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Hybrid Feedback Stabilization of Fuzzy Nonlinear Systems
Joint Authors
Zhang, Yingqi
Mu, Xiaowu
Liu, Caixia
Source
Journal of Control Science and Engineering
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-02-06
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Electronic engineering
Information Technology and Computer Science
Abstract EN
This paper is concerned with the problem of stabilizing one family of fuzzy nonlinear systems by means of fuzzy quantized feedback.
The hybrid control strategy originating in earlier work by Brockett and Liberzon(2000) and Liberzon (2003) relies on the possibility of making discrete online adjustments of quantizer parameters.
We explore this method here for one class of fuzzy nonlinear systems with fuzzy quantizers affecting the state of the system.
New results on the stabilization of the family of fuzzy nonlinear systems are obtained by choosing appropriately quantized strategies.
Finally, an illustrative example is given to demonstrate the effectiveness of the proposed method.
American Psychological Association (APA)
Zhang, Yingqi& Liu, Caixia& Mu, Xiaowu. 2011. Hybrid Feedback Stabilization of Fuzzy Nonlinear Systems. Journal of Control Science and Engineering،Vol. 2011, no. 2011, pp.1-7.
https://search.emarefa.net/detail/BIM-482364
Modern Language Association (MLA)
Zhang, Yingqi…[et al.]. Hybrid Feedback Stabilization of Fuzzy Nonlinear Systems. Journal of Control Science and Engineering No. 2011 (2011), pp.1-7.
https://search.emarefa.net/detail/BIM-482364
American Medical Association (AMA)
Zhang, Yingqi& Liu, Caixia& Mu, Xiaowu. Hybrid Feedback Stabilization of Fuzzy Nonlinear Systems. Journal of Control Science and Engineering. 2011. Vol. 2011, no. 2011, pp.1-7.
https://search.emarefa.net/detail/BIM-482364
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-482364