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Title: A pseudo-output error algorithm to improve global convergence
Authors: Tohme, Elie Toni
Ouvrard, Regis
Trigeassou, Jean Claude
Abche, Antoine 
Affiliations: Department of Electrical Engineering 
Keywords: Sensitivity analysis
Convergence of numerical methods
Filtering theory
Newton method
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) 
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.
Ezproxy URL: Link to full text
Type: Conference Paper
Appears in Collections:Department of Electrical Engineering

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