Moving horizon estimation for discrete-time linear systems with binary sensors: Algorithms and stability results

被引：31

作者：

Battistelli, Giorgio ^{[1
]}

Chisci, Luigi ^{[2
,3
]}

Gherardini, Stefano ^{[1
,2
,3
,4
]}

机构：

[1] Univ Firenze, Dipartimento Ingn Informaz DINFO, Via Santa Marta 3, I-50139 Florence, Italy

[2] Univ Firenze, CSDC, Ist Nazl Fis Nucl, Via G Sansone 1, I-50019 Sesto Fiorentino, Italy

[3] LENS, Via G Sansone 1, I-50019 Sesto Fiorentino, Italy

[4] QSTAR, Largo E Fermi 2, I-50125 Florence, Italy

来源：

AUTOMATICA | 2017年 / 85卷

关键词：

State estimation; Moving-horizon estimation; Binary measurements; Stability analysis; STATE ESTIMATION; IDENTIFICATION; PROGRAMS; NETWORKS;

D O I：

10.1016/j.automatica.2017.07.035

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The paper addresses state estimation for linear discrete-time systems with binary (threshold) measurements. A Moving Horizon Estimation (MHE) approach is followed and different estimators, characterized by two different choices of the cost function to be minimized and/or by the possible inclusion of constraints, are proposed. Specifically, the cost function is either quadratic, when only the information pertaining to the threshold-crossing instants is exploited, or piece-wise quadratic, when all the available binary measurements are taken into account. Stability results are provided for the proposed MHE algorithms in the presence of unknown but bounded disturbances and measurement noise. Performance of the proposed techniques is also assessed by means of simulation examples. (C) 2017 Elsevier Ltd. All rights reserved.

引用

页码：374 / 385

页数：12

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