Fuzzy Adaptive Control for a Class of Nonlinear System with Prescribed Performance and Unknown Dead-Zone Inputs

Joint Authors

Yang, Chunzhi
Lv, Hui
Xu, Song

Source

Journal of Mathematics

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

Mathematics

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