State filtering and parameter estimation for state space systems with scarce measurements

This paper considers the state filtering and parameter estimation problems for state space systems with scarce output availability. When the scarce states are available, a least squares based algorithm and an observer based parameter estimation algorithm are developed to estimate the system paramete...

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Veröffentlicht in:	Signal processing Jg. 104; S. 369 - 380
1. Verfasser:	Ding, Feng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier B.V 01.11.2014 Elsevier
Schlagworte:	Algorithms Applied sciences Availability Detection, estimation, filtering, equalization, prediction Estimates Exact sciences and technology Filtering Filtration Information, signal and communications theory Least squares method Missing data Observers Parameter estimation Recursive identification Signal and communications theory Signal processing Signal, noise State filtering Telecommunications and information theory Signal processing Missing data Recursive identification Parameter estimation State filtering Availability Performance evaluation Filtering State space State space method Algorithm Least squares method Observer Recursive method
ISSN:	0165-1684, 1872-7557
Online-Zugang:	Volltext
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