dc.contributor.author | Denis Efimov | |
dc.contributor.author | Edwards, C | |
dc.contributor.author | Ali Zolghadri | |
dc.date.accessioned | 2016-05-16T10:55:37Z | |
dc.date.issued | 2016-07-18 | |
dc.description.abstract | The problem studied in this paper is one of improving the performance of a class of adaptive observer in the presence of exogenous disturbances. The H1 gains of both, a conventional and the newly proposed sliding-mode adaptive observer, are evaluated to assess the effect of disturbances on the estimation errors. It is shown that if the disturbance is \matched" in the plant equations, then including an additional sliding-mode feedback injection term, dependent on the plant output, improves the accuracy of observation. | en_GB |
dc.identifier.citation | Vol. 72, pp. 53-56 | |
dc.identifier.doi | 10.1016/j.automatica.2016.05.029 | |
dc.identifier.uri | http://hdl.handle.net/10871/21555 | |
dc.language.iso | en | en_GB |
dc.publisher | Elsevier | en_GB |
dc.rights.embargoreason | Publisher policy | en_GB |
dc.title | Enhancement of adaptive observer robustness applying sliding mode techniques | en_GB |
dc.type | Article | en_GB |
dc.identifier.issn | 1873-2836 | |
dc.description | This is the author accepted manuscript. The final version is available from Elsevier via the DOI in this record. | |
dc.identifier.journal | Automatica | en_GB |