Exponential H∞ stabilizing control of a class of uncertain impulsive switched systems
Sparse tensor optimization has recently attracted much attention since it has many applications in areas such as biology, computer vision and information science. In this paper, we focus on the application of tensor optimization in surveillance video. Based on the static background of surveillance v...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
YOKOHAMA PUBL
2015
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| Online Access: | http://www.ybook.co.jp/online2/oppjo/vol11/p549.html http://hdl.handle.net/20.500.11937/3522 |
| _version_ | 1848744255220088832 |
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| author | Xu, Honglei Teo, Kok Lay Jiang, C. |
| author_facet | Xu, Honglei Teo, Kok Lay Jiang, C. |
| author_sort | Xu, Honglei |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Sparse tensor optimization has recently attracted much attention since it has many applications in areas such as biology, computer vision and information science. In this paper, we focus on the application of tensor optimization in surveillance video. Based on the static background of surveillance video, we introduce the new definition of rank-min-one tensor. Then we consider a rank-min-one and sparse tensor decomposition model for surveillance video. We establish the modified iterative reweighted l1algorithm (MIRL1), and give its convergence analysis. For synthetic and real surveillance data, numerical experiments are also presented to illustrate the efficiency of our proposed MIRL1. |
| first_indexed | 2025-11-14T05:58:33Z |
| format | Journal Article |
| id | curtin-20.500.11937-3522 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T05:58:33Z |
| publishDate | 2015 |
| publisher | YOKOHAMA PUBL |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-35222017-01-30T10:31:54Z Exponential H∞ stabilizing control of a class of uncertain impulsive switched systems Xu, Honglei Teo, Kok Lay Jiang, C. Sparse tensor optimization has recently attracted much attention since it has many applications in areas such as biology, computer vision and information science. In this paper, we focus on the application of tensor optimization in surveillance video. Based on the static background of surveillance video, we introduce the new definition of rank-min-one tensor. Then we consider a rank-min-one and sparse tensor decomposition model for surveillance video. We establish the modified iterative reweighted l1algorithm (MIRL1), and give its convergence analysis. For synthetic and real surveillance data, numerical experiments are also presented to illustrate the efficiency of our proposed MIRL1. 2015 Journal Article http://hdl.handle.net/20.500.11937/3522 http://www.ybook.co.jp/online2/oppjo/vol11/p549.html YOKOHAMA PUBL restricted |
| spellingShingle | Xu, Honglei Teo, Kok Lay Jiang, C. Exponential H∞ stabilizing control of a class of uncertain impulsive switched systems |
| title | Exponential H∞ stabilizing control of a class of uncertain impulsive switched systems |
| title_full | Exponential H∞ stabilizing control of a class of uncertain impulsive switched systems |
| title_fullStr | Exponential H∞ stabilizing control of a class of uncertain impulsive switched systems |
| title_full_unstemmed | Exponential H∞ stabilizing control of a class of uncertain impulsive switched systems |
| title_short | Exponential H∞ stabilizing control of a class of uncertain impulsive switched systems |
| title_sort | exponential h∞ stabilizing control of a class of uncertain impulsive switched systems |
| url | http://www.ybook.co.jp/online2/oppjo/vol11/p549.html http://hdl.handle.net/20.500.11937/3522 |