Further Results on Plant Parameter Identification using Continuous-Time Multiple-Model Adaptive Estimators

• Type: Article in International Conference Proceedings Book
• Date: 2009

Authors

Vahid Hassani (Author) Other; Pedro P Aguiar (Author) Other; Antonio M Pascoal (Author) Other; Michael Athans (Author) Other

Conference proceedings International

Title: PROCEEDINGS OF THE 48TH IEEE CONFERENCE ON DECISION AND CONTROL, 2009 HELD JOINTLY WITH THE 2009 28TH CHINESE CONTROL CONFERENCE (CDC/CCC 2009)

Pages: 7261-7266

Joint 48th IEEE Conference on Decision and Control (CDC) / 28th Chinese Control Conference (CCC)

Shanghai, PEOPLES R CHINA, DEC 15-18, 2009

Indexing

ISI Web of Knowledge - 6 Citations

Scopus - 10 Citations

Scientific classification

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

Other information

Authenticus ID: P-007-SXX

DOI: 10.1109/cdc.2009.5400434

Abstract (EN): This paper describes a deterministic approach to adaptive state and parameter estimation using a multiple model structure. In the set-up adopted, the plant of interest is described by a finite dimensional model with parametric uncertainty. To each choice of a finite number of parameter values there corresponds a finite set of multiple design models and a corresponding set of observers. Assuming the latter have been chosen, a Dynamic Weighting Signal Generator (DWSG) performs on-line adaptation of the weights given to the individual observer estimates based on the energy of the output error signals. In the present paper we develop a distance-like pseudo norm between the true plant and the identified model in a deterministic setting, based on the energy of the output error signals. Furthermore we show, under a distinguishability condition, that the model identified is the one that is closest to the true plant in the defined deterministic norm. We also prove that the convergence of the parameter estimate is exponentially fast. Performance and convergence of the CT-MMAE procedure are illustrated with Monte-Carlo simulation runs using the model of an inverted pendulum.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6