Failure identification for 3D linear systems
| dc.contributor.author | Maleki, S. | |
| dc.contributor.author | Rapisarda, P. | |
| dc.contributor.author | Ntogramatzidis, Lorenzo | |
| dc.contributor.author | Rogers, E. | |
| dc.date.accessioned | 2018-01-30T08:04:07Z | |
| dc.date.available | 2018-01-30T08:04:07Z | |
| dc.date.created | 2018-01-30T05:59:04Z | |
| dc.date.issued | 2015 | |
| dc.identifier.citation | Maleki, S. and Rapisarda, P. and Ntogramatzidis, L. and Rogers, E. 2015. Failure identification for 3D linear systems. Multidimensional Systems and Signal Processing. 26 (2): pp. 481-502. | |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/61206 | |
| dc.identifier.doi | 10.1007/s11045-013-0271-2 | |
| dc.description.abstract |
Geometric control theory is used to investigate the problem of fault detection and isolation for 3D linear systems described by Fornasini–Marchesini models with the aim using these results in applications areas such as wireless sensor networks. Necessary and sufficient conditions for the existence of a solution to this problem are established together with constructive methods for the design of observers for fault detection and identification. | |
| dc.publisher | Springer Netherlands | |
| dc.title | Failure identification for 3D linear systems | |
| dc.type | Journal Article | |
| dcterms.source.volume | 26 | |
| dcterms.source.number | 2 | |
| dcterms.source.startPage | 481 | |
| dcterms.source.endPage | 502 | |
| dcterms.source.issn | 0923-6082 | |
| dcterms.source.title | Multidimensional Systems and Signal Processing | |
| curtin.department | Department of Mathematics and Statistics | |
| curtin.accessStatus | Fulltext not available |
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