New Stabilization Results for Semi-Markov Chaotic Systems with Fuzzy Sampled-Data Control
Joint Authors
Cao, Jinde
Zhang, Haiyang
Wu, Tao
Xiong, Lianglin
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-11-03
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
This paper investigates the problem of stabilization for semi-Markov chaotic systems with fuzzy sampled-data controllers, in which the semi-Markov jump has generally uncertain transition rates.
The exponential stability condition is firstly obtained by the following two main techniques: To make full use of the information about the actual sampling pattern, a novel augmented input-delay-dependent Lyapunov–Krasovskii functional (LKF) is firstly introduced.
Meanwhile, a new zero-value equation is established to increase the combinations of component vectors of the resulting vector.
The corresponding fuzzy sampled-data controllers are designed based on the stability condition.
Finally, the validity and merits of the developed theories are shown by two numerical examples.
American Psychological Association (APA)
Wu, Tao& Cao, Jinde& Xiong, Lianglin& Zhang, Haiyang. 2019. New Stabilization Results for Semi-Markov Chaotic Systems with Fuzzy Sampled-Data Control. Complexity،Vol. 2019, no. 2019, pp.1-15.
https://search.emarefa.net/detail/BIM-1132775
Modern Language Association (MLA)
Wu, Tao…[et al.]. New Stabilization Results for Semi-Markov Chaotic Systems with Fuzzy Sampled-Data Control. Complexity No. 2019 (2019), pp.1-15.
https://search.emarefa.net/detail/BIM-1132775
American Medical Association (AMA)
Wu, Tao& Cao, Jinde& Xiong, Lianglin& Zhang, Haiyang. New Stabilization Results for Semi-Markov Chaotic Systems with Fuzzy Sampled-Data Control. Complexity. 2019. Vol. 2019, no. 2019, pp.1-15.
https://search.emarefa.net/detail/BIM-1132775
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1132775