State reconstructors.

被引：53

作者：

Fliess, M ^{[1
]}

Sira-Ramírez, H

机构：

[1] Ecole Polytech, Lab STIX, F-91128 Palaiseau, France

[2] IPN, Secc Mecatron, Dept Ingn Elect, CINVESTAV, Mexico City, DF, Mexico

来源：

COMPTES RENDUS MATHEMATIQUE | 2004年 / 338卷 / 01期

关键词：

D O I：

10.1016/j.crma.2003.11.004

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

In contrast to Kalman filters and asymptotic observers, the state reconstructors do not need the integration of differential equations. They eliminate structured perturbations and are robust with respect to noises without any precise knowledge of their statistical properties. The techniques used are, primarily, of algebraic nature. (C) 2003 Academie des sciences. Publie par Elsevier SAS. Tons droits reserves.

引用

页码：91 / 96

页数：6

共 11 条

[1]

[Anonymous], NONCOMMUTATIVE NOETH

[2]

Arnold V., 1976, METHODES MATH MECANI

[3] An algebraic framework for linear identification [J].

Fliess, M ;

Sira-Ramírez, H .

ESAIM-CONTROL OPTIMISATION AND CALCULUS OF VARIATIONS, 2003, 9 (09) :151-168

[4] Generalized proportional-integral controllers [J].

Fliess, M ;

Marquez, R ;

Delaleau, E ;

Sira-Ramìrez, H .

ESAIM-CONTROL OPTIMISATION AND CALCULUS OF VARIATIONS, 2002, 7 (02) :23-41

[5] Continuous-time linear predictive control and flatness: a module-theoretic setting with examples [J].

Fliess, M ;

Marquez, R .

INTERNATIONAL JOURNAL OF CONTROL, 2000, 73 (07) :606-623

[6]

FLIESS M, 2003, P 1 WORKSH ALG METH

[7]

Kalman R.E., 1961, J. Basic Eng., V83, P95, DOI [DOI 10.1115/1.3658902, 10.1115/1.3658902]

[8] INTRODUCTION TO OBSERVERS [J].

LUENBERGER, DG .

IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1971, AC16 (06) :596-+

[9]

MIKKUNISKI J, 1983, OPERATIONAL CALCULUS, V1

[10]

MIKUSINSKI J, 1987, OPERATIONAL CALCULUS, V2

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