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Convergence Analysis of a Recursive Identification Algorithm for Nonlinear ODE Models with a Restricted Black-box Parameterization
Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology, Automatic control.
2007 (English)In: 46th IEEE Conference on Decision and Control Proceedings, 2007Conference paper, Published paper (Refereed)
Abstract [en]

A convergence analysis is performed for a recursive prediction error method based on a restricted black-box parameterization. Sufficient conditions to obtain convergence to a minimum of the criterion function are formulated. This proves that convergence to the true parameter vector is possible. The analysis exploits averaging analysis using an associated ordinary differential equation.

Place, publisher, year, edition, pages
2007.
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URN: urn:nbn:se:uu:diva-13209ISBN: 1-4244-1498-9 (print)OAI: oai:DiVA.org:uu-13209DiVA: diva2:40979
Available from: 2008-01-22 Created: 2008-01-22

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