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.
2004
49
1350
1355
A. Alessandri; M. Baglietto; G. Battistelli
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/250811
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