Identification of switched linear systems using subspace and integer programming techniques

被引：11

作者：

Egbunonu, P. ^{[1
]}

Guay, M. ^{[1
]}

机构：

[1] Queens Univ, Dept Chem Engn, Kingston, ON K7L 3N6, Canada

来源：

NONLINEAR ANALYSIS-HYBRID SYSTEMS | 2007年 / 1卷 / 04期

关键词：

Hybrid systems; Switched linear systems; Identification; Subspace methods;

D O I：

10.1016/j.nahs.2006.02.002

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We consider the identification of a switched linear system which consists of linear sub-models, with a rule that orchestrates the switching mechanism between the sub-models. Taking a set of switched linear systems and using a state space framework, we show that it is possible to combine subspace methods with mixed integer programming for system identification. The states of the system are first extracted from input output data using sub-space methods. Once the state variables are known, the switched system is re-written as a mixed logical dynamical (MLD) system and the model parameters are calculated for via mixed integer programming. We report an example at the end of this paper together with simulation results in the presence of noise. (C) 2007 Published by Elsevier Ltd

引用

页码：577 / 592

页数：16

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