Adaptive Fuzzy Output Feedback Control for Partial State Constrained Nonlinear Pure Feedback Systems
Joint Authors
Sun, Weiwei
Wang, Liping
Wu, You
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-07-24
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
The adaptive fuzzy output feedback control problem for a class of pure feedback systems with partial state constraints is addressed in this paper.
The fuzzy state observers are designed to estimate the unmeasured state while the fuzzy logic systems are used to approximate the unknown nonlinear functions.
The proposed adaptive fuzzy output feedback controller can guarantee that the partial state constraints are not violated, and all closed-loop signals remain bounded by use of Barrier Lyapunov Functions (BLFs).
A numerical example is presented to illustrate the effectiveness of the results in this paper.
American Psychological Association (APA)
Wang, Liping& Sun, Weiwei& Wu, You. 2018. Adaptive Fuzzy Output Feedback Control for Partial State Constrained Nonlinear Pure Feedback Systems. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1209736
Modern Language Association (MLA)
Wang, Liping…[et al.]. Adaptive Fuzzy Output Feedback Control for Partial State Constrained Nonlinear Pure Feedback Systems. Mathematical Problems in Engineering No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1209736
American Medical Association (AMA)
Wang, Liping& Sun, Weiwei& Wu, You. Adaptive Fuzzy Output Feedback Control for Partial State Constrained Nonlinear Pure Feedback Systems. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1209736
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1209736
