dc.creator | Manzano, José María | es |
dc.creator | Muñoz de la Peña Sequedo, David | es |
dc.creator | Limón Marruedo, Daniel | es |
dc.date.accessioned | 2022-09-28T14:52:37Z | |
dc.date.available | 2022-09-28T14:52:37Z | |
dc.date.issued | 2021-10 | |
dc.identifier.citation | Manzano, J.M., Muñoz de la Peña Sequedo, D. y Limón Marruedo, D. (2021). Oracle-based economic predictive control. Computers and Chemical Engineering, 153, Article number 107434. | |
dc.identifier.issn | 0098-1354 | es |
dc.identifier.uri | https://hdl.handle.net/11441/137438 | |
dc.description | Article number 107434 | es |
dc.description.abstract | This paper presents an economic model predictive controller, under the assumption that the only mea-
surable signal of the plant is the economic cost to be minimized. In order to forecast the evolution of
this economic cost for a given input trajectory, a prediction model with a NARX structure, the so-called
oracle, is proposed. Sufficient conditions to ensure the existence of such oracle are studied, proving that
it can be derived for a general nonlinear system if the economic cost function is a Morse function. Based
on this oracle, economic model predictive controllers are proposed, and their stability is demonstrated in
nominal conditions under a standard dissipativity assumption. The viability of these controllers in practi-
cal settings (where the oracle may provide imperfect predictions for generic inputs) is proven by means
of input-to-state stability. These properties have been illustrated in a case study based on a continuously
stirred tank reactor | es |
dc.description.sponsorship | Ministerio de Economía y Competitividad (MINECO). España DPI2016-76493-C3-1-R | es |
dc.description.sponsorship | Agencia Estatal de Investigación (AEI) PID2019-106212RB-C41/AEI/10.13039/501100011033 | es |
dc.format | application/pdf | es |
dc.format.extent | 13 p. | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier Ltd | es |
dc.relation.ispartof | Computers and Chemical Engineering, 153, Article number 107434. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Economic predictive control | es |
dc.subject | Nonlinear systems | es |
dc.subject | NARX models | es |
dc.subject | Identification Data-based MPC | es |
dc.title | Oracle-based economic predictive control | es |
dc.type | info:eu-repo/semantics/article | es |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática | es |
dc.relation.projectID | DPI2016-76493-C3-1-R | es |
dc.relation.projectID | PID2019-106212RB-C41/AEI/10.13039/501100011033 | es |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S009813542100212X | es |
dc.identifier.doi | 10.1016/j.compchemeng.2021.107434 | es |
dc.journaltitle | Computers and Chemical Engineering | es |
dc.publication.volumen | 153 | es |
dc.publication.initialPage | Article number 107434 | es |
dc.contributor.funder | Ministerio de Economía y Competitividad (MINECO). España | es |
dc.contributor.funder | European Commission (EC). Fondo Europeo de Desarrollo Regional (FEDER) | es |
dc.contributor.funder | Agencia Estatal de Investigación (AEI) | es |