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Showing 1 - 20 results of 281 for search '(((( time learning algorithms ) OR ( elements method algorithm ))) OR ( level coding algorithm ))', query time: 0.14s Refine Results
  1. 1
    A discrete-time learning control algorithm

    A discrete-time learning control algorithm by Saab, Samer S.

    Published 1994
    “…A discretized version of the D-type learning control algorithm is presented for a MIMO linear discrete-time system. …”
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  2. 2
    A discrete-time learning control algorithm for a class of linear time-invariant systems

    A discrete-time learning control algorithm for a class of linear time-invariant systems by Saab, Samer S.

    Published 1995
    “…A discretized version of the D-type learning control algorithm is presented for a MIMO linear discrete-time system. …”
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  3. 3
    Discrete-time learning control algorithm for a class of nonlinear systems

    Discrete-time learning control algorithm for a class of nonlinear systems by Saab, Samer S.

    Published 1995
    “…Applies a discrete-time learning algorithm to a class of discrete-time varying nonlinear system. …”
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  4. 4
    A discrete-time stochastic iterative learning control algorithm for a class of nonlinear systems

    A discrete-time stochastic iterative learning control algorithm for a class of nonlinear systems by Saab, S. S.

    Published 2005
    “…This article presents a stochastic algorithm that computes the learning gain matrix of a “D-type iterative learning control (ILC) algorithm for a class of discrete-time varying nonlinear systems with linear input/output actions having relative degree one. …”
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  5. 5
    Robustness and convergence rate of a discrete‐time learning control algorithm for a class of nonlinear systems

    Robustness and convergence rate of a discrete‐time learning control algorithm for a class of nonlinear systems by Saab, Samer S.

    Published 1999
    “…In this paper, we apply a discrete‐time learning algorithm to a class of discrete‐time varying nonlinear systems with affine input action and linear output having relative degree one. …”
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  6. 6
    Design of acoustic absorbing metasurfaces using a data-driven approach

    Design of acoustic absorbing metasurfaces using a data-driven approach by Hamza Baali (14603380)

    Published 2023
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  7. 7
    On the Optimization of Band Gaps in Periodic Waveguides

    On the Optimization of Band Gaps in Periodic Waveguides by Jamil Renno (14070771)

    Published 2025
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  8. 8
    Learning-Based Space-Time Adaptive Processing

    Learning-Based Space-Time Adaptive Processing by El Khatib, Alaa

    Published 2013
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  9. 9
    Personalization in Real-Time Physical Activity Coaching Using Mobile Applications: A Scoping Review

    Personalization in Real-Time Physical Activity Coaching Using Mobile Applications: A Scoping Review by Francisco Monteiro-Guerra (16864122)

    Published 2019
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  10. 10
    Prediction of EV Charging Behavior Using Machine Learning

    Prediction of EV Charging Behavior Using Machine Learning by Shahriar, Sakib

    Published 2021
    “…Using data-driven tools and machine learning algorithms to learn the EV charging behavior can improve scheduling algorithms. …”
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  11. 11
    Learning control algorithms for tracking "slowly" varying trajectories

    Learning control algorithms for tracking "slowly" varying trajectories by Saab, Samer S.

    Published 1997
    “…This is due to the requirement that all learning algorithms assume that a desired output is given a priori over the time duration t /spl isin/ ~0,T\. …”
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  12. 12
    Extended Behavioral Modeling of FET and Lattice-Mismatched HEMT Devices

    Extended Behavioral Modeling of FET and Lattice-Mismatched HEMT Devices by Khawam, Yahya Bader

    Published 2016
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  13. 13
    Selection of the learning gain matrix of an iterative learning control algorithm in presence of measurement noise

    Selection of the learning gain matrix of an iterative learning control algorithm in presence of measurement noise by Saab, Samer S.

    Published 2005
    “…This work also provides a recursive algorithm that generates the appropriate learning gain functions that meet the arbitrary high precision output tracking objective. …”
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  14. 14
    Optimal selection of the forgetting matrix into an iterative learning control algorithm

    Optimal selection of the forgetting matrix into an iterative learning control algorithm by Saab, Samer S.

    Published 2005
    “…A recursive optimal algorithm, based on minimizing the input error covariance matrix, is derived to generate the optimal forgetting matrix and the learning gain matrix of a P-type iterative learning control (ILC) for linear discrete-time varying systems with arbitrary relative degree. …”
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  15. 15
    A combined algorithm based on finite elements and a modified methodof characteristics for the analysis of the corona in wire-ductelectrostatic precipitators

    A combined algorithm based on finite elements and a modified methodof characteristics for the analysis of the corona in wire-ductelectrostatic precipitators by Al-Hamouz, Z.M.

    Published 2002
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  16. 16
    Reinforcement R-learning model for time scheduling of on-demand fog placement

    Reinforcement R-learning model for time scheduling of on-demand fog placement by Farhat, Peter

    Published 2020
    “…This implies choosing the right time and best volunteer to create a fog which the cloud can benefit from is essential. …”
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  17. 17
    A Survey of Machine Learning Innovations in Ambulance Services: Allocation, Routing, and Demand Estimation

    A Survey of Machine Learning Innovations in Ambulance Services: Allocation, Routing, and Demand Estimation by Reem Tluli (22282702)

    Published 2024
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  18. 18
    Stochastic P-type/D-type iterative learning control algorithms

    Stochastic P-type/D-type iterative learning control algorithms by Saab, Samer S.

    Published 2003
    “…This paper presents stochastic algorithms that compute optimal and sub-optimal learning gains for a P-type iterative learning control algorithm (ILC) for a class of discrete-time-varying linear systems. …”
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  19. 19
    On Higher-Order Iterative Learning Control Algorithm in Presence of Measurement Noise

    On Higher-Order Iterative Learning Control Algorithm in Presence of Measurement Noise by Saab, Samer S.

    Published 2005
    “…Higher-Order Iterative Learning Control (HO-ILC) algorithms use past system control information from more than one past iterative cycle. …”
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  20. 20
    A stochastic iterative learning control algorithm with application to an induction motor

    A stochastic iterative learning control algorithm with application to an induction motor by Saab, Samer S.

    Published 2004
    “…A recursive optimal algorithm, based on minimizing the input error covariance matrix, is derived to generate the learning gain matrix of a P-type ILC for linear discrete-time varying systems with arbitrary relative degree. …”
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