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Showing 161 - 180 results of 204 for search '(linearization OR internalization) ((maximization algorithm) OR (optimization algorithm))', query time: 0.09s Refine Results
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    An Extension Of Rahim And Banerjee'S Model For A Process With Upper And Lower Specification Limits by Al-Sultan, Khalid

    Published 2020
    “…We use Hooke and Jeeves search algorithm to optimize the model, and provide a numerical example.…”
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    article
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    Multidimensional Gains for Stochastic Approximation by Saab, Samer S.

    Published 2019
    “…The two algorithms assume full knowledge of the Jacobian. The recursive algorithms are proposed for generating the optimal iterative-dependent matrix gain. …”
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    An Enhanced MPPT Approach Based on CUSA for Grid-Integrated Hybrid Electric Vehicle Charging Station by Debabrata Mazumdar (18560506)

    Published 2024
    “…When compared to other algorithms that have been investigated in the literature, the designed algorithm exhibits excellent performance. …”
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    Application of Metastructures for Targeted Low-Frequency Vibration Suppression in Plates by Ratiba F. Ghachi (14152455)

    Published 2022
    “…<h2>Purpose</h2> <p>We present an approach that combines finite element analysis and genetic algorithms to find the optimal configuration of local resonators created in the host structure to suppress their vibration in a target low-frequency range. …”
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    Development of multivariable PID controller gains in presence of measurement noise by Saab, Samer S.

    Published 2017
    “…Subsequently, novel recursive algorithms providing optimal and sub-optimal time-varying PID gains are proposed for discrete-time varying linear multiple-input multiple-output (MIMO) systems. …”
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    Parallelization of Stochastic Evolution by Khan, Khawar

    Published 2006
    “…After parallelization, linear and super linear speed-ups were obtained, with no degradation in quality of the solution.…”
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    masterThesis
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    A MIMO Sampling-Rate-Dependent Controller by Saab, Samer S.

    Published 2014
    “…Performance is compared to a PID controller with fuzzy gain scheduling, four multivariable PID controllers, an H ∞ optimal controller, and an iterative-learning-control algorithm.…”
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