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
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;
Conference_Titel :
Control Conference (CCC), 2015 34th Chinese
Conference_Location :
Hangzhou, China
DOI :
10.1109/ChiCC.2015.7259918
