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dc.contributor.author
Ferramosca, Antonio
dc.contributor.other
Negenborn, Rudy R.
dc.contributor.other
Maestre, José Maria
dc.date.available
2020-07-23T16:06:52Z
dc.date.issued
2014
dc.identifier.citation
Ferramosca, Antonio; Cooperative MPC with guaranteed exponential stability; Springer; 2014; 585-600
dc.identifier.isbn
978-94-007-7005-8
dc.identifier.uri
http://hdl.handle.net/11336/110072
dc.description.abstract
In this chapter, a cooperative distributed MPC is presented. The main features of this control strategy are: constraints satisfaction; cooperation between agents to achieve an agreement; closed-loop stability always ensured, even in case of just one iteration; the achieved control action is plantwide Pareto optimal and equivalent to the centralized solution; Pareto optimality is achieved also in case of coupled constraints; a coordination layer is not needed. It is proved that cooperative MPC is a particular case of suboptimal MPC; exponential stability is then proved, based on exponential stability of suboptimal centralized MPC.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Springer
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
MODEL PREDICTIVE CONTROL
dc.subject
DISTRIBUTED CONTROL
dc.subject
STABILITY
dc.subject.classification
Sistemas de Automatización y Control
dc.subject.classification
Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
dc.title
Cooperative MPC with guaranteed exponential stability
dc.type
info:eu-repo/semantics/publishedVersion
dc.type
info:eu-repo/semantics/bookPart
dc.type
info:ar-repo/semantics/parte de libro
dc.date.updated
2020-06-16T13:37:35Z
dc.journal.pagination
585-600
dc.journal.pais
Reino Unido
dc.description.fil
Fil: Ferramosca, Antonio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://link.springer.com/book/10.1007/978-94-007-7006-5
dc.conicet.paginas
600
dc.source.titulo
Distributed Model Predictive Control Made Easy
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