Nonlinear predictive control of container flows in maritime intermodal terminals (Articolo in rivista)

Type

• Prodotto della ricerca (Classe)
• Articolo in rivista (Classe)

Label

• Nonlinear predictive control of container flows in maritime intermodal terminals (Articolo in rivista) (literal)

Anno

• 2013-01-01T00:00:00+01:00 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

• 10.1109/TCST.2012.2200680 (literal)

Alternative label

• A. Alessandri; C. Cervellera; M. Gaggero (2013)
  Nonlinear predictive control of container flows in maritime intermodal terminals
  in IEEE transactions on control systems technology (Print); IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141 (Stati Uniti d'America)
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• A. Alessandri; C. Cervellera; M. Gaggero (literal)

Pagina inizio

• 1423 (literal)

Pagina fine

• 1431 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni

• Journal Q1 in Control and Systems Engineering (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume

• 21 (literal)

Rivista

• IEEE transactions on control systems technology (Rivista)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo

• 4 (literal)

Note

• ISI Web of Science (WOS) (literal)
• Scopu (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• 1. Department of Mechanical Engineering, University of Genoa, Genoa I-16129, Italy 2. Institute of Intelligent Systems for Automation, National Research Council of Italy, Genoa I-16149 3. Institute of Intelligent Systems for Automation, National Research Council of Italy, Genoa I-16149 (literal)

Titolo

• Nonlinear predictive control of container flows in maritime intermodal terminals (literal)

Abstract

• Predictive control is investigated as a paradigm for the allocation of handling resources to transfer containers inside intermodal terminals. The decisions on the allocation of such resources are derived from the minimization of performance cost functions that measure the lay times of carriers over a forward horizon basing on a model of the container flows. Such a model allows one to take advantage of the information available in real time on the arrival or departure of carriers with the corresponding amounts of containers scheduled for loading or unloading. The resulting strategy of resource allocation can be regarded as a feedback control law and is obtained by solving nonlinear programming problems online. Since the computation may be too expensive, a technique based on the idea of approximating offline such a law is proposed. The approximation is performed by using neural networks, which allow one to construct an approximate feedback controller and generate the corresponding online control actions with a negligible computational burden. The effectiveness of the approach is shown via simulations in a case study. (literal)

Editore

• IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE (Editore)

Prodotto di

• Institute of intelligent systems for automation (ISSIA) (Istituto)
• Monitoraggio, Controllo e ottimizzazione di impianti e sistemi complessi (SP.P06.010.001) (Modulo)

Autore CNR

• MAURO GAGGERO (Persona)
• CRISTIANO CERVELLERA (Persona)

Incoming links:

Prodotto

• Institute of intelligent systems for automation (ISSIA) (Istituto)
• Monitoraggio, Controllo e ottimizzazione di impianti e sistemi complessi (SP.P06.010.001) (Modulo)

Autore CNR di

• CRISTIANO CERVELLERA (Persona)
• MAURO GAGGERO (Persona)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi

• IEEE transactions on control systems technology (Rivista)

Editore di

• IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE (Editore)