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Conference Paper: STOCHASTIC ADAPTIVE CONTROL FOR EXPONENTIALLY CONVERGENT TIME-VARYING SYSTEMS.
Title | STOCHASTIC ADAPTIVE CONTROL FOR EXPONENTIALLY CONVERGENT TIME-VARYING SYSTEMS. |
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Authors | |
Issue Date | 1984 |
Citation | Proceedings Of The Ieee Conference On Decision And Control, 1984, p. 39-44 How to Cite? |
Abstract | It is shown that the standard stochastic adaptive control algorithms for time-invariant systems have an inherent robustness property which renders them applicable, without modification, to time-varying systems whose parameters converge exponentially. One class of systems satisfying this requirement is the class having non-steady-state Kalman filter or innovations representations. This allows the usual assumption of a stationary ARMAX representation to be replaced by a more general state space model. |
Persistent Identifier | http://hdl.handle.net/10722/169766 |
ISSN | 2020 SCImago Journal Rankings: 0.395 |
DC Field | Value | Language |
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dc.contributor.author | Goodwin, Graham C | en_US |
dc.contributor.author | Hill, David J | en_US |
dc.contributor.author | Xie, Xianya | en_US |
dc.date.accessioned | 2012-10-25T04:55:31Z | - |
dc.date.available | 2012-10-25T04:55:31Z | - |
dc.date.issued | 1984 | en_US |
dc.identifier.citation | Proceedings Of The Ieee Conference On Decision And Control, 1984, p. 39-44 | en_US |
dc.identifier.issn | 0191-2216 | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/169766 | - |
dc.description.abstract | It is shown that the standard stochastic adaptive control algorithms for time-invariant systems have an inherent robustness property which renders them applicable, without modification, to time-varying systems whose parameters converge exponentially. One class of systems satisfying this requirement is the class having non-steady-state Kalman filter or innovations representations. This allows the usual assumption of a stationary ARMAX representation to be replaced by a more general state space model. | en_US |
dc.language | eng | en_US |
dc.relation.ispartof | Proceedings of the IEEE Conference on Decision and Control | en_US |
dc.title | STOCHASTIC ADAPTIVE CONTROL FOR EXPONENTIALLY CONVERGENT TIME-VARYING SYSTEMS. | en_US |
dc.type | Conference_Paper | en_US |
dc.identifier.email | Hill, David J: | en_US |
dc.identifier.authority | Hill, David J=rp01669 | en_US |
dc.description.nature | link_to_subscribed_fulltext | en_US |
dc.identifier.scopus | eid_2-s2.0-0021641624 | en_US |
dc.identifier.spage | 39 | en_US |
dc.identifier.epage | 44 | en_US |
dc.identifier.scopusauthorid | Goodwin, Graham C=7201955514 | en_US |
dc.identifier.scopusauthorid | Hill, David J=35398599500 | en_US |
dc.identifier.scopusauthorid | Xie, Xianya=7402761744 | en_US |
dc.identifier.issnl | 0191-2216 | - |