Convergence Analysis of a Recursive Identification Algorithm for Nonlinear ODE Models with a Restricted Black-box Parameterization
2007 (English)In: 46th IEEE Conference on Decision and Control Proceedings, 2007Conference paper (Refereed)
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
IdentifiersURN: urn:nbn:se:uu:diva-13209ISBN: 1-4244-1498-9OAI: oai:DiVA.org:uu-13209DiVA: diva2:40979