Unscented Tobit Kalman filtering for switched nonlinear systems with censored measurement

DOI10.1016/j.amc.2022.127327OpenAlexW4283464808MaRDI QIDQ2152726

Wangyan Li, Jia-Jia Li, Guoliang Wei

Publication date: 11 July 2022

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2022.127327

zbMATH Keywords

switched nonlinear systemsunknown modescensored measurementsunscented Tobit Kalman filtering

Mathematics Subject Classification ID

Survival analysis and censored data (62Nxx) Model systems in control theory (93Cxx) Stochastic systems and control (93Exx)

Related Items (1)

A new smooth variable structure Tobit filter for systems with censored measurements and model parameters uncertainty

Cites Work

• Estimation of Relationships for Limited Dependent Variables
• Expected total test time and Bayesian estimation for generalized Lindley distribution under progressively type-II censored sample where removals follow the beta-binomial probability law
• An EKF-based nonlinear observer with a prescribed degree of stability
• Nonlinear Kalman filtering for censored observations
• Quadratic estimation for discrete time-varying non-Gaussian systems with multiplicative noises and quantization effects
• A basic smart linear Kalman filter with online performance evaluation based on observable degree
• The Estimation of a Simultaneous-Equation Tobit Model
• Distributed Federated Tobit Kalman Filter Fusion Over a Packet-Delaying Network: A Probabilistic Perspective
• Design and Stability of Moving Horizon Estimator for Markov Jump Linear Systems
• Recursive Noise Adaptive Kalman Filtering by Variational Bayesian Approximations
• An Improved Homogeneous Polynomial Approach for Adaptive Sliding-Mode Control of Markov Jump Systems With Actuator Faults
• Protocol-Based Unscented Kalman Filtering in the Presence of Stochastic Uncertainties
• Nonlinear Filtering Method Using a Switching Error Model for Outlier-Contaminated Observations
• Sliding Mode Control for Nonlinear Stochastic Singular Semi-Markov Jump Systems
• Receding-horizon estimation for switching discrete-time linear systems
• The Tobit model with a non‐zero threshold
• Extended Kalman filter synthesis for integrated global positioning/inertial navigation systems

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