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: https://eprints.kfupm.edu.sa/id/eprint/10296