基于b样条网络的未知非线性非线性观测器设计

H. Zhang, C. Chan, K. Cheung, H. Jin
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引用次数: 6

摘要

针对一类由已知线性部分和未知非线性部分组成的非线性系统,提出了一种新的状态估计方法。首先设计一个线性观测器,然后利用所提出的“反卷积法”确定非线性观测器中的非线性补偿项。采用b样条神经网络对估计补偿项进行建模。给出了三个仿真实例,比较了该方法与一些分析方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Nonlinear observer design with unknown nonlinearity via B-spline network approach
A novel approach is proposed to 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 determined using the proposed "deconvolution method". The B-spline neural network is used to model the estimated compensation term. Three simulation examples are given to compare the effectiveness of the proposed approach and some analytical approaches.
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