System Identification Under General Norms for Linear Parameter Varying State-Space Systems via Sparse Matrix Methods
Author:
Affiliation:
1. Ontario Tech University,Faculty of Engineering and Applied Science,Oshawa,Canada
2. University of Leoben,Chair of Automation,Leoben,Austria,8700
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9708598/9708599/09708777.pdf?arnumber=9708777
Reference19 articles.
1. Numerical Methods for Least Squares Problems
2. Matrix Computations
3. The ubiquitous Kronecker product
4. Discrete-time variable projection method for fractional order system identification;harker;Fractional Differentiation and Its Applications (ICFDA) 2016 International Conference on Conference Proceedings,0
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