Improved Robust H∞ Filtering Approach for Nonlinear Systems
Joint Authors
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-27
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
An improved design approach of robust H∞ filter for a class of nonlinear systems described by the Takagi-Sugeno (T-S) fuzzy model is considered.
By introducing a free matrix variable, a new sufficient condition for the existence of robust H∞ filter is derived.
This condition guarantees that the filtering error system is robustly asymptotically stable and a prescribed H∞ performance is satisfied for all admissible uncertainties.
Particularly, the solution of filter parameters which are independent of the Lyapunov matrix can be transformed into a feasibility problem in terms of linear matrix inequalities (LMIs).
Finally, a numerical example illustrates that the proposed filter design procedure is effective.
American Psychological Association (APA)
Chen, Jun& Sun, Haiqiao. 2014. Improved Robust H∞ Filtering Approach for Nonlinear Systems. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1014337
Modern Language Association (MLA)
Chen, Jun& Sun, Haiqiao. Improved Robust H∞ Filtering Approach for Nonlinear Systems. Abstract and Applied Analysis No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1014337
American Medical Association (AMA)
Chen, Jun& Sun, Haiqiao. Improved Robust H∞ Filtering Approach for Nonlinear Systems. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1014337
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1014337