A new convergence analysis for the Volterra series representation of nonlinear systems

被引:15
作者
Zhu, Yun-Peng [1 ]
Lang, Z. Q. [1 ]
机构
[1] Univ Sheffield, Dept Automat Control & Syst Engn, Mappin St, Sheffield S1 3JD, S Yorkshire, England
基金
英国工程与自然科学研究理事会;
关键词
Volterra series; NARX model; Nonlinear systems; Convergence criterion; FREQUENCY-RESPONSE FUNCTION; STABILITY; ALGORITHM;
D O I
10.1016/j.automatica.2019.108599
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The convergence of the Volterra series representation of nonlinear systems is the fundamental requirement for the analysis of nonlinear systems in the frequency domain. In the present study, a new criterion is derived to determine the convergence of the Volterra series representation of nonlinear systems described by a NARX (Nonlinear Auto Regressive with eXegenous input) model. The analysis is performed based on a new function known as Generalized Output Bound Characteristic Function (GOBCF), which is defined in terms of the input, output and parameters of the NARX model of nonlinear systems. Compared to the existing results, the new criterion provides a much more rigorous and effective approach to the analysis of the convergence conditions and properties of the Volterra series representation of nonlinear systems. Two case studies have been used to demonstrate the effectiveness of the new convergence analysis criterion and the advantages of the new analysis over those produced by existing approaches. (C) 2019 Elsevier Ltd. All rights reserved.
引用
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页数:10
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