Title
Robust adaptive control for prescribed performance tracking of constrained uncertain nonlinear systems.
Abstract
This paper proposes a robust adaptive control strategy for a class of state-constrained uncertain nonlinear systems with prescribed transient and steady-state behavior. The prescribed tracking performance can be characterized by constraints on an output tracking error. Both state and output constraints are achieved by bounding integral barrier Lyapunov functions in the backstepping procedure. A robust adaptive term is designed to compress auxiliary system uncertainties without the knowledge of their bounds. The satisfaction of control constraints and tracking error convergence are verified by theoretical analysis and are illustrated by simulation results.
Year
DOI
Venue
2019
10.1016/j.jfranklin.2018.09.005
Journal of the Franklin Institute
Field
DocType
Volume
Lyapunov function,Mathematical optimization,Backstepping,Nonlinear system,Control theory,Tracking error convergence,Adaptive control,Mathematics,Bounding overwatch,Tracking error
Journal
356
Issue
ISSN
Citations 
1
0016-0032
0
PageRank 
References 
Authors
0.34
19
2
Name
Order
Citations
PageRank
Tairen Sun11359.17
Yongping Pan266037.53