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
收藏
页码：470 / 475
页数：6
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