A hybrid method for parameter estimation

• Type: Article in International Conference Proceedings Book
• Date: 2005

Authors

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

Conference proceedings International

Title: 2005 IEEE International Workshop on Intelligent Signal Processing (WISP)

Pages: 304-309

IEEE International Workshop on Intelligent Signal Processing (WISP)

Faro, PORTUGAL, SEP 01-03, 2005

Indexing

ISI Web of Knowledge - 1 Citation

Scopus - 3 Citations

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

Other information

Authenticus ID: P-000-723

Abstract (EN): In this paper a method is presented for plant model parameter estimation. The method combines the artificial neural networks ability for function approximation with a nonlinear least-squares regression technique using the Levenberg-Marquardt optimization method. This combination intends to overcome problems that arise when artificial neural networks or nonlinear least-squares regression are separately applied to parameter estimation, which is accomplished by means of potentiating each of the methods advantages. The estimation of atracurium effect concentration model parameters is used as a case study to show the efficiency of the proposed method.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6