includes the tuning of the controller in a heuristic way and the strategy to combine two kinds of control algorithm in the control system. …”
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    Thesis
  20. 20

    Computing the autopilot control algorithm using predictive functional control for unstable model by H. A., Kasdirin, J. A., Rossiter

    Published 2009
    “…This paper discusses the computing development of a control algorithm using Predictive Functional Control (PFC) for model-based that having one or more unstable poles. …”
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    Conference or Workshop Item