Please use this identifier to cite or link to this item:
http://hdl.handle.net/11375/17707
Title: | Stochastic Approximation for Identification of Multivariable Systems |
Authors: | El-Sherief, Hossny E. |
Advisor: | Sinha, N.K. |
Department: | Electrical Engineering |
Keywords: | non-parametric, stochastic, approximation, multivariable, identification |
Publication Date: | Mar-1977 |
Abstract: | <p> In this thesis a non-parametric normalized stochastic approximation algorithm has been developed for the identification of multivariable systems from noisy data without prior knowledge of the statistics of measurement noise.</p> <p> The system model is first transformed into a special canonical form, then it is formulated in a non-parametric form. The parameters of this model are estimated through a normalized stochastic approximation algorithm. Finally, the system parameters are recovered from these estimates by another transformation.</p> <p> The proposed algorithm is applied to the identification of two simulated systems.</p> <p> Conclusions of this work and suggestions for future work are given.</p> |
URI: | http://hdl.handle.net/11375/17707 |
Appears in Collections: | Open Access Dissertations and Theses |
Files in This Item:
File | Description | Size | Format | |
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El-Sherief_Hossny_E._1977March_Masters..pdf | 1.44 MB | Adobe PDF | View/Open |
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