Name
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. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/CCA.2010.5611132 | Control Applications |
Keywords | Field | DocType |
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,Bias compensation,Closed loop systems,Continuous time model,Least squares method,Parameter estimation | Least squares,LTI system theory,Linear system,Control theory,Computer science,Zeroth law of thermodynamics,Control engineering,Exponential stability,Transfer function,Estimation theory,Stability theory | Conference |
ISSN | ISBN | Citations |
1085-1992 | 978-1-4244-5363-4 | 0 |
PageRank | References | Authors |
0.34 | 1 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kenji Ikeda | 1 | 3 | 2.05 |
| Yoshio Mogami | 2 | 30 | 8.63 |
| Takao Shimomura | 3 | 33 | 7.95 |