Identification for systems with bounded noise

被引:34
作者
Tan, GJ
Wen, CY
Sob, YC
机构
[1] School of Electrical and Electronic Engineering, Nanyang Technological University
关键词
bounded noise; parameter estimation; set-membership; weighting factor;
D O I
10.1109/9.599981
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, we present a set-membership identification algorithm for systems with unknown but bounded disturbance. The algorithm contains a weighting factor which is selected according to whether the new observed data contains sufficient information. The proposed approach ensures that the estimation error is bounded and nonincreasing. Furthermore, it will be shown that the parameter estimates provided by the algorithm will converge to a region containing the true parameters, and its upper hound is also given.
引用
收藏
页码:996 / 1001
页数:6
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