CLC number: TP13
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2023-10-13
Cited: 0
Clicked: 980
Zixuan HUANG, Huanqing WANG, Ben NIU, Xudong ZHAO, Adil M. AHMAD. Practical fixed-time adaptive fuzzy control of uncertain nonlinear systems with time-varying asymmetric constraints: a unified barrier function based approach[J]. Frontiers of Information Technology & Electronic Engineering, 2024, 25(9): 1282-1294.
@article{title="Practical fixed-time adaptive fuzzy control of uncertain nonlinear systems with time-varying asymmetric constraints: a unified barrier function based approach",
author="Zixuan HUANG, Huanqing WANG, Ben NIU, Xudong ZHAO, Adil M. AHMAD",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="25",
number="9",
pages="1282-1294",
year="2024",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2300408"
}
%0 Journal Article
%T Practical fixed-time adaptive fuzzy control of uncertain nonlinear systems with time-varying asymmetric constraints: a unified barrier function based approach
%A Zixuan HUANG
%A Huanqing WANG
%A Ben NIU
%A Xudong ZHAO
%A Adil M. AHMAD
%J Frontiers of Information Technology & Electronic Engineering
%V 25
%N 9
%P 1282-1294
%@ 2095-9184
%D 2024
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2300408
TY - JOUR
T1 - Practical fixed-time adaptive fuzzy control of uncertain nonlinear systems with time-varying asymmetric constraints: a unified barrier function based approach
A1 - Zixuan HUANG
A1 - Huanqing WANG
A1 - Ben NIU
A1 - Xudong ZHAO
A1 - Adil M. AHMAD
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 25
IS - 9
SP - 1282
EP - 1294
%@ 2095-9184
Y1 - 2024
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.2300408
Abstract: A practical fixed-time adaptive fuzzy control strategy is investigated for uncertain nonlinear systems with time-varying asymmetric constraints and input quantization. To overcome the difficulties of designing controllers under the state constraints, a unified barrier function approach is employed to construct a coordinate transformation that maps the original constrained system to an equivalent unconstrained one, thus relaxing the time-varying asymmetric constraints upon system states and avoiding the feasibility check condition typically required in the traditional barrier Lyapunov function based control approach. Meanwhile, the "explosion of complexity" problem in the traditional backstepping approach arising from repeatedly derivatives of virtual controllers is solved by using the command filter method. It is verified via the fixed-time Lyapunov stability criterion that the system output can track a desired signal within a small error range in a predetermined time, and that all system states remain in the constraint range. Finally, two simulation examples are offered to demonstrate the effectiveness of the proposed strategy.
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