Observer normal forms for a class of Predator–Prey models. Issue 10 (July 2016)
- Record Type:
- Journal Article
- Title:
- Observer normal forms for a class of Predator–Prey models. Issue 10 (July 2016)
- Main Title:
- Observer normal forms for a class of Predator–Prey models
- Authors:
- Boutat, D.
Saif, M. - Abstract:
- Abstract: There is a wide body of scientific literature on the well-known Predator–Prey ecological models. However, just a few number of published articles deal with the problem of observer design for these dynamical systems. The aim of this paper is to apply the nonlinear observer normal forms to address this problem. We first introduce the notion of nonlinear observer normal forms that allows one to design robust nonlinear observers for a class of Predator–Prey systems, whose state variables are not all measurable. Then, we apply these normal forms to several different Predator–Prey systems. Numerical examples are also provided to show the efficiency of the proposed method, where we globally estimate the unmeasurable populations of a Predator–Prey system using a measured population of one species (prey or predator).
- Is Part Of:
- Journal of the Franklin Institute. Volume 353:Issue 10(2016:Jul.)
- Journal:
- Journal of the Franklin Institute
- Issue:
- Volume 353:Issue 10(2016:Jul.)
- Issue Display:
- Volume 353, Issue 10 (2016)
- Year:
- 2016
- Volume:
- 353
- Issue:
- 10
- Issue Sort Value:
- 2016-0353-0010-0000
- Page Start:
- 2178
- Page End:
- 2198
- Publication Date:
- 2016-07
- 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.2016.03.022 ↗
- 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:
- 1290.xml