Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloProbabilistic Design of LPV Control System
Anno di pubblicazione2003
Formato-
Autore/iFujisaki Y., Dabbene F., Tempo R.
Affiliazioni autoriY. Fujisaki - Department of Computer and Systems Engineering, Kobe University, Nada, Kobe 657-8501, Japan F. Dabbene - R. Tempo - IEIIT-CNR, Politecnico di Torino, Corso Duca degli Abruzzi 24, Torino 10129, Italy
Autori CNR e affiliazioni
  • FABRIZIO DABBENE
  • ROBERTO TEMPO
Lingua/e-
AbstractThis paper presents an alternative approach to design of linear parameter-varying (LPV) control systems. In contrast to previous methods, which are focused on deterministic algorithms, this paper is based on a probabilistic setting. The proposed randomized algorithm provides a sequence of candidate solutions converging with probability one to a feasible solution in a finite number of steps. The main features of this approach are as follows: (i) The randomized algorithm gives a method for general LPV plants with state space matrices depending on scheduling parameters in a nonlinear manner. That is, the probabilistic setting does not need a gridding of the set of scheduling parameters or approximations such as a linear fractional transformation of the state space matrices. (ii) The proposed algorithm is sequential and, at each iteration, it does not require heavy computational effort such as solving simultaneously a large number of linear matrix inequalities.
Lingua abstract-
Altro abstract-
Lingua altro abstract-
Pagine da1323
Pagine a1337
Pagine totali-
RivistaAutomatica (Oxf.)
Attiva dal 1963
Editore: Pergamon, - Oxford [etc.]
Paese di pubblicazione: Regno Unito
Lingua: multilingue
ISSN: 0005-1098
Titolo chiave: Automatica (Oxf.)
Titolo proprio: Automatica (Oxf.)
Titolo abbreviato: Automatica (Oxf.)
Numero volume della rivista39
Fascicolo della rivista-
DOI-
Verificato da referee-
Stato della pubblicazione-
Indicizzazione (in banche dati controllate)-
Parole chiaverandomized algorithm, LPV, gain scheduling, output feedback
Link (URL, URI)-
Titolo parallelo-
Data di accettazione-
Note/Altre informazioni-
Strutture CNR
  • IEIIT — Istituto di elettronica e di ingegneria dell'informazione e delle telecomunicazioni
Moduli CNR-
Progetti Europei-
Allegati

    Dati storici
    I dati storici non sono modificabili, sono stati ereditati da altri sistemi (es. Gestione Istituti, PUMA, ...) e hanno solo valore storico.
    Area disciplinareAI, Robotics & Automatic Control
    Area valutazione CIVRIngegneria industriale e informatica
    Rivista ISIAUTOMATICA [17974J0]
    Descrizione sintetica del prodottoThis paper presents an alternative approach to design of linear parameter-varying (LPV) control systems. In contrast to previous methods, which are focused on deterministic algorithms, this paper is based on a probabilistic setting. The proposed randomized algorithm provides a sequence of candidate solutions converging with probability one to a feasible solution in a finite number of steps. The main features of this approach are as follows: (i) The randomized algorithm gives a method for general LPV plants with state space matrices depending on scheduling parameters in a nonlinear manner. That is, the probabilistic setting does not need a gridding of the set of scheduling parameters or approximations such as a linear fractional transformation of the state space matrices. (ii) The proposed algorithm is sequential and, at each iteration, it does not require heavy computational effort such as solving simultaneously a large number of linear matrix inequalities.