State and fault estimation for nonlinear systems subject to censored measurements: A dynamic event‐triggered case
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Publication:6085470
DOI10.1002/rnc.6062zbMath1528.93134OpenAlexW4211083804MaRDI QIDQ6085470
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Publication date: 12 December 2023
Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/rnc.6062
nonlinear systemstate and fault estimationcensored measurementdynamic event-triggering protocolfault signals
Cites Work
- Variance-constrained \(H_\infty\) control for a class of nonlinear stochastic discrete time-varying systems: the event-triggered design
- \(H_{\infty }\) filtering with randomly occurring sensor saturations and missing measurements
- Fault estimation for time-varying Markovian jump systems with randomly occurring nonlinearities and time delays
- Actuator fault robust estimation and fault-tolerant control for a class of nonlinear descriptor systems
- Robust fault detection for networked systems with communication delay and data missing
- Joint state and fault estimation for time-varying nonlinear systems with randomly occurring faults and sensor saturations
- Finite-time control in probability for time-varying systems with measurement censoring
- Finite-horizon filtering for a class of nonlinear time-delayed systems with an energy harvesting sensor
- A distributed Kalman filter with event-triggered communication and guaranteed stability
- Extended Kalman filtering with stochastic nonlinearities and multiple missing measurements
- Distributed filtering based on Cauchy-kernel-based maximum correntropy subject to randomly occurring cyber-attacks
- Event-based fusion estimation for multi-rate systems subject to sensor degradations
- Fault estimation for complex networks with randomly varying topologies and stochastic inner couplings
- Non-fragile \(H_\infty\) control for body slip angle of electric vehicles with onboard vision systems: the dynamic event-triggering approach
- A dynamically event-triggered approach to recursive filtering with censored measurements and parameter uncertainties
- Finite-horizon estimation of randomly occurring faults for a class of nonlinear time-varying systems
- Distributed filtering in sensor networks with randomly occurring saturations and successive packet dropouts
- Decentralized Detection With Censoring Sensors
- On Designing $H_{\infty}$ Fault Detection Filter for Linear Discrete Time-Varying Systems
