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Dimension estimation for autonomous nonlinear systems
File(s)
Author(s)
Padoan, A
Astolfi, A
Type
Conference Paper
Abstract
The problem of estimating the dimension of the state-space of an autonomous nonlinear system is considered. Assuming that sampled measurements of the output and finitely many of its time derivatives are available, an exhaustive search algorithm able to retrieve the dimension of the minimal state-space realization is proposed. The performance of the algorithm are evaluated on specific nonlinear systems.
Date Issued
2015-12-18
Date Acceptance
2015-07-25
Citation
2015 54th IEEE Conference on Decision and Control (CDC), 2015, pp.103-108
URI
DOI
ISBN
978-1-4799-7884-7
Publisher
IEEE
Start Page
103
End Page
108
Journal / Book Title
2015 54th IEEE Conference on Decision and Control (CDC)
Copyright Statement
© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Source
54th IEEE Conference on Decision and Control
Publication Status
Published
Start Date
2015-12-15
Finish Date
2015-12-18
Coverage Spatial
Osaka, Japan