System Identification Methods for Identification of State Models

• Type: Article in International Conference Proceedings Book
• Date: 2015

Authors

Esteves, MS (Author) Other; Azevedo Perdicoulis, TPA (Author) Other; P. Lopes dos Santos (Author) FEUP

Conference proceedings International

Title: Lecture Notes in Electrical Engineering

Pages: 417-427

11th Portuguese Conference on Automatic Control, CONTROLO 2014

Porto, 21 July 2014 through 23 July 2014

Indexing

ISI Web of Knowledge - 1 Citation

Scopus - 1 Citation

Other information

Authenticus ID: P-009-TQA

DOI: 10.1007/978-3-319-10380-8_40

Abstract (EN): System Identification (SI) is a methodology for building mathematical models of dynamic systems from experimental data, i.e., using measurements of the system input/output (IO) signals to estimate the values of adjustable parameters in a given model structure. The process of SI requires some steps, such as measurement of the IO signals of the system in time or frequency domain, selection of a candidate model structure, choice and application of a method to estimate the value of the adjustable parameters in the candidate model structure, validation and evaluation of the estimated model to see if the model is right for the application needs, which should be done preferably with a different set of data, [PS] and [Lj1]. © 2015 Springer International Publishing.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 11