Adaptive observer for a class of nonlinear systems using neural networks

J. Choi, J. Farrell
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引用次数: 15

Abstract

This paper presents an adaptive observer using neural networks for a class of nonlinear systems. The adaptive observer follows the nonlinear model estimation method for automated fault diagnosis. The contributions of this article include: modification of the estimation model as appropriate for certain nonlinear control applications; modification of the stability proofs; investigation of the observer performance through an illustrative simulation.
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一类基于神经网络的非线性系统自适应观测器
针对一类非线性系统,提出了一种基于神经网络的自适应观测器。自适应观测器采用非线性模型估计方法进行故障自动诊断。本文的贡献包括:修改估计模型以适应某些非线性控制应用;稳定性证明的修改;通过说明性仿真研究观测器的性能。
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