Optimal H2 filtering for sampled‐data systems with measurement delays and packet dropouts
This study examines the H2 filtering problem for sampled‐data systems that are subject to measurement delays and packet dropouts. The phenomenon of packet dropout is different for each observation component and is described as an independent and identically distributed Bernoulli process, which is mo...
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| Published in | IET signal processing Vol. 15; no. 3; pp. 182 - 194 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
John Wiley & Sons, Inc
01.05.2021
Wiley |
| Online Access | Get full text |
| ISSN | 1751-9675 1751-9683 |
| DOI | 10.1049/sil2.12021 |
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| Abstract | This study examines the H2 filtering problem for sampled‐data systems that are subject to measurement delays and packet dropouts. The phenomenon of packet dropout is different for each observation component and is described as an independent and identically distributed Bernoulli process, which is more general than the scalar packet dropout case. The reorganized observation technique is introduced herein to address the time delays in the observations. An optimal filter is constructed using a deterministic continuous‐time system with finite jumps, where the filter gains are determined by integrating a specific continuous‐time Riccati equation with finite jumps, based on a suitable algebraic Lyapunov equation. Compared with the discrete‐time filter, the optimal filter can provide the state estimates of the measurement sampling intervals and measurement sampling moments. Two simulation examples are explored to demonstrate the effectiveness of the proposed method. |
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| AbstractList | This study examines the H2 filtering problem for sampled‐data systems that are subject to measurement delays and packet dropouts. The phenomenon of packet dropout is different for each observation component and is described as an independent and identically distributed Bernoulli process, which is more general than the scalar packet dropout case. The reorganized observation technique is introduced herein to address the time delays in the observations. An optimal filter is constructed using a deterministic continuous‐time system with finite jumps, where the filter gains are determined by integrating a specific continuous‐time Riccati equation with finite jumps, based on a suitable algebraic Lyapunov equation. Compared with the discrete‐time filter, the optimal filter can provide the state estimates of the measurement sampling intervals and measurement sampling moments. Two simulation examples are explored to demonstrate the effectiveness of the proposed method. Abstract This study examines the H2 filtering problem for sampled‐data systems that are subject to measurement delays and packet dropouts. The phenomenon of packet dropout is different for each observation component and is described as an independent and identically distributed Bernoulli process, which is more general than the scalar packet dropout case. The reorganized observation technique is introduced herein to address the time delays in the observations. An optimal filter is constructed using a deterministic continuous‐time system with finite jumps, where the filter gains are determined by integrating a specific continuous‐time Riccati equation with finite jumps, based on a suitable algebraic Lyapunov equation. Compared with the discrete‐time filter, the optimal filter can provide the state estimates of the measurement sampling intervals and measurement sampling moments. Two simulation examples are explored to demonstrate the effectiveness of the proposed method. This study examines the H[sub.2] filtering problem for sampled‐data systems that are subject to measurement delays and packet dropouts. The phenomenon of packet dropout is different for each observation component and is described as an independent and identically distributed Bernoulli process, which is more general than the scalar packet dropout case. The reorganized observation technique is introduced herein to address the time delays in the observations. An optimal filter is constructed using a deterministic continuous‐time system with finite jumps, where the filter gains are determined by integrating a specific continuous‐time Riccati equation with finite jumps, based on a suitable algebraic Lyapunov equation. Compared with the discrete‐time filter, the optimal filter can provide the state estimates of the measurement sampling intervals and measurement sampling moments. Two simulation examples are explored to demonstrate the effectiveness of the proposed method. |
| Audience | Academic |
| Author | Wang, Wei Han, Chunyan |
| Author_xml | – sequence: 1 givenname: Wei surname: Wang fullname: Wang, Wei organization: University of Jinan – sequence: 2 givenname: Chunyan orcidid: 0000-0001-5809-1740 surname: Han fullname: Han, Chunyan email: cyhan823@hotmail.com organization: University of Jinan |
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| Copyright | 2021 The Authors. published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology. COPYRIGHT 2021 John Wiley & Sons, Inc. |
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| References_xml | – volume: 62 start-page: 4839 issue: 18 year: 2014 end-page: 4846 article-title: H sampled‐data filtering of linear systems publication-title: IEEE Trans. Signal Process – volume: 352 start-page: 5985 issue: 12 year: 2015 end-page: 6010 article-title: Optimal H filtering for periodic linear stochastic systems with multiplicative white noise perturbations and sampled measurements publication-title: J. Franklin Institute – volume: 32 start-page: 1128 issue: 4 year: 1994 end-page: 1150 article-title: Characterization of the L ‐induced norm for linear systems with jumps with applications to sampled‐data systems publication-title: SIAM J. Control Optim – year: 2005 – volume: 49 start-page: 1810 issue: 10 year: 2004 end-page: 1814 article-title: A reorganized innovation approach to linear estimation publication-title: IEEE Trans. Automat. Control – volume: 65 start-page: 5368 issue: 12 year: 2020 end-page: 5375 article-title: Moving horizon estimation with unknown inputs under dynamic quantization effects publication-title: IEEE Trans. Automat. Control – volume: 37 start-page: 623 issue: 5 year: 1992 end-page: 626 article-title: Polynomial equations for the linear MMSE state estimation publication-title: IEEE Trans. Automat. Control – volume: 143 start-page: 191 year: 2018 end-page: 199 article-title: Finite frequency H filter design for t‐s fuzzy systems: New approach publication-title: Signal Process – volume: 69 start-page: 410 year: 2016 end-page: 417 article-title: Distributed controller‐estimator for target tracking of networked robotic systems under sampled interaction publication-title: Automatica – volume: 134 year: 2019 article-title: Stochastic linear quadratic differential games in a state feedback setting with sampled measurements publication-title: Syst. Control Lett – volume: 43 start-page: 77 issue: 2 year: 2001 end-page: 84 article-title: Quadratic stability and stabilization of uncertain linear discrete‐time systems with state delay publication-title: Syst. Control Lett – volume: 65 start-page: 3005 issue: 9 year: 2018 end-page: 3013 article-title: Finite frequency filtering design for uncertain discrete‐time systems using past output measurements publication-title: IEEE Trans. Circuits Syst. I Regular Papers – year: 2020 article-title: Finite‐frequency memory filter design for uncertain linear discrete‐time systems: A polynomially parameter‐dependent approach publication-title: ISA Transactions – year: 2014 – volume: 60 start-page: 871 issue: 10 year: 2011 end-page: 876 article-title: H filtering for nonuniformly sampled systems: A Markovian jump systems approach publication-title: Syst. Control Lett – volume: 9 start-page: 3078 issue: 4 year: 2009 end-page: 3089 article-title: Networked estimation for event‐based sampling systems with packet dropouts publication-title: Sensors – volume: 63 start-page: 162 issue: 63 year: 2016 end-page: 166 article-title: Stabilization for sampled‐data systems under noisy sampling interval publication-title: Automatica – year: 1970 article-title: Stochastic processes and filtering theory – volume: 51 start-page: 55 year: 2015 end-page: 69 article-title: Event‐based H filtering for sampled‐data systems publication-title: Automatica – volume: 50 year: 2006 – volume: 44 start-page: 1268 issue: 5 year: 2008 end-page: 1277 article-title: H filtering for uncertain stochastic time‐delay systems with sector‐bounded nonlinearities publication-title: Automatica – volume: 91 start-page: 1826 issue: 8 year: 2011 end-page: 1837 article-title: H filtering for sampled‐data stochastic systems with limited capacity channel publication-title: Signal Process – volume: 29 start-page: 3726 issue: 8 year: 2018 end-page: 3737 article-title: Event‐triggered h state estimation for delayed stochastic memristive neural networks with missing measurements: The discrete time case publication-title: IEEE Trans. Neural Netw – volume: 351 start-page: 2515 issue: 5 year: 2014 end-page: 2542 article-title: Sampled‐data H filtering of Takagi‐Sugeno fuzzy systems with interval time‐varying delays publication-title: J. Franklin Institute – volume: 357 start-page: 261 year: 2019 end-page: 270 article-title: State estimation for neural networks with Markov‐based nonuniform sampling: the partly unknown transition probability case publication-title: Neurocomputing – volume: 115 year: 2020 article-title: Event‐triggered recursive state estimation for dynamical networks under randomly switching topologies and multiple missing measurements publication-title: Automatica – volume: 284 start-page: 115 year: 2016 end-page: 124 article-title: Linear optimal estimation for discrete‐time systems with measurement‐delay and packet dropping publication-title: Appl. Math. Comput – year: 1969 – volume: 11 start-page: 477 issue: 4 year: 2017 end-page: 485 article-title: New results on H filter design for sampled‐data systems with packet dropouts and transmission delays publication-title: IET Signal Process – volume: 120 year: 2020 article-title: Moving horizon estimation with non‐uniform sampling under component‐based dynamic event‐triggered transmission publication-title: Automatica – volume: 49 start-page: 666 issue: 3 year: 2001 end-page: 670 article-title: Sampled‐data filtering with error covariance assignment publication-title: IEEE Trans. Signal Process – volume: 109 year: 2019 article-title: A novel approach to sampled‐data filter design for piecewise‐affine systems publication-title: Automatica – volume: 48 start-page: 2494 issue: 10 year: 2012 end-page: 2501 article-title: Optimal H filtering for a class of linear stochastic systems with sampling publication-title: Automatica – volume: 38 start-page: 58 issue: 1 year: 1993 end-page: 69 article-title: Robust stability and performance analysis of sampled‐data systems publication-title: IEEE Trans. Automatic Control – volume: 16 start-page: 1155 issue: 8 year: 2016 article-title: State estimation for a class of non‐uniform sampling systems with missing measurements publication-title: Sensors – volume: 347 start-page: 688 year: 2019 end-page: 701 article-title: Robust H filtering for polytopic uncertain stochastic systems under quantized sampled outputs publication-title: Appl. Math. Comput – volume: 90 start-page: 1131 issue: 4 year: 2010 end-page: 1145 article-title: H filtering with stochastic sampling publication-title: Signal Process – volume: 92 start-page: 2029 issue: 9 year: 2012 end-page: 2039 article-title: Event‐based H filtering for networked system with communication delay publication-title: Signal Process – volume: 64 start-page: 5191 issue: 12 year: 2019 end-page: 5198 article-title: Moving horizon estimation for networked time‐delay systems under round‐robin protocol publication-title: IEEE Trans. Automat. Control |
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| Title | Optimal H2 filtering for sampled‐data systems with measurement delays and packet dropouts |
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