Authors: [tex2html_wrap4418]D. Levanony, A. Bagchi (Dept. of Applied Mathematics, University of Twente, The Netherlands)
Investigator username: levanony
Category: systems and control theory
Continuous time, adaptive, ML based Kalman filtering is considered. First, the geometric structure of the MLE limit parameter sets is characterized. Then, based on the geometric study, a recursive adaptive filtering scheme is derived to obtain asymptotically optimal (minimum variance) state estimates.