Innovation approach to reduced-order estimation of complementary states.
From MaRDI portal
Publication:5904020
DOI10.1080/00207728908910204zbMath0678.93069OpenAlexW1794265301MaRDI QIDQ5904020
Ronald E. Helmick, Craig S. Sims, Krishna M. Nagpal
Publication date: 1989
Published in: International Journal of Systems Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207728908910204
stabilityestimationRiccati equationswhite noiseoptimal linear filtercomplementary statesreduced-order filter algorithmreduced-order innovation process
Filtering in stochastic control theory (93E11) Estimation and detection in stochastic control theory (93E10) Linear systems in control theory (93C05)
Related Items
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Reduced-order estimation Part 1. Filtering
- Reduced-order estimation Part 2. Smoothing
- The optimal projection equations for reduced-order state estimation
- On reducing the order of Kalman filters for discrete-time stochastic systems having singular measurement noise
- Order reduction in linear state estimation under performance constraints
- Reduced-order optimal state estimator for linear systems with partially noise corrupted measurement
- On Linear Least-Squares Estimators for Discrete-Time Stochastic Systems
- Observer-estimators for discrete-time systems