Modeling and fusion estimation of dynamic multiscale system based on M-band wavelet and state space projection

Peiling Cui, Guizeng Wang, Quan Pan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper investigates the modeling and fusion estimation of a class of dynamic multiscale system (DMS). The state equation at the finest scale is known, and the measurement equations at J scales are also known. There is one sensor distributed at each scale, and the sampling rate of which decreases by a factor of M. M-band wavelet transform is used to build the state space projection equation, and a new state space model that satisfies Kalman filtering condition is derived. Finally, Monte Carlo simulation results are given to obtain insight into the efficiencies offered by our model and algorithm.

Original languageEnglish
Title of host publicationIntelligent Control and Automation
Subtitle of host publicationInternational Conference on Intelligent Computing, ICIC 2006
PublisherSpringer Verlag
Pages933-938
Number of pages6
ISBN (Print)3540372555, 9783540372554
DOIs
StatePublished - 2006

Publication series

NameLecture Notes in Control and Information Sciences
Volume344
ISSN (Print)0170-8643

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