Adaptive robust control of a class of nonlinear strict-feedback discrete-time systems with unknown control directions

被引:82
|
作者
Ge, Shuzhi Sam [1 ]
Yang, Chenguang
Lee, Tong Heng
机构
[1] Natl Univ Singapore, Social Robot Lab, Interact Digital Media Inst, Singapore 117576, Singapore
关键词
adaptive control; nonlinear discrete-time systems; strict-feedback systems; discrete Nussbaum gain;
D O I
10.1016/j.sysconle.2008.04.006
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, adaptive control is studied for a class of nonlinear discrete-time systems in strict-feedback form with unknown control directions. The system is transformed to an n-step ahead predictor, based on which an adaptive control employing the predicted future states has been proposed. The discrete Nussbaum gain is exploited to overcome the difficulty caused by unknown control directions. The proposed control guarantees the boundedness of all the closed-loop signals and the output tracking error can be made to converge to zero if the system is free of external disturbance. The effectiveness of the proposed control is demonstrated in the simulation. (C) 2008 Elsevier B.V. All rights reserved.
引用
收藏
页码:888 / 895
页数:8
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