Gain-constrained extended Kalman filtering with stochastic nonlinearities and randomly occurring measurement delays
DOI10.1007/s00034-016-0244-4zbMath1345.93159OpenAlexW2301758213MaRDI QIDQ318577
Jianhui Zhao, Gaoliang Li, Yan Zhao, Shuo Zhang
Publication date: 5 October 2016
Published in: Circuits, Systems, and Signal Processing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00034-016-0244-4
extended Kalman filteringfinite-horizon recursive filtergain constraintrandomly occurring measurement delaysstochastic nonlinearities
Filtering in stochastic control theory (93E11) Nonlinear systems in control theory (93C10) Linear systems in control theory (93C05) Stochastic systems in control theory (general) (93E03)
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Recursive robust filtering with finite-step correlated process noises and missing measurements
- \(H_{\infty }\) 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
- Energy-efficient weighted observation fusion Kalman filtering with randomly delayed measurements
- Non-fragile \(H_\infty\) filter design for uncertain stochastic nonlinear time-delay Markovian jump systems
- Uniform attractors for impulsive reaction-diffusion equations
- A new formulation of some discrete-time stochastic-parameter state estimation problems
- Extension of minimum variance estimation for systems with unknown inputs.
- A robust recursive filter for nonlinear systems with correlated noises, packet losses, and multiplicative noises
- Extended Kalman filtering with stochastic nonlinearities and multiple missing measurements
- A Gaussian approximation recursive filter for nonlinear systems with correlated noises
- Recursive filtering with random parameter matrices, multiple fading measurements and correlated noises
- Robust filtering with stochastic nonlinearities and multiple missing measurements
- Quantised recursive filtering for a class of nonlinear systems with multiplicative noises and missing measurements
- Robust extended Kalman filtering for nonlinear systems with multiplicative noises
- Kalman filtering with constrained output injection
- Robust Kalman filtering for uncertain discrete-time systems
- Gain-Constrained Kalman Filtering for Linear and Nonlinear Systems
- 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/sub /spl infin// filtering for multiple-time-delay measurements
- Stochastic Stability of the Extended Kalman Filter With Intermittent Observations
- Robust Filtering With Randomly Varying Sensor Delay: The Finite-Horizon Case
- State estimation for a class of discrete nonlinear systems with randomly occurring uncertainties and distributed sensor delays
- Kalman Filtering
This page was built for publication: Gain-constrained extended Kalman filtering with stochastic nonlinearities and randomly occurring measurement delays
