Paper Info
Title
Removing feasibility conditions on practical preassigned finite-time tracking for state-constrained high-order nonlinear systems
Abstract
This paper investigates practical preassigned finite-time tracking control for state-constrained high-order nonlinear systems. Fuzzy systems are utilised to remove frequently used growth assumptions on completely unknown nonlinearities. By integrating nonlinear transformed functions with a key coordinate transformation into control design, full-state constraints can be handled without imposing feasibility conditions in traditional barrier Lyapunov function-based control methods. It is rigorously proved that the states of fuzzy systems remain within a specific compact set, on which fuzzy approximation is valid. Besides, asymmetric full-state constraints aren't violated for all time, and the tracking error converges to the prescribed small region around zero in a preassigned finite-time. Two simulation examples show the effectiveness and advantages of this control scheme.
Year
DOI
Venue
2022
10.1080/00207179.2020.1798026
INTERNATIONAL JOURNAL OF CONTROL
Keywords
DocType
Volume
High-order nonlinear systems, full-state constraints, practical preassigned finite-time control, feasibility conditions
Journal
95
Issue
ISSN
Citations 
2
0020-7179
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Ruiming Xie131.37
You Wu2393.83
Xue-Jun Xie3111454.50