Title
Robust Adaptive Control Of Strict-Feedback Nonlinear Systems With Nonlinear Parameterization
Abstract
This paper presents a new robust adaptive control approach for a class of uncertain strict feedback nonlinear systems with nonlinear parameterization by employing Nussbaum gain and a smooth parameter projection algorithm. It is proved that the proposed adaptive scheme can guarantee the global uniform ultimate boundedness of the closed-loop system signals with transient specifications. The control performance can be guaranteed by an appropriate choice of the design parameters.
Publication Date
11-6-2003
Publication Title
Proceedings of the American Control Conference
Volume
4
Number of Pages
3026-3031
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
0142152999 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/0142152999
STARS Citation
Wang, Jing and Qu, Zhihua, "Robust Adaptive Control Of Strict-Feedback Nonlinear Systems With Nonlinear Parameterization" (2003). Scopus Export 2000s. 1524.
https://stars.library.ucf.edu/scopus2000/1524