Journal article
Persistence of excitation for identifying switched linear systems
Automatica (Oxford), Vol.137, 110142
03/2022
DOI: 10.1016/j.automatica.2021.110142
Abstract
This paper investigates the uniqueness of parameters via persistence of excitation for switched linear systems. The main contribution is a much weaker sufficient condition on the regressors to be persistently exciting that guarantees the uniqueness of the parameter sets and also provides new insights in understanding the relation among different subsystems. It is found that for uniquely determining the parameters of switched linear systems, the needed minimum number of samples derived from our sufficient condition is much smaller than that reported in the literature.
Details
- Title: Subtitle
- Persistence of excitation for identifying switched linear systems
- Creators
- Biqiang Mu - Key Laboratory of Systems and Control, Institute of Systems Science, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, ChinaTianshi Chen - School of Science and Engineering and Shenzheng Research Institute of Big Data, The Chinese University of Hong Kong, ShenZheng 518172, ChinaChangming Cheng - State Key Laboratory of Mechanical Systems and Vibration, Shanghai Jiaotong University, Shanghai, ChinaEr-wei Bai - Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA 52242, United States of America
- Resource Type
- Journal article
- Publication Details
- Automatica (Oxford), Vol.137, 110142
- DOI
- 10.1016/j.automatica.2021.110142
- ISSN
- 0005-1098
- eISSN
- 1873-2836
- Publisher
- Elsevier Ltd
- Grant note
- National Natural Science Foundation of China (http://dx.doi.org/10.13039/501100001809) JCY20170411102101881 / Shenzhen Science and Technology Innovation Council, China Chinese University of Hong Kong (http://dx.doi.org/10.13039/501100004853) 2018AAA0101002; NIHR15AG061755-01; NIHR42CA195819 / MOST of China (http://dx.doi.org/10.13039/501100002855) central government of China
- Language
- English
- Date published
- 03/2022
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984209494802771
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