Title :
NARMAX model based on wavelet network with application in ship control
Author :
Zhang, Wenjun ; Liu, Zhengjiang ; Li, Wei
Author_Institution :
Dalian Maritime Univ., Dalian, China
Abstract :
A wavelet neural network (WNN) is introduced to realize the system identification with nonlinear auto-regressive moving average with exogenous inputs (NARMAX) model. The method takes both advantages of the wavelet network and NARMAX model, and the multi-objective optimization method is used to real-time estimate the network coefficient. The wavelet-network-based NARMAX identification model is used as online system identifier, and the experimental result of ship course control proves the efficiency of the proposed neural identification model.
Keywords :
autoregressive moving average processes; neural nets; optimisation; ships; wavelet transforms; NARMAX model; WNN; multi-objective optimization method; nonlinear auto-regressive moving average with exogenous inputs model; online system identifier; ship course control; wavelet neural network; Least squares approximation; Marine vehicles; Mathematical model; Neural networks; Predictive control; Predictive models; NARMAX; system identification; wavelet network;
Conference_Titel :
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4577-2073-4
DOI :
10.1109/CCDC.2012.6243061
