摘要
对线性部分已知、非线性部分未知的一类非线性系统 ,提出了一种新的状态观测器的设计方法 .首先针对线性部分设计线性观测器 ,随后在线性观测器中加入非线性补偿项 .该补偿项先由“反卷积”的方式确定 ,再用 B-样条神经网络拟合 .对三个非线性系统设计了观测器 ,通过与已有的解析方法进行比较 。
A novel approach is proposed for the state estimation of a class of nonlinear systems which consist of known linear part and unknown nonlinear part. A linear observer is first designed, then a nonlinear compensation term in the nonlinear observer is estimated by using a “deconvolution method”. The B spline neural network is used to model the obtained compensation term. Three simulation examples are given to show the effectiveness of the proposed approach
出处
《自动化学报》
EI
CSCD
北大核心
2000年第2期199-205,共7页
Acta Automatica Sinica
