Abstract
Substantial revisions on the newly proposed bias correction based method are made in the framework of indirect identification of a linear (possibly unstable) plant operating in closed loop with a low-order stabilizing controller. By making a new formulation of a least-squares estimate of an intermediate parameter vector purposely introduced, the modified algorithm is able to achieve a direct yet unbiased closed-loop system estimate in the presence of misspecified noise model. With no identification of a high-order augmented closed-loop system, the computational complexity of the algorithm is significantly reduced. Simulations of identifying an open-loop unstable plant illustrate the promising performance of the modified algorithm in low signal-to-noise ratio environments.
| Original language | English |
|---|---|
| Pages (from-to) | 556-562 |
| Number of pages | 7 |
| Journal | IEEE Transactions on Circuits and Systems I: Regular Papers |
| Volume | 49 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 2002 |
Keywords
- algorithm implementation
- closed-loop systems
- least squares
- parameter estimation
- Closed-loop systems
- Algorithm implementation
- Parameter estimation
- Least-squares method
- Identification