Automatic Modeling with Local Model Networks for Benchmark Processes

被引：9

作者：

Belz, Julian ^{[1
]}

Muenker, Tobias ^{[1
]}

Heinz, Tim O. ^{[1
]}

Kampmann, Geritt ^{[1
]}

Nelles, Oliver ^{[1
]}

机构：

[1] Univ Siegen, Automat Control Mechatron, Siegen, Germany

来源：

IFAC PAPERSONLINE | 2017年 / 50卷 / 01期

关键词：

Local Model Network; LMN; HILOMOT; LOLIMOT; System Identification; Benchmark Process; Bouc-Wen; Wiener-Hammerstein; Cascaded Tanks; Nonlinear Dynamic Systems; NARX; NFIR; NOBF; SYSTEM-IDENTIFICATION;

D O I：

10.1016/j.ifacol.2017.08.089

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper an automated model generation framework is used to identify three nonlinear dynamic benchmark processes. The nonlinearity is approximated using tree-based local model networks (LMN) with external dynamics, which are represented by three different approaches: NARX, NFIR and NOBF. The automated method assumes no prior knowledge about the process, and aims to be a ready-to-use tool for system identification. Results are given for the different approaches and benchmark processes. The importance of the choice of training data for a good generalizing model performance is discussed. (C) 2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

引用

页码：470 / 475

页数：6

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