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Control kernel based adaptive control implementation

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Control kernel based adaptive control implementation

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dc.contributor.author Simarro Fernández, Raúl es_ES
dc.contributor.author Albertos Pérez, Pedro es_ES
dc.contributor.author Simó Ten, José Enrique es_ES
dc.date.accessioned 2016-04-07T10:05:10Z
dc.date.available 2016-04-07T10:05:10Z
dc.date.issued 2013-02
dc.identifier.issn 1551-3688
dc.identifier.uri http://hdl.handle.net/10251/62334
dc.description.abstract [EN] A control system with distributed computing resources always should guarantee the safe control of the plant. In this contribution, the concept of control kernel is used for that purpose. Two types of nodes with different resources are defined: the powerful server node and the resource-constrained light node. This architecture allows to split the control tasks into two blocks. Those demanding strong computing resources are allocated in the server nodes and those compelling tasks required to ensure the safety of the controlled plant are allocated in the light nodes. Resource limitations lead to control adaptation. Two simple applications illustrate some of the benefits of this architecture with one server node and one light node, even the architecture can be extended to several nodes. In the first case, an adaptive control is implemented in the server node, providing the control algorithm to the light node, which is also able to compute a local safe control action. In the second experiment, two different control tasks requiring different resources are implemented in a mobile robot control. To keep bounded the computing time at the local level, the supervisor decides the time allocated to each activity, providing the resulting controller to the light node. es_ES
dc.description.sponsorship This work has been partially granted by Conselleria de Educación Generalitat Valenciana, under PROMETEO project number 2008-088, and Ministerio de Ciencia e Innovaci´on under COBAMI project DPI2011-28507-C02-01/02.
dc.language Inglés es_ES
dc.publisher Association for Computing Machinery (ACM) es_ES
dc.relation.ispartof SIGBED review es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Distributed control systems es_ES
dc.subject Adaptive control es_ES
dc.subject Embedded systems es_ES
dc.subject Control middleware es_ES
dc.subject.classification INGENIERIA DE SISTEMAS Y AUTOMATICA es_ES
dc.subject.classification ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES es_ES
dc.title Control kernel based adaptive control implementation es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1145/2492385.2492389
dc.relation.projectID info:eu-repo/grantAgreement/GVA//PROMETEO08%2F2008%2F088/ES/Nuevas Estrategias para el Diseño de Sistemas de Control Multivariable/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//DPI2011-28507-C02-01/ES/DESARROLLO DE CONTROLADORES BASADOS EN MISIONES/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//DPI2011-28507-C02-02/ES/SOPORTE DE EJECUCION FIABLE DE SISTEMAS DE CONTROL BASADOS EN MISIONES/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors es_ES
dc.description.bibliographicCitation Simarro Fernández, R.; Albertos Pérez, P.; Simó Ten, JE. (2013). Control kernel based adaptive control implementation. SIGBED review. 10(1):24-28. https://doi.org/10.1145/2492385.2492389 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1145/2492385.2492389 es_ES
dc.description.upvformatpinicio 24 es_ES
dc.description.upvformatpfin 28 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 10 es_ES
dc.description.issue 1 es_ES
dc.relation.senia 257179 es_ES
dc.contributor.funder Generalitat Valenciana
dc.contributor.funder Ministerio de Ciencia e Innovación


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