Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334) 2000
DOI: 10.1109/acc.2000.879488
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Moving horizon estimation for hybrid systems

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Cited by 48 publications
(61 citation statements)
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“…It has been shown that the framework of piecewise linear systems can be used to analyse smooth non-linear systems with arbitrary accuracy (Johansson and Rantzer 1998;Rantzer and Johansson 2000). Recently, there have appeared some results on state estimation and filtering design for piecewise linear systems in the open literature (Ferrari-Trecate, Mignone, and Morari 2002;Juloski, Heemels, Boers, and Verschure 2002;Xu and Xie 2004;Feng 2005Feng , 2006. Ferrari-Trecate et al (2002) studied the movinghorizon estimation (MHE) for hybrid systems in piecewise affine form.…”
Section: Introductionmentioning
confidence: 98%
“…It has been shown that the framework of piecewise linear systems can be used to analyse smooth non-linear systems with arbitrary accuracy (Johansson and Rantzer 1998;Rantzer and Johansson 2000). Recently, there have appeared some results on state estimation and filtering design for piecewise linear systems in the open literature (Ferrari-Trecate, Mignone, and Morari 2002;Juloski, Heemels, Boers, and Verschure 2002;Xu and Xie 2004;Feng 2005Feng , 2006. Ferrari-Trecate et al (2002) studied the movinghorizon estimation (MHE) for hybrid systems in piecewise affine form.…”
Section: Introductionmentioning
confidence: 98%
“…We highlight that the observers considered in the present paper use all the inputs and outputs collected over a time window rather than processing only the most recent measurements. In this respect, they are different from the ones proposed in Alessandri and Coletta (2001) and Feng (2003) and similar to estimation schemes such as moving horizon estimation (Ferrari-Trecate et al 2002). The paper is structured as follows.…”
Section: Introductionmentioning
confidence: 96%
“…The authors in [11] studied the moving-horizon estimation (MHE) for hybrid systems in the piecewise affine form. A number of sufficient conditions to guarantee asymptotic convergence of the MHE were presented, and the main issues concerned with the practical implementation of MHE were also discussed.…”
Section: Introductionmentioning
confidence: 99%