Synthesis of reduced Kalman filter with the guaranteed estimation quality of dynamic system state
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Publication:2017552
DOI10.1134/S1064230710020048zbMath1308.93210OpenAlexW1989459388MaRDI QIDQ2017552
Publication date: 23 March 2015
Published in: Journal of Computer and Systems Sciences International (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1134/s1064230710020048
Filtering in stochastic control theory (93E11) Estimation and detection in stochastic control theory (93E10) Synthesis problems (93B50)
Cites Work
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- Evaluation of the current state of an aircraft and its systems on the basis of the probabilistic-guaranteeing approach
- Optimal estimation theory for dynamic systems with set membership uncertainty: An overview
- Reduced-order Kalman filter with unknown inputs
- Ellipsoidal approximation of the attainability sets of a linear system with an uncertain matrix.
- A system of recurrent Bayesian estimation algorithms that are adaptive to different kinds of uncontrollable factors. II: Algorithms for determining the statistical characteristics of the error of models of the process being estimated
- Minimax linear estimation in generalized uncertain-stochastic system. II: Minimax filtering in dynamic systems described by stochastic differential equations with measure
- Filtration of a random process in a statistically uncertain linear stochastic differential system
- REDUCED ORDER KALMAN FILTERING WITHOUT MODEL REDUCTION
- Reduced-order estimation Part 1. Filtering
- The optimal projection equations for reduced-order state estimation
- On minimax robustness: A general approach and applications
- Robust techniques for signal processing: A survey
- On the problem of minimax-Bayesian estimation
- REDUCED-ORDER KALMAN FILTER FOR ALIGNMENT
- Robust Statistics