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    Neural observers for non-linear systems.

    (1997) Neural observers for non-linear systems. Masters thesis, King Fahd University of Petroleum and Minerals.

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    Arabic Abstract

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    English Abstract

    Design of dynamic neural observer for nonlinear plant is considered. Six different schemes have been proposed. Simulation studies have been conducted to establish their usefulness and evaluate their performance. Simulation study also established the superiority of the proposed schemes over the static neural observer and the extended Kalman filter.

    Item Type: Thesis (Masters)
    Subjects: Engineering
    Department: College of Computing and Mathematics > lndustrial and Systems Engineering
    Committee Advisor: Ahmed, M. Shahgir
    Committee Members: Al-Sunni, Fouad M. and Emara-Shabaik, H.E.
    Depositing User: Mr. Admin Admin
    Date Deposited: 22 Jun 2008 14:01
    Last Modified: 01 Nov 2019 13:59
    URI: http://eprints.kfupm.edu.sa/id/eprint/10296