Event-triggered robust state estimation for systems with unknown exogenous inputs
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Publication:2208570
DOI10.1016/j.automatica.2020.109248zbMath1451.93236OpenAlexW3087098021MaRDI QIDQ2208570
Jiarao Huang, Tongwen Chen, Dawei Shi
Publication date: 3 November 2020
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.automatica.2020.109248
robust estimationunknown exogenous inputsremote state estimationrisk-sensitive filteringevent-triggered scheduling
Discrete-time control/observation systems (93C55) Estimation and detection in stochastic control theory (93E10) Linear systems in control theory (93C05) Discrete event control/observation systems (93C65)
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Cites Work
- Unnamed Item
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- Event-based state estimation of linear dynamic systems with unknown exogenous inputs
- Finite-horizon Gaussianity-preserving event-based sensor scheduling in Kalman filter applications
- State estimation with partially observed inputs: a unified Kalman filtering approach
- An event-triggered approach to state estimation with multiple point- and set-valued measurements
- Optimal designs for nonlinear regression models with respect to non-informative priors
- Distributed event-triggered \(H_\infty\) filtering over sensor networks with communication delays
- Risk-sensitive filtering and smoothing for hidden Markov models
- Event-based state estimation. A stochastic perspective
- New unified \(H_\infty\) dynamic observer design for linear systems with unknown inputs
- Unbiased minimum-variance state estimation for linear systems with unknown input
- Unbiased minimum-variance linear state estimation
- Unbiased minimum variance estimation for systems with unknown exogenous inputs
- Extension of minimum variance estimation for systems with unknown inputs.
- Bayes factors for a test about the drift of the Brownian motion under noninformative priors.
- H\(_\infty\) generalized dynamic unknown inputs observer design for discrete LPV systems. Application to wind turbine
- Robust event-triggered state estimation: a risk-sensitive approach
- Event-triggered \(H_\infty\) filtering for delayed neural networks via sampled-data
- Event-based \(H_\infty\) filtering for sampled-data systems
- On finite-horizon \(\ell_2\)-induced norms of discrete-time switched linear systems
- Adaptive Sampling for Linear State Estimation
- Multi-Sensor Scheduling for State Estimation With Event-Based, Stochastic Triggers
- Stochastic Event-Triggered Sensor Schedule for Remote State Estimation
- On Set-Valued Kalman Filtering and Its Application to Event-Based State Estimation
- Event-Based State Estimation With Variance-Based Triggering
- On stable simultaneous input and state estimation for discrete-time linear systems
- Risk-sensitive control and dynamic games for partially observed discrete-time nonlinear systems
- Wavelet-based image estimation: an empirical Bayes approach using Jeffrey's noninformative prior
- Event-based input and state estimation for linear discrete time-varying systems
- 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
- Optimal stochastic linear systems with exponential performance criteria and their relation to deterministic differential games
- Event-Triggered Risk-Sensitive State Estimation for Hidden Markov Models
- Stability analysis and control synthesis for switched systems: a switched Lyapunov function approach
- Robustness and risk-sensitive filtering
- Stabilization of Arbitrary Switched Linear Systems With Unknown Time-Varying Delays
- Event Based State Estimation With Time Synchronous Updates
- Event-Based Sensor Data Scheduling: Trade-Off Between Communication Rate and Estimation Quality
- On posterior distributions for signals in Gaussian noise with unknown covariance matrix
- Event triggered robust filter design for discrete‐time systems
- An invariant form for the prior probability in estimation problems