Unified finite horizon \(H_{\infty}\) fusion filtering for networked dynamical system
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Publication:1717880
DOI10.1155/2014/216283zbMath1407.93395OpenAlexW2073738678WikidataQ59063923 ScholiaQ59063923MaRDI QIDQ1717880
Chenglin Wen, Jingjing Yan, Xiaoliang Feng
Publication date: 8 February 2019
Published in: Mathematical Problems in Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2014/216283
Filtering in stochastic control theory (93E11) Discrete-time control/observation systems (93C55) Estimation and detection in stochastic control theory (93E10) (H^infty)-control (93B36)
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Cites Work
- On stochastic finite-time control of discrete-time fuzzy systems with packet dropout
- \(H_\infty \) filtering of network-based systems with random delay
- \(H_\infty \) filtering for nonlinear discrete-time stochastic systems with randomly varying sensor delays
- Linear minimum variance estimators for systems with bounded random measurement delays and packet dropouts
- Optimal linear estimation for systems with multiple packet dropouts
- Linear unbiased state estimation with random one-step sensor delay
- Optimal \(\mathcal H_{\infty}\) filtering in networked control systems with multiple packet dropouts
- Optimal Centralized Update With Multiple Local Out-of-Sequence Measurements
- Linear estimation in Krein spaces. II. Applications
- Globally Optimal Distributed Kalman Fusion With Local Out-of-Sequence-Measurement Updates
- A Reorganized Innovation Approach to Linear Estimation
- ${\cal H}_{\infty}$ Estimation for Uncertain Systems With Limited Communication Capacity
- Optimal update with out-of-sequence measurements
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