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|Title:||A Pseudo-Output Error Algorithm To Improve Global Convergence||Authors:||Tohme, Elie Toni
Trigeassou, Jean Claude
|Affiliations:||Department of Electrical Engineering||Keywords:||Sensitivity analysis
Convergence of numerical methods
|Issue Date:||2006||Publisher:||IEEE||Part of:||IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics,||Start page:||659||End page:||664||Conference:||Annual Conference of IEEE Industrial Electronics (32nd : 6-10 Nov. 2006 : Paris, France)||Abstract:||
In this work, a new off-line optimization approach is proposed to improve the global convergence. This algorithm, called pseudo-output error algorithm, is based on the introduction of a stationary filter in the sensitivity functions of the Newton algorithm. The convergence of the proposed algorithm is studied and analyzed. A comparison with Newton algorithm is performed to evaluate its performance. The results of the simulations show that the pseudo-output error algorithm converges to true parameters describing the system to be identified. Whereas, the Newton algorithm might converge to a secondary minimum for the same input-output data and initialized parameters.
|URI:||https://scholarhub.balamand.edu.lb/handle/uob/774||Ezproxy URL:||Link to full text||Type:||Conference Paper|
|Appears in Collections:||Department of Electrical Engineering|
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