State and unknown input estimation for a class of infinitely unobservable descriptor systems using two observers in cascade. Issue 18 (December 2017)
- Record Type:
- Journal Article
- Title:
- State and unknown input estimation for a class of infinitely unobservable descriptor systems using two observers in cascade. Issue 18 (December 2017)
- Main Title:
- State and unknown input estimation for a class of infinitely unobservable descriptor systems using two observers in cascade
- Authors:
- Ooi, Jeremy H.T.
Tan, Chee Pin
Chua, Wen-Shyan
Wang, Xianghua - Abstract:
- Abstract: This paper presents an observer scheme for state and unknown input estimation for a class of infinitely unobservable descriptor systems. Though there are observer schemes for infinitely unobservable systems, they may require a higher number of outputs, which could prove restrictive. The proposed scheme in this paper consists of two observers – the first one being a standard linear observer for descriptor systems. Signals from that observer are processed and found to be the output of an analytical regular state-space system. Then, the second observer, which is a sliding mode observer, is applied to estimate the state and unknown input. Necessary and sufficient conditions associated with the scheme are also derived. Finally, a simulation example is presented to demonstrate the effectiveness of the scheme.
- Is Part Of:
- Journal of the Franklin Institute. Volume 354:Issue 18(2017)
- Journal:
- Journal of the Franklin Institute
- Issue:
- Volume 354:Issue 18(2017)
- Issue Display:
- Volume 354, Issue 18 (2017)
- Year:
- 2017
- Volume:
- 354
- Issue:
- 18
- Issue Sort Value:
- 2017-0354-0018-0000
- Page Start:
- 8374
- Page End:
- 8397
- Publication Date:
- 2017-12
- Subjects:
- Science -- Periodicals
Technology -- Periodicals
Patents -- United States -- Periodicals
505 - Journal URLs:
- http://www.elsevier.com/journals ↗
http://www.sciencedirect.com/science/journal/00160032 ↗ - DOI:
- 10.1016/j.jfranklin.2017.09.017 ↗
- Languages:
- English
- ISSNs:
- 0016-0032
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4755.000000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 5397.xml