Quadratic boundedness is used to deal with stability and design of receding-horizon estimators. Upper bounds on the norm of the estimation error have been found by means of invariant sets that can be constructed by using quadratic boundedness. Moreover, these bounds are expressed in terms of linear matrix inequalities and are well-suited to being minimized for the purpose of design.
On estimation error bounds for receding-horizon filters using quadratic boundedness / A. Alessandri; M. Baglietto; G. Battistelli. - In: IEEE TRANSACTIONS ON AUTOMATIC CONTROL. - ISSN 0018-9286. - STAMPA. - 49:(2004), pp. 1350-1355. [10.1109/TAC.2004.832652]
On estimation error bounds for receding-horizon filters using quadratic boundedness
BATTISTELLI, GIORGIO
2004
Abstract
Quadratic boundedness is used to deal with stability and design of receding-horizon estimators. Upper bounds on the norm of the estimation error have been found by means of invariant sets that can be constructed by using quadratic boundedness. Moreover, these bounds are expressed in terms of linear matrix inequalities and are well-suited to being minimized for the purpose of design.File | Dimensione | Formato | |
---|---|---|---|
2004_TAC_QB.pdf
Accesso chiuso
Tipologia:
Versione finale referata (Postprint, Accepted manuscript)
Licenza:
Tutti i diritti riservati
Dimensione
246.49 kB
Formato
Adobe PDF
|
246.49 kB | Adobe PDF | Richiedi una copia |
I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.