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Article: Adaptive linear control of nonlinear systems
Title | Adaptive linear control of nonlinear systems |
---|---|
Authors | |
Issue Date | 1990 |
Citation | Ieee Transactions On Automatic Control, 1990, v. 35 n. 11, p. 1253-1257 How to Cite? |
Abstract | The theory of stable parameter adaptive control has advanced to allow linear time-varying plants. However, a more honest view of such systems is that they are often derived from inexact linearization about a trajectory of a nonlinear system. Standard adaptive control based on a linear model can then be interpreted as one way to realize a nonlinear controller for a nonlinear plant. The implications of this view are studied. Analytically, the stability problem is seen to be equivalent to showing robustness to time-varying parameters and a locally bounded model uncertainty. It is shown that if the trajectory is known to be within a bound, a parameter estimator with projection can ensure boundedness of departures from the trajectory. |
Persistent Identifier | http://hdl.handle.net/10722/169627 |
ISSN | 2021 Impact Factor: 6.549 2020 SCImago Journal Rankings: 3.436 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Wen, Changyun | en_US |
dc.contributor.author | Hill, David J | en_US |
dc.date.accessioned | 2012-10-25T04:53:56Z | - |
dc.date.available | 2012-10-25T04:53:56Z | - |
dc.date.issued | 1990 | en_US |
dc.identifier.citation | Ieee Transactions On Automatic Control, 1990, v. 35 n. 11, p. 1253-1257 | en_US |
dc.identifier.issn | 0018-9286 | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/169627 | - |
dc.description.abstract | The theory of stable parameter adaptive control has advanced to allow linear time-varying plants. However, a more honest view of such systems is that they are often derived from inexact linearization about a trajectory of a nonlinear system. Standard adaptive control based on a linear model can then be interpreted as one way to realize a nonlinear controller for a nonlinear plant. The implications of this view are studied. Analytically, the stability problem is seen to be equivalent to showing robustness to time-varying parameters and a locally bounded model uncertainty. It is shown that if the trajectory is known to be within a bound, a parameter estimator with projection can ensure boundedness of departures from the trajectory. | en_US |
dc.language | eng | en_US |
dc.relation.ispartof | IEEE Transactions on Automatic Control | en_US |
dc.title | Adaptive linear control of nonlinear systems | en_US |
dc.type | Article | 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.doi | 10.1109/9.59813 | en_US |
dc.identifier.scopus | eid_2-s2.0-0025519241 | en_US |
dc.identifier.volume | 35 | en_US |
dc.identifier.issue | 11 | en_US |
dc.identifier.spage | 1253 | en_US |
dc.identifier.epage | 1257 | en_US |
dc.identifier.isi | WOS:A1990EE31200011 | - |
dc.publisher.place | United States | en_US |
dc.identifier.scopusauthorid | Wen, Changyun=7201366998 | en_US |
dc.identifier.scopusauthorid | Hill, David J=35398599500 | en_US |
dc.identifier.issnl | 0018-9286 | - |