DocumentCode
2576504
Title
A Fast System Identification Method Based on Minimum Phase Space Volume
Author
Xu, Xinzhi ; Guo, Jingbo
Author_Institution
Dept. of Electr. Eng., Tsinghua Univ., Beijing, China
fYear
2012
fDate
10-12 Oct. 2012
Firstpage
523
Lastpage
526
Abstract
In this paper, the minimum phase space volume (MPSV) method is modified to identify an autoregressive (AR) system driven by a chaotic signal blindly. After modification, the estimation speed is much faster than before, which makes the MPSV method more suitable for engineering applications. The simulation results show that, when comparing with the original MPSV method, the proposed method can obtain the same estimation result at a much higher speed.
Keywords
autoregressive processes; parameter estimation; signal processing; MPSV method; autoregressive system; chaotic signal; engineering application; estimation speed; fast system identification method; minimum phase space volume method; Algorithm design and analysis; Chaotic communication; Complexity theory; Estimation; Real-time systems; Simulation; chaos; minimum phase space volume; speed; system identification;
fLanguage
English
Publisher
ieee
Conference_Titel
Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), 2012 International Conference on
Conference_Location
Sanya
Print_ISBN
978-1-4673-2624-7
Type
conf
DOI
10.1109/CyberC.2012.96
Filename
6385023
Link To Document