Distributed Moving Horizon Estimation for Linear Constrained Systems

doi:10.1109/TAC.2010.2046058

2010-11-01

166

Marcello Farina *

Giancarlo Ferrari‐Trecate

Riccardo Scattolini

DOI：10.1109/TAC.2010.2046058

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摘要

En 中文

This paper presents a novel distributed estimation algorithm based on the concept of moving horizon estimation. Under weak observability conditions we prove convergence of the state estimates computed by any sensors to the correct state even when constraints on noise and state variables are taken into account in the estimation process. Simulation examples are provided in order to show the main features of the proposed method.

Keyword:

Consensus algorithms

distributed estimation

moving horizon estimation

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期刊

IEEE Transactions on Automatic Control

IF:

论文数:

1.3W

被引数:

6.7W

机构

Polytechnic University of Milan

学者数:

2.0W

论文数: 1.8W

被引数: 24

university of pavia

学者数:

2.1W

论文数: 1.6W

被引数: 8

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