Optimal Kalman filtering for a class of state delay systems with randomly multiple sensor delays
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Publication:1724804
DOI10.1155/2014/716716zbMath1406.93342OpenAlexW2101850731WikidataQ59040858 ScholiaQ59040858MaRDI QIDQ1724804
Publication date: 14 February 2019
Published in: Abstract and Applied Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2014/716716
Filtering in stochastic control theory (93E11) Linear systems in control theory (93C05) Discrete event control/observation systems (93C65) Stochastic systems in control theory (general) (93E03)
Related Items (2)
Optimal filtering for systems with finite-step autocorrelated process noises, random one-step sensor delay and missing measurements ⋮ Kalman filtering for discrete stochastic systems with multiplicative noises and random two-step sensor delays
Cites Work
- Unnamed Item
- Unnamed Item
- \(H_{\infty }\) filtering with randomly occurring sensor saturations and missing measurements
- Probability-guaranteed \(H_\infty\) finite-horizon filtering for a class of nonlinear time-varying systems with sensor saturations
- Robust \(l_2\)-\(l_\infty\) filtering for discrete-time delay systems
- Recent advances on recursive filtering and sliding mode design for networked nonlinear stochastic systems: a survey
- A linear matrix inequality approach to robust fault detection filter design of linear systems with mixed time-varying delays and nonlinear perturbations
- Minimum variance generalized state estimators for multiple sensors with different delay rates
- \(H_\infty \) filtering for nonlinear discrete-time stochastic systems with randomly varying sensor delays
- Linear minimum variance estimators for systems with bounded random measurement delays and packet dropouts
- A filtering algorithm for maneuvering target tracking based on smoothing spline fitting
- Extended Kalman filtering with stochastic nonlinearities and multiple missing measurements
- Asymptotic parameter estimation for a class of linear stochastic systems using Kalman-Bucy filtering
- Recursive filtering with random parameter matrices, multiple fading measurements and correlated noises
- \(\mathcal H_\infty \) consensus control for multi-agent systems with missing measurements: the finite-horizon case
- Kalman filtering for multiple time-delay systems
- H ∞ sliding mode observer design for a class of nonlinear discrete time-delay systems: A delay-fractioning approach
- Quantised recursive filtering for a class of nonlinear systems with multiplicative noises and missing measurements
- Data-driven monitoring for stochastic systems and its application on batch process
- Robust distributed state estimation for sensor networks with multiple stochastic communication delays
- Adaptive Kalman Filtering in Networked Systems With Random Sensor Delays, Multiple Packet Dropouts and Missing Measurements
- Optimal Linear Estimators for Systems With Random Sensor Delays, Multiple Packet Dropouts and Uncertain Observations
- Gain-Constrained Recursive Filtering With Stochastic Nonlinearities and Probabilistic Sensor Delays
- H∞ control of parameter-dependent state-delayed systems using polynomial parameter-dependent quadratic functions
- Optimal Estimation in Networked Control Systems Subject to Random Delay and Packet Drop
- On Designing of Sliding-Mode Control for Stochastic Jump Systems
- Finite-Horizon $H_{\infty} $ Filtering With Missing Measurements and Quantization Effects
- State estimation for a class of discrete nonlinear systems with randomly occurring uncertainties and distributed sensor delays
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