Data-Driven Filter Design for Linear Networked Systems with Bounded Noise
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Publication:2965211
DOI10.1007/978-3-662-48386-2_20zbMath1356.93089OpenAlexW2337622666MaRDI QIDQ2965211
Wen Xie, Yulong Gao, Li Dai, Yuanqing Xia
Publication date: 28 February 2017
Published in: Proceedings of the 2015 Chinese Intelligent Systems Conference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/978-3-662-48386-2_20
Filtering in stochastic control theory (93E11) Stochastic network models in operations research (90B15) Discrete-time control/observation systems (93C55) Estimation and detection in stochastic control theory (93E10) Linear systems in control theory (93C05)
Cites Work
- Analysis and synthesis of networked control systems
- Direct data-driven filter design for uncertain LTI systems with bounded noise
- Networked \(H_\infty\) filtering for linear discrete-time systems
- Parameter-dependent robust \(H_\infty\) filtering for uncertain discrete-time systems
- The filter design from data (FD2) problem: nonlinear set membership approach
- On the model-based control of networked systems
- Least-squares parameter estimation for systems with irregularly missing data
- Robust filter design for piecewise discrete-time systems with time-varying delays
- Network-Based $H_{\infty}$ Filtering for Discrete-Time Systems
- Data Transmission Over Networks for Estimation and Control
- Direct Filtering: A New Approach to Optimal Filter Design for Nonlinear Systems
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