Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloLPV Approximation of Distributed Parameter Systems in Environmental Modelling
Anno di pubblicazione2005
Formato
  • Elettronico
  • Cartaceo
Autore/iF. Dabbene, G. Belforte, P. Gay
Affiliazioni autoriF. Dabbene : CNR-IEIIT G. Belforte : Politecnico di Torino P. Gay : Univ Turin, Dipartimento Econ & Ingn Agraria Forestale & Ambi, I-10129 Turin, Italy
Autori CNR e affiliazioni
  • PAOLO GAY
  • FABRIZIO DABBENE
Lingua/e
  • inglese
AbstractEnvironmental systems often involve phenomena that are continuous functions not only of time, but also of other independent variables, such as space coordinates. Typical examples are transportation phenomena of mass or energy, such as heat transmission and/or exchange, humidity diffusion or concentration distributions. These systems are intrinsically distributed parameter systems whose description usually requires the introduction of partial differential equations (PDE). Therefore, their modelling can be quite complex, both for what concerns the model construction and its identification. Indeed, a typical approach for the simulation of such systems is the use of finite elements techniques. However, this kind of description usually involves a huge number of parameters and requires time-consuming computations while not being suited for identification. For this reason, such models are generally not suitable for control purposes. In many cases, however, the involved phenomena depend on the independent (space) variables in a smooth way, and for fixed values of the independent variables, input-output relations can be satisfactorily represented by linear time-invariant models. In such conditions, a possible alternative to PDE consists in representing the physical system with a Linear Parameter Varying (LPV) model whose parameters are functions of the independent variables. The advantage of this approach is the relatively simple model obtained, which is directly suitable for control purposes and can be easily identified from input-output data by means of classical techniques. Moreover, optimal identification schemes can be derived for such models, allowing the optimization of the number of measurements. This can be particularly useful in several environmental applications for which the cost of measurements represents a severe constraint. In this paper, the derivation of LPV models for the representation of distributed phenomena in environmental systems is discussed, and the issue of model uncertainty is addressed.
Lingua abstractinglese
Altro abstract-
Lingua altro abstract-
Pagine da1063
Pagine a1070
Pagine totali-
RivistaEnvironmental modelling & software
Attiva dal 1997
Editore: Elsevier, - Oxford
Paese di pubblicazione: Regno Unito
Lingua: inglese
ISSN: 1364-8152
Titolo chiave: Environmental modelling & software
Titolo proprio: Environmental modelling & software
Titolo abbreviato: Environ. model. softw.
Titolo alternativo: Environmental modelling and software
Numero volume della rivista20
Fascicolo della rivista8
DOI10.1016/j.envsoft.2004.09.015
Verificato da refereeSì: Internazionale
Stato della pubblicazione-
Indicizzazione (in banche dati controllate)
  • ISI Web of Science (WOS) (Codice:000227978000009)
Parole chiaveagricultural and environmental processes; distributed parameter systems; LPV models
Link (URL, URI)http://www.sciencedirect.com/science/article/pii/S1364815204002439
Titolo parallelo-
Data di accettazione-
Note/Altre informazioniTimes Cited: 5 (from Web of Science)
Strutture CNR
  • IEIIT — Istituto di elettronica e di ingegneria dell'informazione e delle telecomunicazioni
Moduli CNR
    Progetti Europei-
    Allegati
    • Published paper

    Dati storici
    I dati storici non sono modificabili, sono stati ereditati da altri sistemi (es. Gestione Istituti, PUMA, ...) e hanno solo valore storico.
    Rivista ISIENVIRONMENTAL MODELLING & SOFTWARE [12123J0]