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