Identifiability of diffusively coupled linear networks with partial instrumentation

被引：0
|
作者：
Kivits, E. M. M. [1 ]
Van den Hof, Paul M. J. [1 ]
机构：
[1] Eindhoven Univ Technol, Dept Elect Engn, Eindhoven, Netherlands
来源：
IFAC PAPERSONLINE | 2023年 / 56卷 / 02期
基金：
欧洲研究理事会;
关键词：
Identifiability; diffusive couplings; linear dynamic networks; experiment design; DYNAMICAL NETWORKS; COMPLEX NETWORKS; MODELS; IDENTIFICATION; SYSTEMS;
D O I：
10.1016/j.ifacol.2023.10.1213
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents identifiability conditions for identifying the complete dynamics of diffusively coupled linear networks. These conditions are derived by exploiting the uniqueness of the nonmonic polynomial network description, given the locations of the actuators and sensors. The analysis is performed under a more relaxed instrumentation setup than the typical restriction to a full set of sensors (full measurement) or a full set of actuators (full excitation). This leads to more general identifiability conditions, including more flexible instrumentation requirements. Copyright (c) 2023 The Authors.
引用
收藏
页码：2395 / 2400
页数：6
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