DocumentCode :
3173223
Title :
On the descriptor variable observation of rectangular implicit representations
Author :
Bonilla, M. ; Malabre, M. ; Martinez, J.C.
Author_Institution :
Control Autom., CINVESTAV-IPN, Mexico City, Mexico
fYear :
2013
fDate :
25-28 June 2013
Firstpage :
1014
Lastpage :
1022
Abstract :
Recently, it has been shown that the implicit rectangular descriptions can be successfully used for modelling and controlling broad classes of linear systems, including systems with internal switches. This technique consists in finding first the degree of freedom, characterizing the internal variable structure, and then making it unobservable by means of a proportional and derivative descriptor variable. Up to now, there is no descriptor variable observer scheme for implicit rectangular systems. In this paper we propose two different ways for observing the descriptor variable: a descriptor variable observer based on fault detection and a descriptor variable observer based on adaptive structure detection. The first proposition is realized by continuous linear filters, which is performed for minimum phase systems. The second proposition is based on an adaptive structure detection which guarantees detection in a finite time.
Keywords :
PD control; adaptive control; algebra; fault diagnosis; linear systems; observers; adaptive structure detection; continuous linear filters; descriptor variable observation; descriptor variable observer scheme; fault detection; implicit rectangular systems; internal variable structure; linear systems control; minimum phase systems; proportional-derivative descriptor variable; rectangular implicit representation; Control systems; Equations; Fault detection; Linear systems; Mathematical model; Observers; Standards;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control & Automation (MED), 2013 21st Mediterranean Conference on
Conference_Location :
Chania
Print_ISBN :
978-1-4799-0995-7
Type :
conf
DOI :
10.1109/MED.2013.6608845
Filename :
6608845
Link To Document :
بازگشت