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首页> 外文期刊>Mechanical systems and signal processing >Identification of continuous-time nonlinear systems: The nonlinear difference equation with moving average noise (NDEMA) framework
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Identification of continuous-time nonlinear systems: The nonlinear difference equation with moving average noise (NDEMA) framework

机译：连续时间非线性系统的识别：具有移动平均噪声（NDEMA）框架的非线性差分方程

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摘要

Although a vast number of techniques for the identification of nonlinear discrete-time systems have been introduced, the identification of continuous-time nonlinear systems is still extremely difficult. In this paper, the Nonlinear Difference Equation with Moving Average noise (NDEMA) model which is a general representation of nonlinear systems and contains, as special cases, both continuous-time and discrete-time models, is first proposed. Then based on this new representation, a systematic framework for the identification of nonlinear continuous-time models is developed. The new approach can not only detect the model structure and estimate the model parameters, but also work for noisy nonlinear systems. Both simulation and experimental examples are provided to illustrate how the new approach can be applied in practice.
机译：尽管已经引入了许多用于识别非线性离散时间系统的技术，但是识别连续时间非线性系统仍然非常困难。在本文中，首先提出了带有移动平均噪声的非线性差分方程（NDEMA）模型，该模型是非线性系统的通用表示形式，并且在特殊情况下包含连续时间模型和离散时间模型。然后，基于这种新的表示，开发了用于识别非线性连续时间模型的系统框架。新方法不仅可以检测模型结构并估计模型参数，而且还可以用于嘈杂的非线性系统。提供了仿真和实验示例，以说明如何在实践中应用新方法。

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