Finite-Time Stabilization of Memristive Cohen-Grossberg Neural Networks with Time-Varying Delay
Joint Authors
Li, Ge
Li, Yaqiong
Yuan, Zhaohui
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-11-26
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
In this paper, the finite-time stabilization problem for memristive Cohen-Grossberg neural networks with time-varying delay is discussed.
By using the novel fixed point theory of set-valued maps, we establish the existence theorem of equilibrium point.
In order to realize the finite-time stabilization, two different kinds of discontinuous state feedback controllers whether including time-varying delay are designed.
Based on the extended Filippov framework and two different kinds of methods whether using finite-time stability theory, some novel sufficient conditions and the upper bound of the settling time for finite-time stabilization are proposed.
Finally, two numerical examples are given to demonstrate the validity of theoretical results.
American Psychological Association (APA)
Li, Ge& Li, Yaqiong& Yuan, Zhaohui. 2018. Finite-Time Stabilization of Memristive Cohen-Grossberg Neural Networks with Time-Varying Delay. Complexity،Vol. 2018, no. 2018, pp.1-15.
https://search.emarefa.net/detail/BIM-1135641
Modern Language Association (MLA)
Li, Ge…[et al.]. Finite-Time Stabilization of Memristive Cohen-Grossberg Neural Networks with Time-Varying Delay. Complexity No. 2018 (2018), pp.1-15.
https://search.emarefa.net/detail/BIM-1135641
American Medical Association (AMA)
Li, Ge& Li, Yaqiong& Yuan, Zhaohui. Finite-Time Stabilization of Memristive Cohen-Grossberg Neural Networks with Time-Varying Delay. Complexity. 2018. Vol. 2018, no. 2018, pp.1-15.
https://search.emarefa.net/detail/BIM-1135641
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1135641