Fuzzy Adaptive Finite-Time Fault-Tolerant Control for Strict-Feedback Nonlinear Systems
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
---|---|
Pages (from-to) | 786-796 |
Number of pages | 11 |
Journal / Publication | IEEE Transactions on Fuzzy Systems |
Volume | 29 |
Issue number | 4 |
Online published | 13 Jan 2020 |
Publication status | Published - Apr 2021 |
Link(s)
Abstract
This article devotes to investigating the issue of fuzzy adaptive control for a class of strict-feedback nonlinear systems with nonaffine nonlinear faults. The computational complexity is reduced by adopting the dynamic surface control technique. Under the framework of finite-time stability, a novel fault-tolerant control strategy is designed so that the closed-loop system is semiglobally practically finite-time stable, and the tracking error converges to a small residual set in a finite time. Finally, simulation studies for an electromechanical system are shown to verify the feasibility of the presented approach.
Research Area(s)
- Fault-tolerant control, Finite-time stability, Fuzzy adaptive control, Strict-feedback systems
Citation Format(s)
Fuzzy Adaptive Finite-Time Fault-Tolerant Control for Strict-Feedback Nonlinear Systems. / Sun, Kangkang; Liu, Lu; Qiu, Jianbin et al.
In: IEEE Transactions on Fuzzy Systems, Vol. 29, No. 4, 04.2021, p. 786-796.
In: IEEE Transactions on Fuzzy Systems, Vol. 29, No. 4, 04.2021, p. 786-796.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review