An Improved Subspace Identification Method with Variance Minimization and Input Design
Author:
Affiliation:
1. Shanghai Jiao Tong University,The Dept. of Automation
2. The State Key Laboratory of Industrial Control Technology
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9866948/9867142/09867157.pdf?arnumber=9867157
Reference17 articles.
1. Subspace identification of individual systems in a large-scale heterogeneous network
2. N2SID: Nuclear norm subspace identification of innovation models
3. An overview of subspace identification
4. Non-asymptotic Identification of LTI Systems from a Single Trajectory
5. Editorial: Effective construction of linear state-variable models from input/output functions
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