State Estimation for Discrete-Time Fuzzy Cellular Neural Networks with Mixed Time Delays
Joint Authors
Li, Haiying
Su, Guang
Zhao, Bingchen
Geng, Lijie
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-29
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
This paper is concerned with the exponential state estimation problem for a class of discrete-time fuzzy cellular neural networks with mixed time delays.
The main purpose is to estimate the neuron states through available output measurements such that the dynamics of the estimation error is globally exponentially stable.
By constructing a novel Lyapunov-Krasovskii functional which contains a triple summation term, some sufficient conditions are derived to guarantee the existence of the state estimator.
The linear matrix inequality approach is employed for the first time to deal with the fuzzy cellular neural networks in the discrete-time case.
Compared with the present conditions in the form of M-matrix, the results obtained in this paper are less conservative and can be checked readily by the MATLAB toolbox.
Finally, some numerical examples are given to demonstrate the effectiveness of the proposed results.
American Psychological Association (APA)
Geng, Lijie& Li, Haiying& Zhao, Bingchen& Su, Guang. 2014. State Estimation for Discrete-Time Fuzzy Cellular Neural Networks with Mixed Time Delays. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-507017
Modern Language Association (MLA)
Geng, Lijie…[et al.]. State Estimation for Discrete-Time Fuzzy Cellular Neural Networks with Mixed Time Delays. Mathematical Problems in Engineering No. 2014 (2014), pp.1-13.
https://search.emarefa.net/detail/BIM-507017
American Medical Association (AMA)
Geng, Lijie& Li, Haiying& Zhao, Bingchen& Su, Guang. State Estimation for Discrete-Time Fuzzy Cellular Neural Networks with Mixed Time Delays. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-507017
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-507017