Adaptive model reference control of a class of MIMO discrete-time systems with compensation of nonparametric uncertainty

被引：18
|
作者：
Yang, Chenguang [1 ]
Zhai, Lianfei [2 ]
Ge, Shuzhi Sam [1 ]
Chai, Tianyou [2 ]
Lee, Tong Heng [1 ]
机构：
[1] Natl Univ Singapore, Social Robot Lab, Interact Digital Media Inst, Singapore 117576, Singapore
[2] Northeastern Univ, Res Ctr Automat, Minist Educ, Key Lab Proc Ind Automat, Shenyang 110004, Peoples R China
来源：
2008 AMERICAN CONTROL CONFERENCE, VOLS 1-12 | 2008年
关键词：
D O I：
10.1109/ACC.2008.4587137
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 model reference control is investigated for a class of discrete-time multi-input-multi-output (MIMO) systems. Estimation of both unknown system parameters and nonparametric model uncertainty is constructed. Based on the estimation, a novel adaptive control is proposed which completely compensates the nonparametric model uncertainty. The boundedness of the closed-loop signals are guaranteed and the outputs are made asymptotically track the reference model outputs if there is no external disturbance. Simulation results are presented to demonstrate the effectiveness of the proposed control approach.
引用
收藏
页码：4111 / +
页数：2
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