An Improved Dual Unscented Kalman Filter for State and Parameter Estimation
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Publication:2821278
DOI10.1002/asjc.1229zbMath1346.93385OpenAlexW2116275656MaRDI QIDQ2821278
Ye Liu, Zhen Dong, Zhu, Jubo, AnXi Yu
Publication date: 19 September 2016
Published in: Asian Journal of Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/asjc.1229
correlationunscented Kalman filterdual estimationimproved dual unscented Kalman filterstate and parameter
Filtering in stochastic control theory (93E11) Nonlinear systems in control theory (93C10) Discrete-time control/observation systems (93C55) Estimation and detection in stochastic control theory (93E10)
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Cites Work
- Adaptive divided difference filtering for simultaneous state and parameter estimation
- Unscented Kalman filtering in the additive noise case
- Impact-induced composite delamination: state and parameter identification via joint and dual extended Kalman filters
- Computationally Efficient Simplex Unscented Kalman Filter Based on Numerical Integration
- Sensor-Based Long Baseline Navigation: Observability Analysis and Filter Design
- Observability conditions for multiple signal direction finding and array sensor localization
- Separable nonlinear least squares: the variable projection method and its applications
- Nonlinear Bayesian Filtering Using the Unscented Linear Fractional Transformation Model
- Oscillation and Chaos in Physiological Control Systems
- Gaussian particle filtering
- Large Sample Properties of Separable Nonlinear Least Squares Estimators
- Observability Analysis of Continuous‐Time <scp>LTI</scp> Systems with Limited Derivative Data
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