Title :
Parameter identifiability of quantized linear systems
Author :
Shen, Ying ; Zhang, Hui
Author_Institution :
Dept. of Control Sci. & Eng., Zhejiang Univ., Hangzhou, China
Abstract :
The parameter identifiability of quantized linear systems with Gauss-Markov parameters is discussed from information theoretic point of view. The presented definition of parameter identifiability is reviewed and extended to quantized systems by considering the intrinsic property of the system. Then the parameter identifiability of linear systems with quantized outputs is analyzed and the criterion of parameter identifiability is proposed based on the measure of mutual information. Furthermore, the convergence property of the quantized parameter identifiability Gramian is analyzed.
Keywords :
Gaussian processes; Markov processes; convergence; information theory; linear systems; parameter estimation; Gauss-Markov parameters; convergence property; information theory; parameter identifiability; quantized linear systems; Convergence; Educational institutions; Hafnium; Linear systems; Mutual information; Process control; Gauss-Markov process; identifiability; mutual information; quantized linear systems;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-1397-1
DOI :
10.1109/WCICA.2012.6358412
