Tobit Kalman filter with channel fading and dead-zone-like censoring
From MaRDI portal
Publication:5028688
DOI10.1080/00207721.2020.1859160zbMath1483.93652OpenAlexW3182652643MaRDI QIDQ5028688
Shuhui Li, Xiaoxue Feng, Feng Pan, Zhi-Hong Deng
Publication date: 10 February 2022
Published in: International Journal of Systems Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207721.2020.1859160
Related Items
Joint estimation of state, parameter, and unknown input for nonlinear systems: A composite estimation scheme ⋮ Multi-sensor filtering fusion meets censored measurements under a constrained network environment: advances, challenges and prospects
Cites Work
- Unnamed Item
- Least absolute deviations estimation for the censored regression model
- Recursive estimators of signals from measurements with stochastic delays using covariance information
- \(H_\infty\) state estimation for discrete-time neural networks with distributed delays and randomly occurring uncertainties through fading channels
- A new framework for output feedback controller design for a class of discrete-time stochastic nonlinear system with quantization and missing measurement
- Error variance-constrained ℋ∞filtering for a class of nonlinear stochastic systems with degraded measurements: the finite horizon case
- Sliding mode control for a class of nonlinear discrete-time networked systems with multiple stochastic communication delays
- Gain-Constrained Recursive Filtering With Stochastic Nonlinearities and Probabilistic Sensor Delays
- Distributed Asynchronous Fusion Estimator for Stochastic Uncertain Systems With Multiple Sensors of Different Fading Measurement Rates
- Distributed Federated Tobit Kalman Filter Fusion Over a Packet-Delaying Network: A Probabilistic Perspective
- Set-membership filtering for piecewise linear systems with censored measurements under Round-Robin protocol
- Maximum Likelihood Estimation in Semiparametric Regression Models with Censored Data
- Reliable control for a class of nonlinear time-varying stochastic systems with randomly occurring sensor failures
- Distributed multiple model estimation for jump Markov linear systems with missing measurements
- Moving Horizon Estimation for Networked Time-Delay Systems Under Round-Robin Protocol
- Kalman Filtering With Intermittent Observations
- Technical Note—An Expectation-Maximization Method to Estimate a Rank-Based Choice Model of Demand
- Kalman Filtering With Intermittent Observations: Weak Convergence to a Stationary Distribution
- Moving Horizon Estimation With Unknown Inputs Under Dynamic Quantization Effects
