Fuzzy Adaptive Control for a Class of Nonlinear System with Prescribed Performance and Unknown Dead-Zone Inputs
Joint Authors
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-12-23
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Based on fuzzy logic systems and prescribed performance technology, this paper investigated the stable tracking problem of a class of nonlinear systems with unknown dead-zone inputs.
Firstly, the original system is transformed into an equivalent system.
Then, a Nussbaum-type function is added in the predefined performance controller to estimate the unknown control direction, and the boundedness of all signals in the closed-loop system is guaranteed.
In addition, tracking errors will always remain within the prescribed performance boundaries.
Finally, a comparative simulation example shows the effectiveness of the method proposed in this paper.
American Psychological Association (APA)
Yang, Chunzhi& Xu, Song& Lv, Hui. 2020. Fuzzy Adaptive Control for a Class of Nonlinear System with Prescribed Performance and Unknown Dead-Zone Inputs. Journal of Mathematics،Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1188240
Modern Language Association (MLA)
Yang, Chunzhi…[et al.]. Fuzzy Adaptive Control for a Class of Nonlinear System with Prescribed Performance and Unknown Dead-Zone Inputs. Journal of Mathematics No. 2020 (2020), pp.1-8.
https://search.emarefa.net/detail/BIM-1188240
American Medical Association (AMA)
Yang, Chunzhi& Xu, Song& Lv, Hui. Fuzzy Adaptive Control for a Class of Nonlinear System with Prescribed Performance and Unknown Dead-Zone Inputs. Journal of Mathematics. 2020. Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1188240
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1188240