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Multi-objective model-free control based on population dynamics and cooperative games
dc.contributor.author | Barreiro Gómez, Julián |
dc.contributor.author | Ocampo-Martínez, Carlos |
dc.contributor.author | Maestre Torreblanca, José María |
dc.contributor.author | Quijano Silva, Nicanor |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial |
dc.date.accessioned | 2016-03-07T12:39:31Z |
dc.date.available | 2016-03-07T12:39:31Z |
dc.date.issued | 2015 |
dc.identifier.citation | Barreiro, J., Ocampo-Martinez, C.A., Maestre, J., Quijano, N. Multi-objective model-free control based on population dynamics and cooperative games. A: IEEE Annual Conference on Decision and Control. "2015 IEEE 54th Annual Conference on Decision and Control (CDC)". Osaka: Institute of Electrical and Electronics Engineers (IEEE), 2015, p. 5296-5301. |
dc.identifier.isbn | 978-1-4799-7884-7 |
dc.identifier.uri | http://hdl.handle.net/2117/83880 |
dc.description.abstract | This work solves a model-free resource allocation problem with two objectives. These objectives represent both cooperation and competition directions. It is proposed a solution that combines a centralized cooperative game approach using the Shapley value to determine a proper partitioning of the system, and a decentralized non-cooperative game approach using the Nash equilibrium to achieve the control objective by means of both partial and local information. Furthermore, invariant set and stability analysis are discussed for the noncooperative game approach. Another contribution regarding the cooperative game approach relies on a novel and alternative way to compute the Shapley value for the chosen characteristic function. This alternative computational way is proposed in order to mitigate the commonly high computational burden issue, which is associated to the combinatorial explosion associated to the cooperative game approach. |
dc.format.extent | 6 p. |
dc.language.iso | eng |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Automàtica i control |
dc.subject.lcsh | Cooperative games (Mathematics) |
dc.subject.other | control theory |
dc.subject.other | optimisation |
dc.subject.other | transport control. population dynamics |
dc.subject.other | Nash equilibrium |
dc.subject.other | cooperative games |
dc.subject.other | Shapley value |
dc.subject.other | resource allocation |
dc.subject.other | partitioning approach |
dc.title | Multi-objective model-free control based on population dynamics and cooperative games |
dc.type | Conference report |
dc.subject.lemac | Jocs cooperatius (Matemàtica) |
dc.contributor.group | Universitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control |
dc.identifier.doi | 10.1109/CDC.2015.7403048 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7403048 |
dc.rights.access | Open Access |
local.identifier.drac | 17556438 |
dc.description.version | Postprint (author's final draft) |
dc.relation.projectid | info:eu-repo/grantAgreement/EC/FP7/611281/EU/Dynamic Management of Physically Coupled Systems of Systems/DYMASOS |
local.citation.author | Barreiro, J.; Ocampo-Martinez, C.A.; Maestre, J.; Quijano, N. |
local.citation.contributor | IEEE Annual Conference on Decision and Control |
local.citation.pubplace | Osaka |
local.citation.publicationName | 2015 IEEE 54th Annual Conference on Decision and Control (CDC) |
local.citation.startingPage | 5296 |
local.citation.endingPage | 5301 |