Observer-Based Fuzzy Control for Memristive Circuit Systems
Joint Authors
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-09-24
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
This paper proposes an observer-based fuzzy control scheme for a class of memristive chaotic circuit systems.
First, the Takagi-Sugeno fuzzy model is adopted to reconstruct the nonlinear chaotic circuit system.
Next, based on the proposed fuzzy model, an observer-based fuzzy controller is developed to estimate the states and stabilize the origin.
Third, the results are extended to explore the L∞-gain observer-based fuzzy control for the chaotic system with disturbances.
Finally, simulation results are also addressed to show the effectiveness of the proposed control scheme.
American Psychological Association (APA)
Ye, Qian& Lou, Xuyang. 2018. Observer-Based Fuzzy Control for Memristive Circuit Systems. Complexity،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1136353
Modern Language Association (MLA)
Ye, Qian& Lou, Xuyang. Observer-Based Fuzzy Control for Memristive Circuit Systems. Complexity No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1136353
American Medical Association (AMA)
Ye, Qian& Lou, Xuyang. Observer-Based Fuzzy Control for Memristive Circuit Systems. Complexity. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1136353
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1136353