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dc.contributor.authorPeñarrocha-Alós, Ignacio
dc.contributor.authorDolz Algaba, Daniel
dc.contributor.authorSanchis Llopis, Roberto
dc.date.accessioned2014-03-26T09:50:48Z
dc.date.available2014-03-26T09:50:48Z
dc.date.issued2013-01
dc.identifier.citationPEÑARROCHA, I.; DOLZ, D.; SANCHIS, R. Inferential networked control with accessibility constraints in both the sensor and actuator channels. International Journal of Systems Science, 2013, ahead-of-print: 1-16.ca_CA
dc.identifier.issn0020-7721
dc.identifier.urihttp://hdl.handle.net/10234/88609
dc.description.abstractThe predictor and controller design for an inferential control scheme over a network is addressed. A linear plant with disturbances and measurement noise is assumed to be controlled by a controller that communicates with the sensors and the actuators through a constrained network. An algorithm is proposed such that the scarce available outputs are used to make a prediction of the system evolution with an observer that takes into account the amount of lost data between successful measurements transmissions. The state prediction is then used to calculate the control actions sent to the actuator. The possibility of control action drop due to network constraints is taken into account. This networked control scheme is analyzed and both the predictor and controller designs are addressed taking into account the disturbances, the measurement noise, the scarce availability of output samples and the scarce capability of control actions update. The time-varying sampling periods that result for the process inputs and outputs due to network constraints have been determined as a function of the probability of successful transmission on a specified time with a Bernoulli distribution. For both designs H∞ performance has been established and LMI design techniques have been used to achieve a numerical solution.ca_CA
dc.format.extent25 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherTaylor & Francisca_CA
dc.relation.isPartOfInternational Journal of Systems Science, 2013ca_CA
dc.rights© 2013 Taylor & Francis Groupca_CA
dc.subjectnetworked controlca_CA
dc.subjectinferential controlca_CA
dc.subjectnetworked estimationca_CA
dc.subjectlinear matrix inequalitiesca_CA
dc.titleInferential networked control with accessibility constraints in both the sensor and actuator channelsca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.identifier.doihttp://dx.doi.org/10.1080/00207721.2012.745030
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_CA
dc.relation.publisherVersionhttp://www.tandfonline.com/doi/full/10.1080/00207721.2012.745030ca_CA


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