Multiple strategies for parameter estimation via a hybrid method: A comparative study

• Type: Article in International Conference Proceedings Book
• Date: 2006

Authors

Alonso, H (Author) Other; Magalhaes, H (Author) Other; Mendonca, T (Author) FCUP; Rocha, P (Author) Other

Conference proceedings International

Title: IFAC Proceedings Volumes (IFAC-PapersOnline)

Pages: 87-92

6th IFAC Symposium on Modeling and Control in Biomedical Systems, MCBMS 2006

Reims, 20 August 2006 through 22 August 2006

Indexing

ISI Web of Knowledge

Scopus - 1 Citation

Other information

Authenticus ID: P-007-K52

Abstract (EN): In this paper, two different strategies are considered for application of a previously proposed hybrid method designed to parameter estimation. This method combines the feedforward neural networks ability to produce initial parameter estimates close to the true values with the fast convergence of the Levenberg-Marquardt method using such estimates. The first strategy is of general applicability, while the second one is intended for models having a structure defined by various blocks in series. The neuromuscular blockade model parameter estimation problem is taken as the case study for comparing the performances of the two strategies. Copyright ©2006 IFAC.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6