Neural Network Identification and Sliding Mode Control for Hysteresis Nonlinear System with Backlash-Like Model
Joint Authors
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-07-16
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
A new neural network sliding mode control (NNSMC) is proposed for backlash-like hysteresis nonlinear system in this paper.
Firstly, only one neural network is designed to estimate the unknown system states and hysteresis section instead of multiscale neural network at former researches since that can save computation and simplify the controller design.
Secondly, a new NNSMC is proposed for the hysteresis nonlinearity where it does not need tracking error transformation.
Finally, the Lyapunov functions are adopted to guarantee the stabilities of the identification and control strategies semiglobally uniformly ultimately bounded (UUB).
Two cases simulations are proved the effectiveness of the presented identification approach and the performance of the NNSMC.
American Psychological Association (APA)
Liu, Ruiguo& Gao, Xuehui. 2019. Neural Network Identification and Sliding Mode Control for Hysteresis Nonlinear System with Backlash-Like Model. Complexity،Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1131975
Modern Language Association (MLA)
Liu, Ruiguo& Gao, Xuehui. Neural Network Identification and Sliding Mode Control for Hysteresis Nonlinear System with Backlash-Like Model. Complexity No. 2019 (2019), pp.1-10.
https://search.emarefa.net/detail/BIM-1131975
American Medical Association (AMA)
Liu, Ruiguo& Gao, Xuehui. Neural Network Identification and Sliding Mode Control for Hysteresis Nonlinear System with Backlash-Like Model. Complexity. 2019. Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1131975
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1131975