CONTROL SYSTEMS ANALYSIS VIA BLIND SOURCE DECONVOLUTION
Kenji Sugimoto, Yoshito Kikkawa · 2003
This paper studies application of independent component analysis techniques to automatic control engineering. It is often desired in control systems to separate signals which are mixed through some unknown process. Since this process usually has dynamics, blind source deconvolution must be achieved in this case. Under a certain assumption, the paper provides a method to this end, by making use of a time series expansion motivated from control system identification. This method is then applied to simultaneous estimation of both disturbance and system parameter. The result is illustrated by means of a numerical simulation and experiment with a mechanical system. 1.