Variance-constrained filtering for nonlinear systems with randomly occurring quantized measurements: recursive scheme and boundedness analysis
From MaRDI portal
Publication:1720181
DOI10.1186/s13662-019-2000-0zbMath1458.93249OpenAlexW2937680865WikidataQ128430257 ScholiaQ128430257MaRDI QIDQ1720181
Publication date: 12 February 2019
Published in: Advances in Difference Equations (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1186/s13662-019-2000-0
time-varying nonlinear systemsboundedness analysisrandomly occurring quantized measurementsvariance-constrained filtering
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)
Related Items (2)
Variance-constrained resilient \(H_{\infty }\) state estimation for time-varying neural networks with randomly varying nonlinearities and missing measurements ⋮ A survey on sliding mode control for networked control systems
Cites Work
- Unnamed Item
- Stochastic stability of a modified unscented Kalman filter with stochastic nonlinearities and multiple fading measurements
- Robust \(H_\infty \) finite-horizon filtering with randomly occurred nonlinearities and quantization effects
- State estimation under false data injection attacks: security analysis and system protection
- On a general filter regularization method for the 2D and 3D Poisson equation in physical geodesy
- A variance-constrained approach to recursive state estimation for time-varying complex networks with missing measurements
- Robust control of a class of uncertain nonlinear systems
- Finite-time reliable filtering for T-S fuzzy stochastic jumping neural networks under unreliable communication links
- Fault detection filter design for continuous-time nonlinear Markovian jump systems with mode-dependent delay and time-varying transition probabilities
- Adaptive finite-time control for stochastic nonlinear systems subject to unknown covariance noise
- The interval versions of the Kalman filter and the EM algorithm
- State estimation for complex-valued memristive neural networks with time-varying delays
- Joint state and fault estimation for time-varying nonlinear systems with randomly occurring faults and sensor saturations
- Envelope-constrained \(H_\infty\) filtering for nonlinear systems with quantization effects: the finite horizon case
- Robust variance-constrained filtering for a class of nonlinear stochastic systems with missing measurements
- Optimal filtering for systems with finite-step autocorrelated process noises, random one-step sensor delay and missing measurements
- A sliding mode approach to \(H_\infty\) non-fragile observer-based control design for uncertain Markovian neutral-type stochastic systems
- Existence on positive solutions for boundary value problems of nonlinear fractional differential equations with \(p\)-Laplacian
- Set-membership state estimation subject to uniform quantization effects and communication constraints
- New insight into reachable set estimation for uncertain singular time-delay systems
- 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
- Stochastic stability of the discrete-time extended Kalman filter
- Stabilization of linear systems with limited information
- Ultimate Boundedness Control for Networked Systems With Try-Once-Discard Protocol and Uniform Quantization Effects
- Event-Based <formula formulatype="inline"><tex Notation="TeX">$H_{\infty}$</tex></formula> Filter Design for a Class of Nonlinear Time-Varying Systems With Fading Channels and Multiplicative Noises
- The sector bound approach to quantized feedback control
- Fault estimation for discrete-time switched nonlinear systems with discrete and distributed delays
- Finite-Horizon $H_{\infty} $ Filtering With Missing Measurements and Quantization Effects
- New distributed fusion filtering algorithm based on covariances over sensor networks with random packet dropouts
- State estimation for a class of discrete nonlinear systems with randomly occurring uncertainties and distributed sensor delays
This page was built for publication: Variance-constrained filtering for nonlinear systems with randomly occurring quantized measurements: recursive scheme and boundedness analysis
