Nonlinear Observer Design for Systems with Unknown Nonlinearity Via B-Spline Network Approach
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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,说明了该方法的优越性.Abstract: 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
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Key words:
- Nonlinear system /
- observer /
- neural network
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