Title :
BCLS method for the estimation of continuous-time models in closed loop enviornment
Author :
Ikeda, Kenji ; Mogami, Yoshio ; Shimomura, Takao
Author_Institution :
Inst. of Technol. & Sci., Univ. of Tokushima, Tokushima, Japan
Abstract :
This paper proposes a bias-compensated least squares (BCLS) method for a continuous-time model estimation in closed loop environment. The feedback controller is assumed to be linear time invariant discrete-time system and the feedback system is assumed to be asymptotically stable. It is also assumed that the control input is a zeroth order hold signal. The aim of the proposed method is to reduce the computational cost which will be required for the conventional method.
Keywords :
asymptotic stability; closed loop systems; compensation; continuous time systems; discrete time systems; feedback; least squares approximations; linear systems; BCLS method; asymptotic stability; bias-compensated least squares method; closed loop environment; continuous-time model estimation; feedback controller; feedback system; linear time invariant discrete-time system; zeroth order hold signal; Biological system modeling; Computational modeling; Estimation; Least squares approximation; Noise; Numerical models; Transfer functions; Bias compensation; Closed loop systems; Continuous time model; Least squares method; Parameter estimation;
Conference_Titel :
Control Applications (CCA), 2010 IEEE International Conference on
Conference_Location :
Yokohama
Print_ISBN :
978-1-4244-5362-7
Electronic_ISBN :
978-1-4244-5363-4
DOI :
10.1109/CCA.2010.5611132
