Paper Info
Title
Optimal input design for identifying parameters and orders of MIMO systems with initial values
Abstract
Along with the development of modern industrial systems, the identification issues for multi-input multi-output (MIMO) systems have attracted much attention. Initial values of systems have an influence both on the input and output which directly reduces the accuracy of estimated model parameters. To solve the identification problem for MIMO systems with initial values, this paper proposes a simple and efficient identification method containing the optimal input design. The multi-dimensional inverse M-sequences are used as the input signals, which both basically meet the requirements of optimal input design and have a reference value in the practical applications. Based on the optimal input design, we can eliminate the influence of initial values generated by the system and develop an identification algorithm for multi-input, multi-output stochastic systems by means of finite impulse response (FIR) models. Finally, the identification procedure is to discuss the Pade approximation method to produce the parameter estimates, and further to use the loss functions to determine the orders of MIMO systems. The simulation results show that the proposed method is quite efficient.
Year
DOI
Venue
2013
10.1016/j.amc.2013.08.091
Applied Mathematics and Computation
Keywords
Field
DocType
mimo system,identification algorithm,pade approximation method,input signal,initial value,efficient identification method,optimal input design,identification issue,identification procedure,identification problem,loss function
Inverse,Mimo systems,Mathematical optimization,Padé approximant,Control theory,MIMO,Input/output,Input design,Finite impulse response,Parameter identification problem,Mathematics
Journal
Volume
ISSN
Citations 
224,
0096-3003
0
PageRank 
References 
Authors
0.34
17
4
Name
Order
Citations
PageRank
Qibing Jin11911.28
Zhu Wang230.73
Qi Wang329562.64
Ruigeng Yang400.34