Convergence of continuous-time partitioned adaptive state estimators
DOI10.1080/00207178108922964zbMath0476.93060OpenAlexW4236612856MaRDI QIDQ3932690
Publication date: 1981
Published in: International Journal of Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207178108922964
asymptotic behaviour of Bayes optimal adaptive state estimation schemescontinuous-time linear dynamic Gauss-Markov systems with unknown parametersmaximum a posteriori probability estimatesweak consistency of the maximum likelihood
Adaptive control/observation systems (93C40) Estimation and detection in stochastic control theory (93E10) Linear systems in control theory (93C05) Model systems in control theory (93C99)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Continuous time systems identification with unknown noise covariance
- Model approximations via prediction error identification
- Stochastic differential systems. I: Filtering and control. A function space approach
- An information theoretic approach to dynamical systems modeling and identification
- Optimal Estimation in the Presence of Unknown Parameters
- Note on the Consistency of the Maximum Likelihood Estimate
- On Wald's Proof of the Consistency of the Maximum Likelihood Estimate
This page was built for publication: Convergence of continuous-time partitioned adaptive state estimators