Paper Info
Title
Asymptotic Tracking Control of State-Constrained Nonlinear Systems With Time-Varying Powers
Abstract
This article investigates the asymptotic tracking control problem for full-state-constrained nonlinear systems with unknown time-varying powers. By introducing a nonlinear state-dependent transformation, a continuous bounded scalar function, and lower and higher powers into adding a power integrator control design, full-state constraints are skillfully handled without imposing frequently used feasibility conditions in traditional barrier Lyapunov function-based methods, and an asymptotic tracking control design is provided. It is proved that all the closed-loop signals are bounded, full-state constraints are not transgressed, and the asymptotic tracking is achieved.
Year
DOI
Venue
2022
10.1109/TCYB.2020.3015273
IEEE Transactions on Cybernetics
Keywords
DocType
Volume
Neural Networks, Computer,Nonlinear Dynamics
Journal
52
Issue
ISSN
Citations 
5
2168-2267
0
PageRank 
References 
Authors
0.34
36
3
Name
Order
Citations
PageRank
Ruiming Xie131.37
Chao Guo266.59
Xue-Jun Xie3111454.50