State Estimators for Uncertain Linear Systems with Different DisturbanceNoise Using Quadratic Boundedness
Joint Authors
Kong, Xiaobing
Liu, Xiangjie
Zhang, Longge
Source
Journal of Applied Mathematics
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-04-22
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
This paper designs state estimators for uncertain linear systems with polytopic description, different state disturbance, and measurement noise.
Necessary and sufficient stability conditions are derived followed with the upper bounding sequences on the estimation error.
All the conditions can be expressed in the form of linear matrix inequalities.
A numerical example is given to illustrate the effectiveness of the approach.
American Psychological Association (APA)
Zhang, Longge& Liu, Xiangjie& Kong, Xiaobing. 2012. State Estimators for Uncertain Linear Systems with Different DisturbanceNoise Using Quadratic Boundedness. Journal of Applied Mathematics،Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-1028721
Modern Language Association (MLA)
Zhang, Longge…[et al.]. State Estimators for Uncertain Linear Systems with Different DisturbanceNoise Using Quadratic Boundedness. Journal of Applied Mathematics No. 2012 (2012), pp.1-10.
https://search.emarefa.net/detail/BIM-1028721
American Medical Association (AMA)
Zhang, Longge& Liu, Xiangjie& Kong, Xiaobing. State Estimators for Uncertain Linear Systems with Different DisturbanceNoise Using Quadratic Boundedness. Journal of Applied Mathematics. 2012. Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-1028721
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1028721
