Event-triggered smoothing for hidden Markov models: risk-sensitive and MMSE results
From MaRDI portal
Publication:2665732
DOI10.1016/j.automatica.2021.109933zbMath1478.93383OpenAlexW3207158177MaRDI QIDQ2665732
Dawei Shi, Meiqi Cheng, Tongwen Chen
Publication date: 19 November 2021
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.automatica.2021.109933
fixed-interval smoothinghidden Markov models (HMMs)event-triggered schedulingrisk-sensitive estimationGilbert-Elliott processesinformation state technique
Estimation and detection in stochastic control theory (93E10) Discrete event control/observation systems (93C65)
Related Items (2)
Event-triggered risk-sensitive smoothing for linear Gaussian systems ⋮ State Estimation with Event Sensors: Observability Analysis and Multi-sensor Fusion
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- An event-triggered approach to state estimation with multiple point- and set-valued measurements
- Event-triggered maximum likelihood state estimation
- 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 of discrete-state hidden Markov models
- Robust event-triggered state estimation: a risk-sensitive approach
- Event-triggered \(H_\infty\) filtering for delayed neural networks via sampled-data
- Event-triggered robust state estimation for systems with unknown exogenous inputs
- Event-based \(H_\infty\) filtering for sampled-data systems
- Multi-Sensor Scheduling for State Estimation With Event-Based, Stochastic Triggers
- Stochastic Event-Triggered Sensor Schedule for Remote State Estimation
- Event-Based State Estimation With Variance-Based Triggering
- Risk-sensitive control and dynamic games for partially observed discrete-time nonlinear systems
- Risk-sensitive filtering and smoothing via reference probability methods
- Event-Triggered State Estimation With an Energy Harvesting Sensor
- Event-Triggered State Estimation: An Iterative Algorithm and Optimality Properties
- 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
- Event Based State Estimation With Time Synchronous Updates
- Event-Based Sensor Data Scheduling: Trade-Off Between Communication Rate and Estimation Quality
- Event-Based State Estimation of Hidden Markov Models Through a Gilbert–Elliott Channel
- Event triggered robust filter design for discrete‐time systems
- On the Nonexistence of Event Triggers That Preserve Gaussian State in Presence of Packet-Drop
This page was built for publication: Event-triggered smoothing for hidden Markov models: risk-sensitive and MMSE results