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
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;
Conference_Titel :
Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), 2012 International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4673-2624-7
DOI :
10.1109/CyberC.2012.96
