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H2 control and filtering of discrete-time lpv systems exploring statistical information of the time-varying parameters
| dc.contributor.author | Palma, Jonathan M. | |
| dc.contributor.author | Morais, Cecília F. | |
| dc.contributor.author | Oliveira, Ricardo C.L.F. | |
| dc.date.accessioned | 2020-10-30T13:38:35Z | |
| dc.date.available | 2020-10-30T13:38:35Z | |
| dc.date.issued | 2020 | |
| dc.identifier.uri | http://repositorio.ucm.cl/handle/ucm/3159 | |
| dc.description.abstract | This paper introduces a new strategy to improve performance in gain-scheduled control and filtering for LPV systems exploiting statistical information about the time-varying parameters whenever available. The novelty of the technique, named sub-domain optimization heuristic (SDOH), is to design controllers or filters treating robust stability independently of performance. The performance is optimized only in a sub-domain of the time-varying parameters, where a higher frequency of occurrence is expected, while the robust stability is certificated for the whole domain. The problem of gain-scheduled design subject to inexact measurements is discussed in details as main motivation but any other feedback or filter strategy for LPV systems were statistical information about the time-varying parameters is known can be handled in a similar way. Still in the context of inexact measurements, a more complete modeling for the additive uncertainty is given, generalizing previous results from the literature for two types of uncertainties, polytopic and affine. A new design condition for H2 full-order LPV filtering is also given as contribution. Several numerical examples are presented to illustrate the results. | es_CL |
| dc.language.iso | en | es_CL |
| dc.rights | Atribución-NoComercial-SinDerivadas 3.0 Chile | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/cl/ | * |
| dc.source | Journal of the Franklin Institute, 357(6), 3835-3864 | es_CL |
| dc.title | H2 control and filtering of discrete-time lpv systems exploring statistical information of the time-varying parameters | es_CL |
| dc.type | Article | es_CL |
| dc.ucm.facultad | Facultad de Ciencias de la Ingeniería | es_CL |
| dc.ucm.indexacion | Scopus | es_CL |
| dc.ucm.indexacion | Isi | es_CL |
| dc.ucm.uri | sibib2.ucm.cl:2048/login?url=https://www.sciencedirect.com/science/article/abs/pii/S0016003220301137 | es_CL |
| dc.ucm.doi | doi.org/10.1016/j.jfranklin.2020.02.029 | es_CL |
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