DocumentCode
2245856
Title
Combining deterministic generalized orthonormal basis filters with stochastic ARMA filters: A state space approach
Author
Seban, Lalu ; Roy, B.K.
Author_Institution
Control & Industrial Automation Research Group, National Institute of Technology Silchar, Assam, India
fYear
2015
fDate
28-30 July 2015
Firstpage
1867
Lastpage
1872
Abstract
This paper discusses a novel method and check the effectiveness in combining deterministic generalized orthonormal basis filters (GOBF) with stochastic autoregressive moving average (ARMA) filters and its state space representation. The effectiveness of GOBF models can be improved by coupling an ARMA model in the presence of unmeasured disturbances. In this work particle swarm optimization (PSO) algorithm is used to determine the poles of GOBF filter.
Keywords
Autoregressive processes; Computational modeling; Finite impulse response filters; Mathematical model; Maximum likelihood detection; Nonlinear filters; Predictive models; Autoregressive moving average filters; Generalised orthonormal basis filters; Particle swarm optimization; State space model;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2015 34th Chinese
Conference_Location
Hangzhou, China
Type
conf
DOI
10.1109/ChiCC.2015.7259918
Filename
7259918
Link To Document