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Adaptive Fuzzy Control of Nonlinear Systems With Predefined Time and Accuracy.

Authors :
Wang, Qian
Cao, Jinde
Liu, Heng
Source :
IEEE Transactions on Fuzzy Systems; Dec2022, Vol. 30 Issue 12, p5152-5165, 14p
Publication Year :
2022

Abstract

In this article, an adaptive fuzzy predefined time and accuracy tracking control scheme is proposed for strict-feedback nonlinear systems. A sufficient condition that can be used to determine whether the tracking error converges to a predefined region within a predefined time is first derived based on the definition of predefined time stability. Under the proposed stability criterion, an adaptive fuzzy controller is developed by applying the backstepping technique, and the stability time and convergence accuracy of the tracking error can be set previously, which facilitates the engineering application with requirements for convergence time and accuracy. Especially, to reduce chattering and decrease energy consumptions on the premise of ensuring the stability of the system, an inequality is introduced to construct a continuous term which can replace the sign function. Finally, a practical example is presented to illustrate the feasibility of main results. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10636706
Volume :
30
Issue :
12
Database :
Complementary Index
Journal :
IEEE Transactions on Fuzzy Systems
Publication Type :
Academic Journal
Accession number :
160687957
Full Text :
https://doi.org/10.1109/TFUZZ.2022.3169852