A Simple Approach to Distributed Observer Design for Linear Systems

被引:174
作者
Han, Weixin [1 ]
Trentelman, Harry L. [2 ]
Wang, Zhenhua [1 ]
Shen, Yi [1 ]
机构
[1] Harbin Inst Technol, Dept Control Sci & Engn, Harbin 150001, Heilongjiang, Peoples R China
[2] Univ Groningen, Johann Bernoulli Inst Math & Comp Sci, NL-9700 AK Groningen, Netherlands
基金
中国国家自然科学基金;
关键词
Distributed estimation; linear matrix inequalities (LMIs); linear system observers; sensor networks;
D O I
10.1109/TAC.2018.2828103
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This note investigates the distributed estimation problem for continuous-time linear time-invariant (LTI) systems observed by a network of observers. Our starting point is a given LTI system whose full state vector we want to estimate, based on the measured output of the system. We will call this the observed system. Each observer in the network has access to only part of the output of the observed system, and communicates with its neighbors according to a given network graph. In this note, we recover the known result that if the observed system is observable and the network graph is a strongly connected digraph, then a distributed observer exists. Moreover, the estimation error can be made to converge to zero at any a priori given decay rate. Our approach leads to a relatively straightforward proof of this result, using the mirror of the balanced graph associated with the original network graph. The numerical design of our distributed observer is reduced to solving linear matrix inequalities. Each observer in the network has state dimension equal to that of the observed plant.
引用
收藏
页码:329 / 336
页数:8
相关论文
共 25 条
[1]   ALGEBRAIC CHARACTERIZATION OF FIXED MODES IN DECENTRALIZED CONTROL [J].
ANDERSON, BDO ;
CLEMENTS, DJ .
AUTOMATICA, 1981, 17 (05) :703-712
[2]  
[Anonymous], IEEE T AUTOM CONTROL
[3]  
[Anonymous], IEEE T AUTOM CONTROL
[4]  
Boyd S., 1994, LINEAR MATRIX INEQUA
[5]   Distributed and Decentralised Estimation of Non-linear Systems [J].
Hilgers, Peter ;
Ament, Christoph .
2010 IEEE INTERNATIONAL CONFERENCE ON CONTROL APPLICATIONS, 2010, :328-333
[6]   Collaborative scalar-gain estimators for potentially unstable social dynamics with limited communication [J].
Khan, Usman A. ;
Jadbabaie, Ali .
AUTOMATICA, 2014, 50 (07) :1909-1914
[7]  
Khan UA, 2011, P AMER CONTR CONF, P3405
[8]   On connectivity, observability, and stability in distributed estimation [J].
Khan, Usman A. ;
Kar, Soummya ;
Jadbabaie, Ali ;
Moura, Jose M. F. .
49TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2010, :6639-6644
[9]  
Kim T, 2016, IEEE DECIS CONTR P, P6928, DOI 10.1109/CDC.2016.7799336
[10]  
Kupper M, 2016, P AMER CONTR CONF, P2765, DOI 10.1109/ACC.2016.7525337