Robust [hamilt] sub( infinity ) filtering for uncertain discrete-time state-delayed systems
This paper addresses the problem of robust [hamilt] sub( infinity ) filtering for linear discrete-time systems subject to parameter uncertainties in the system state-space model and with multiple time delays in the state variables. The uncertain parameters are supposed to belong to a given convex bo...
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| Veröffentlicht in: | IEEE transactions on signal processing 2001-01, Vol.49 (8) |
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| container_title | IEEE transactions on signal processing |
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| creator | Palhares, R M de Souza, CE Dias Peres, PL |
| description | This paper addresses the problem of robust [hamilt] sub( infinity ) filtering for linear discrete-time systems subject to parameter uncertainties in the system state-space model and with multiple time delays in the state variables. The uncertain parameters are supposed to belong to a given convex bounded polyhedral domain. A methodology is developed to design a stable linear filter that assures asymptotic stability and a prescribed [hamilt] sub( infinity ) performance for the filtering error, irrespective of the uncertainty and the time delays. The proposed design is given in terms of linear matrix inequalities, which has the advantage in that it can be implemented numerically very efficiently |
| doi_str_mv | 10.1109/78.934139 |
| format | Article |
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| identifier | ISSN: 1053-587X |
| ispartof | IEEE transactions on signal processing, 2001-01, Vol.49 (8) |
| issn | 1053-587X |
| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Asymptotic properties Design engineering Filtering Filtration Mathematical analysis Mathematical models Time delay Uncertainty |
| title | Robust [hamilt] sub( infinity ) filtering for uncertain discrete-time state-delayed systems |
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