Please use this identifier to cite or link to this item:
http://hdl.handle.net/11375/19621
Title: | Optimum System Modelling Using Recent Gradient Methods |
Authors: | Markettos, Nicholas Denis |
Advisor: | Sinha, N. K. Bandler, J. W. |
Department: | Electrical Engineering |
Keywords: | optimum, system, modelling, recent gradient methods, Fletcher-Powell, algorithms |
Publication Date: | Apr-1972 |
Abstract: | <p> A study of gradient optimization techniques, in particular as applied to system modelling problems, is made. Three efficient techniques are used to derive optimum second-order and third-order models for a seventh-order system. The optimization techniques are the Fletcher-Powell method, a more recent method proposed by Fletcher and a method based on a more general objective function proposed by Jacobson and Oksman.</p> <p> The approximation is carried out in the time domain. Least squares and least pth criteria are used, and almost minimax results are obtained for large values of p. Values of p up to 10^12 are successfully used. The results are compared with other minimax type algorithms.</p> |
URI: | http://hdl.handle.net/11375/19621 |
Appears in Collections: | Open Access Dissertations and Theses |
Files in This Item:
File | Description | Size | Format | |
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Markettos_Nicholas_D._1972Apr_Masters..pdf | 2 MB | Adobe PDF | View/Open |
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