Recursive Least Squares and Multi-innovation Gradient Estimation Algorithms for Bilinear Stochastic Systems
Crossref DOI link: https://doi.org/10.1007/s00034-016-0337-0
Published Online: 2016-05-25
Published Print: 2017-03
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Meng, Dandan
Funding for this research was provided by:
National Natural Science Foundation of China (CN) (No. 61273194)
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