| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4975325 | Journal of the Franklin Institute | 2014 | 12 Pages |
Abstract
This paper develops a decomposition based least squares iterative identification algorithm for two-input single-output (TISO) systems. The basic idea is to decompose a TISO system into two subsystems and then to identify each subsystem, respectively. Compared with the least squares based iterative algorithm, the proposed algorithm has less computational load. The simulation results indicate that the proposed algorithm is effective.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Xianling Lu, Wenlin Shi, Wei Zhou,