DocumentCode
3683067
Title
Robust Adaptive Asymptotic Tracking of Nonlinear Systems in a Semi-strict Feedback Form
Author
Baijun Tian; Zhengjiang Liu
Author_Institution
Navig. Coll., Dalian Maritime Univ., Dalian, China
fYear
2015
Firstpage
233
Lastpage
237
Abstract
For a class of nonlinear systems in a semistrict feedback form with both parametric uncertainty and unknown nonlinearities, a new control design scheme based on backstepping approach is proposed. The Nussbaum gain technique is used as a robust control term to deal with unknown nonlinearities for the first time. This gives a continuous control, in contrast to those schemes using the sign function to obtain zero steady-state tracking error. It is shown that the proposed adaptive scheme can guarantee the global uniform boundedness of all signals and achieve asymptotic tracking property with the continuous control.
Keywords
"Nonlinear systems","Robustness","Uncertainty","Backstepping","Adaptive control","Lyapunov methods"
Publisher
ieee
Conference_Titel
Frontier of Computer Science and Technology (FCST), 2015 Ninth International Conference on
Type
conf
DOI
10.1109/FCST.2015.26
Filename
7314682
Link To Document