Finite‐time adaptive tracking control for a class of nonstrict feedback nonlinear systems with full state constraints

This article reports our investigation on the finite‐time tracking control problem for nonstrict feedback nonlinear systems subject to full state constraints. A finite‐time stability criterion is founded by employing the barrier Lyapunov function methodology. With the backstepping technique, an adap...

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Bibliographic Details
Published inInternational journal of robust and nonlinear control Vol. 32; no. 5; pp. 2551 - 2569
Main Authors Wang, Yudi, Zong, Guangdeng, Yang, Dong, Shi, Kaibo
Format Journal Article
LanguageEnglish
Published Bognor Regis Wiley Subscription Services, Inc 25.03.2022
Subjects
Adaptive control
adaptive neural control
barrier Lyapunov function
Feedback
finite‐time tracking
full state constraints
Liapunov functions
Neural networks
Nonlinear systems
Stability criteria
Tracking control
Tracking errors
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Summary:This article reports our investigation on the finite‐time tracking control problem for nonstrict feedback nonlinear systems subject to full state constraints. A finite‐time stability criterion is founded by employing the barrier Lyapunov function methodology. With the backstepping technique, an adaptive neural networks controller is proposed, which can pledge that the closed‐loop system signals bounded and the tracking error converges to a sufficiently modest area around the origin in finite‐time under full state constraints. Finally, an example of the electromechanical system is given to corroborate the validity of acquired methods.
Bibliography:Funding information
National Natural Science Foundation of China, 61773235, 61803225; Postgraduate Tutor Guidance Ability Improvement Project of Shandong Province, SDYY18125; Taishan Scholar Project of Shandong Province, TSQN20161033
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1049-8923
1099-1239
DOI:10.1002/rnc.5777