Search Results - (( a distribution model algorithm ) OR ( parametric estimation control algorithm ))

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  1. 1
    Parametric and Semiparametric Competing Risks Models for Statistical Process Control with Reliability Analysis

    Parametric and Semiparametric Competing Risks Models for Statistical Process Control with Reliability Analysis by Mohamed Elfaki, Faiz Ahmed

    Published 2004
    “…A generated data where the failure times are taken as exponentially distributed are used to further compare these two parametric models. …”
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  2. 2
    An intelligent framework for modelling and active vibration control of flexible structures

    An intelligent framework for modelling and active vibration control of flexible structures by Mohd. Hashim, Siti Zaiton

    Published 2004
    “…Two controller design formulations are proposed. The first controller design is formulated so as to allow on-line modeling, controller design and implementation and thus, yield a self-tuning control algorithm. …”
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  3. 3
    Parametric and non-parametric identification of a two dimensional flexible structure

    Parametric and non-parametric identification of a two dimensional flexible structure by Mat Darus, I. Z., Tokhi, M. O.

    Published 2006
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  4. 4
    System Identification of XY Table ballscrew drive using parametric and non parametric frequency domain estimation via deterministic approach

    System Identification of XY Table ballscrew drive using parametric and non parametric frequency domain estimation via deterministic approach by Abdullah, Lokman, Jamaludin, Zamberi, Tsung Heng, Chiew, RAFAN, NUR AIDAWATY, syed mohamed, muhammad syafiq

    Published 2012
    “…The system for this case is XY milling table ballscrew drive. Both parametric and nonparametric procedure. In addition, comparison of estimated model transfer function obtained via non-linear least square (NLLS) and Linear least square estimator algorithm were also being addressed. …”
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  5. 5
    Non-parametric induction motor rotor flux estimator based on feed-forward neural network

    Non-parametric induction motor rotor flux estimator based on feed-forward neural network by Siti Nursyuhada, Mahsahirun, Nik Rumzi, Nik Idris, Zulkifli, Md. Yusof, Sutikno, Tole

    Published 2022
    “…In this paper, a non-parametric induction motor rotor flux estimator based on feed-forward neural network is proposed. …”
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  6. 6
    Control of a robot arm using iterative learning algorithm with a stopping criterion

    Control of a robot arm using iterative learning algorithm with a stopping criterion by Mailah, Musa, Chong, Jonathan Wun Shiung

    Published 2002
    “…The study introduces the Active Force Control and Iterative Learning Algorithm (AFCAIL) scheme with an improved feature in the form of a suitably designed stopping criterion incorporated in the control strategy. …”
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  7. 7
    Estimator and Controller Design for a Didactic Liquid Level system by System Identification Approach

    Estimator and Controller Design for a Didactic Liquid Level system by System Identification Approach by Kamarudin, Muhammad Nizam, Md Rozali, Sahazati

    Published 2010
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  8. 8
    Estimator and Controller Design for a Didactic Liquid Level system by System Identification Approach

    Estimator and Controller Design for a Didactic Liquid Level system by System Identification Approach by Kamarudin, Muhammad Nizam, Md Rozali, Sahazati

    Published 2010
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  9. 9
    Controlling the non-parametric modeling of Double Link Flexible Robotic Manipulator using Hybrid PID tuned by PType ILA

    Controlling the non-parametric modeling of Double Link Flexible Robotic Manipulator using Hybrid PID tuned by PType ILA by Annisa, Jamali, Ana Sakura, Zainal Abidin, Mat Darus, I.Z., Tokhi, M.O.

    Published 2018
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  10. 10
    A comprehensive analysis of surface electromyography for control of lower limb exoskeleton

    A comprehensive analysis of surface electromyography for control of lower limb exoskeleton by Abdelhakim, Deboucha

    Published 2016
    “…A parametric model based on Hill Muscle Model (HMM) to estimate the knee joint moment is developed for both experiments protocols. …”
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  11. 11
    Base drag estimation in suddenly expanded supersonic flows using backpropagation genetic and recurrent neural networks

    Base drag estimation in suddenly expanded supersonic flows using backpropagation genetic and recurrent neural networks by Jaimon, Dennis Quadros, Prashanth, T., Khan, Sher Afghan

    Published 2022
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  12. 12
    INTELLIGENT MODELLING OF GRADIENT FLEXIBLE PLATE STRUCTURE UTILISING HYBRID EVOLUTIONARY ALGORITHM

    INTELLIGENT MODELLING OF GRADIENT FLEXIBLE PLATE STRUCTURE UTILISING HYBRID EVOLUTIONARY ALGORITHM by Muhammad Hasbollah, Hassan

    Published 2023
    “…Hence, the unwanted vibration needs to be controlled and can be accomplished by developing an accurate model. …”
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  13. 13
    Traditional and higher order sliding mode control of MEMS optical switch

    Traditional and higher order sliding mode control of MEMS optical switch by Keramati, Ehsan

    Published 2010
    “…In HOSM control system, robust exact differentiator is used to estimate the time derivatives of the sliding variable. …”
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  14. 14
    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. …”
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  15. 15
    Hierarchical Bayesian estimation for stationary autoregressive models using reversible jump MCMC algorithm

    Hierarchical Bayesian estimation for stationary autoregressive models using reversible jump MCMC algorithm by Suparman, S., Rusiman, Mohd Saifullah

    Published 2018
    “…In the hierarchical Bayesian approach, the order and coefficients of the autoregressive model are assumed to have a prior distribution. The prior distribution is combined with the likelihood function to obtain a posterior distribution. …”
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  16. 16
    Adaptive levy flight distribution algorithm for solving a dynamic model of an electric heater

    Adaptive levy flight distribution algorithm for solving a dynamic model of an electric heater by Ahmad Nor Kasruddin, Nasir, Mohd Falfazli, Mat Jusof, Mohd Redzuan, Ahmad, Ahmad Azwan, Abd Razak, Nor Maniha, Abdul Ghani

    Published 2023
    “…The algorithm is applied to optimize a nonlinear dynamic model of an electric water heater. …”
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  17. 17
    An In-depth Study of Ankle-Foot Orthosis Dynamics Modeling: Leveraging Non-Parametric Approach Via Artificial Neural Networks

    An In-depth Study of Ankle-Foot Orthosis Dynamics Modeling: Leveraging Non-Parametric Approach Via Artificial Neural Networks by Annisa, Jamali, Aida Suriana, Abdul Razak, Shahrol, Mohamaddan

    Published 2024
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  18. 18
    A genetic algorithm for solving supply chain network design model

    A genetic algorithm for solving supply chain network design model by Firoozi, Zahra, Ismail, Napsiah, Ariafar, Shahram, Tang, Sai Hong, Mohd Ariffin, Mohd Khairol Anuar

    Published 2013
    “…This study proposes a genetic algorithm to solve a distribution network design model. …”
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  19. 19
    Distribution network design for fixed lifetime perishable products: a model and solution approach

    Distribution network design for fixed lifetime perishable products: a model and solution approach by Firoozi, Zahra, Ismail, Napsiah, Ariafar, Shahram, Tang, Sai Hong, Mohd Ariffin, Mohd Khairol Anuar, Memariani, Azizollah

    Published 2013
    “…This study develops a model for the design of a distribution network that considers the short lifetime of perishable products. …”
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  20. 20
    Time based internet traffic policing and shaping with Weibull traffic model / Mohd Azrul Abdullah

    Time based internet traffic policing and shaping with Weibull traffic model / Mohd Azrul Abdullah by Abdullah, Mohd Azrul

    Published 2015
    “…Empirical cumulative distribution function (CDF) model is presented in evaluating the real traffic distribution. …”
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