Scalable recursive state estimation for nonlinear two‐dimensional complex networks with switching topology
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Publication:6194549
DOI10.1002/rnc.6718MaRDI QIDQ6194549
Hossein Rezaei, Guillaume Crevecoeur, Arash Farnam
Publication date: 12 March 2024
Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)
Nonlinear systems in control theory (93C10) Estimation and detection in stochastic control theory (93E10) Networked control (93B70)
Cites Work
- \(H_\infty\) control and filtering of two-dimensional systems
- 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
- Robust Kalman filtering for two-dimensional systems with multiplicative noises and measurement degradations: the finite-horizon case
- On robust Kalman filter for two-dimensional uncertain linear discrete time-varying systems: a least squares method
- Filtering and control for classes of two-dimensional system
- Recursive state estimation for two-dimensional shift-varying systems with random parameter perturbation and dynamical bias
- Optimal state and fault estimation for two-dimensional discrete systems
- Recursive distributed filtering for two-dimensional shift-varying systems over sensor networks under stochastic communication protocols
- Event-triggered recursive state estimation for dynamical networks under randomly switching topologies and multiple missing measurements
- Recursive locally minimum-variance filtering for two-dimensional systems: when dynamic quantization effect meets random sensor failure
- State estimation for two-dimensional complex networks with randomly occurring nonlinearities and randomly varying sensor delays
- State estimation in discrete m-D systems
- A discrete state-space model for linear image processing
- State-space realization theory of two-dimensional filters
- Doubly-indexed dynamical systems: State-space models and structural properties
- Unbiased Minimum Variance Fault and State Estimation for Linear Discrete Time-Varying Two-Dimensional Systems
- State Estimation for Stochastic Complex Networks With Switching Topology
- Minimum-Variance Recursive Filtering for Two-Dimensional Systems With Degraded Measurements: Boundedness and Monotonicity
- Resilient Filtering for Nonlinear Complex Networks With Multiplicative Noise
- Fault Diagnosability Analysis of Two-Dimensional Linear Discrete Systems
- Event‐triggered distributed Kalman filter with consensus on estimation for state‐saturated systems
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