Disturbance decoupled secure state estimation: An orthogonal projection-based method

This paper investigates the disturbance decoupled secure state estimation problem of a linear system in the presence of sparse sensor attacks and unknown disturbances, where disturbance decoupled state estimation means that the resulting estimate errors do not depend on the value of disturbances. Fi...
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Gespeichert in:

Autor*in:	Li, Jinghao [verfasserIn] Yang, Guang-Hong [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	Disturbance decoupled secure state estimation Orthogonal projection Redundantly strong observability Redundantly strong detectability

Übergeordnetes Werk:	Enthalten in: Automatica - Amsterdam [u.a.] : Elsevier, Pergamon Press, 1963, 147
Übergeordnetes Werk:	volume:147

DOI / URN:	10.1016/j.automatica.2022.110740

Katalog-ID:	ELV008922934

Internformat


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100	1		\|a Li, Jinghao \|e verfasserin \|4 aut
245	1	0	\|a Disturbance decoupled secure state estimation: An orthogonal projection-based method
264		1	\|c 2022
336			\|a nicht spezifiziert \|b zzz \|2 rdacontent
337			\|a Computermedien \|b c \|2 rdamedia
338			\|a Online-Ressource \|b cr \|2 rdacarrier
520			\|a This paper investigates the disturbance decoupled secure state estimation problem of a linear system in the presence of sparse sensor attacks and unknown disturbances, where disturbance decoupled state estimation means that the resulting estimate errors do not depend on the value of disturbances. First, the solvability of the disturbance decoupled secure state estimation problems is analyzed by introducing the concepts of redundantly strong observability and redundantly strong detectability. It is proved that the states can be reconstructed (estimated asymptotically) despite the existence of attacks and disturbances if and only if the system is redundantly strongly observable (redundantly strongly detectable). Second, the design procedure for reconstructing (asymptotically estimating) the states is provided based on the orthogonal projection technique. Specifically, by calculating a sequence of orthogonal projections of the sensors’ measurements, a residual signal is constructed to identify a reliable set for state reconstruction (asymptotic state estimation), and then a least square-based method (an observer-based method) is proposed to reconstruct (asymptotically estimate) the states. Third, the effects of numerical errors on the residual signals are discussed. Finally, two examples are given to validate the effectiveness of the proposed methods.
650		4	\|a Disturbance decoupled secure state estimation
650		4	\|a Orthogonal projection
650		4	\|a Redundantly strong observability
650		4	\|a Redundantly strong detectability
700	1		\|a Yang, Guang-Hong \|e verfasserin \|4 aut
773	0	8	\|i Enthalten in \|t Automatica \|d Amsterdam [u.a.] : Elsevier, Pergamon Press, 1963 \|g 147 \|h Online-Ressource \|w (DE-627)266886388 \|w (DE-600)1468509-7 \|w (DE-576)094478724 \|x 0005-1098 \|7 nnns
773	1	8	\|g volume:147
912			\|a GBV_USEFLAG_U
912			\|a SYSFLAG_U
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912			\|a GBV_ILN_22
912			\|a GBV_ILN_23
912			\|a GBV_ILN_24
912			\|a GBV_ILN_31
912			\|a GBV_ILN_32
912			\|a GBV_ILN_40
912			\|a GBV_ILN_60
912			\|a GBV_ILN_62
912			\|a GBV_ILN_63
912			\|a GBV_ILN_65
912			\|a GBV_ILN_69
912			\|a GBV_ILN_70
912			\|a GBV_ILN_73
912			\|a GBV_ILN_74
912			\|a GBV_ILN_90
912			\|a GBV_ILN_95
912			\|a GBV_ILN_100
912			\|a GBV_ILN_105
912			\|a GBV_ILN_110
912			\|a GBV_ILN_150
912			\|a GBV_ILN_151
912			\|a GBV_ILN_224
912			\|a GBV_ILN_266
912			\|a GBV_ILN_370
912			\|a GBV_ILN_602
912			\|a GBV_ILN_702
912			\|a GBV_ILN_2003
912			\|a GBV_ILN_2004
912			\|a GBV_ILN_2005
912			\|a GBV_ILN_2008
912			\|a GBV_ILN_2010
912			\|a GBV_ILN_2011
912			\|a GBV_ILN_2014
912			\|a GBV_ILN_2015
912			\|a GBV_ILN_2020
912			\|a GBV_ILN_2021
912			\|a GBV_ILN_2025
912			\|a GBV_ILN_2027
912			\|a GBV_ILN_2034
912			\|a GBV_ILN_2038
912			\|a GBV_ILN_2044
912			\|a GBV_ILN_2048
912			\|a GBV_ILN_2049
912			\|a GBV_ILN_2050
912			\|a GBV_ILN_2056
912			\|a GBV_ILN_2059
912			\|a GBV_ILN_2061
912			\|a GBV_ILN_2064
912			\|a GBV_ILN_2065
912			\|a GBV_ILN_2068
912			\|a GBV_ILN_2088
912			\|a GBV_ILN_2111
912			\|a GBV_ILN_2112
912			\|a GBV_ILN_2113
912			\|a GBV_ILN_2118
912			\|a GBV_ILN_2122
912			\|a GBV_ILN_2129
912			\|a GBV_ILN_2143
912			\|a GBV_ILN_2147
912			\|a GBV_ILN_2148
912			\|a GBV_ILN_2152
912			\|a GBV_ILN_2153
912			\|a GBV_ILN_2190
912			\|a GBV_ILN_2336
912			\|a GBV_ILN_2470
912			\|a GBV_ILN_2507
912			\|a GBV_ILN_2522
912			\|a GBV_ILN_4035
912			\|a GBV_ILN_4037
912			\|a GBV_ILN_4112
912			\|a GBV_ILN_4125
912			\|a GBV_ILN_4126
912			\|a GBV_ILN_4242
912			\|a GBV_ILN_4251
912			\|a GBV_ILN_4305
912			\|a GBV_ILN_4313
912			\|a GBV_ILN_4322
912			\|a GBV_ILN_4323
912			\|a GBV_ILN_4324
912			\|a GBV_ILN_4325
912			\|a GBV_ILN_4326
912			\|a GBV_ILN_4333
912			\|a GBV_ILN_4334
912			\|a GBV_ILN_4335
912			\|a GBV_ILN_4338
912			\|a GBV_ILN_4393
936	b	k	\|a 31.00 \|j Mathematik: Allgemeines
936	b	k	\|a 50.20 \|j Automatisierungstechnik
951			\|a AR
952			\|d 147

Indexfelder

author_variant	j l jl g h y ghy
matchkey_str	article:00051098:2022----::itracdculdeuettetmtoaotooap
hierarchy_sort_str	2022
bklnumber	31.00 50.20
publishDate	2022
allfields	10.1016/j.automatica.2022.110740 doi (DE-627)ELV008922934 (ELSEVIER)S0005-1098(22)00606-9 DE-627 ger DE-627 rda eng 000 620 DE-600 31.00 bkl 50.20 bkl Li, Jinghao verfasserin aut Disturbance decoupled secure state estimation: An orthogonal projection-based method 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper investigates the disturbance decoupled secure state estimation problem of a linear system in the presence of sparse sensor attacks and unknown disturbances, where disturbance decoupled state estimation means that the resulting estimate errors do not depend on the value of disturbances. First, the solvability of the disturbance decoupled secure state estimation problems is analyzed by introducing the concepts of redundantly strong observability and redundantly strong detectability. It is proved that the states can be reconstructed (estimated asymptotically) despite the existence of attacks and disturbances if and only if the system is redundantly strongly observable (redundantly strongly detectable). Second, the design procedure for reconstructing (asymptotically estimating) the states is provided based on the orthogonal projection technique. Specifically, by calculating a sequence of orthogonal projections of the sensors’ measurements, a residual signal is constructed to identify a reliable set for state reconstruction (asymptotic state estimation), and then a least square-based method (an observer-based method) is proposed to reconstruct (asymptotically estimate) the states. Third, the effects of numerical errors on the residual signals are discussed. Finally, two examples are given to validate the effectiveness of the proposed methods. Disturbance decoupled secure state estimation Orthogonal projection Redundantly strong observability Redundantly strong detectability Yang, Guang-Hong verfasserin aut Enthalten in Automatica Amsterdam [u.a.] : Elsevier, Pergamon Press, 1963 147 Online-Ressource (DE-627)266886388 (DE-600)1468509-7 (DE-576)094478724 0005-1098 nnns volume:147 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_266 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 31.00 Mathematik: Allgemeines 50.20 Automatisierungstechnik AR 147
spelling	10.1016/j.automatica.2022.110740 doi (DE-627)ELV008922934 (ELSEVIER)S0005-1098(22)00606-9 DE-627 ger DE-627 rda eng 000 620 DE-600 31.00 bkl 50.20 bkl Li, Jinghao verfasserin aut Disturbance decoupled secure state estimation: An orthogonal projection-based method 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper investigates the disturbance decoupled secure state estimation problem of a linear system in the presence of sparse sensor attacks and unknown disturbances, where disturbance decoupled state estimation means that the resulting estimate errors do not depend on the value of disturbances. First, the solvability of the disturbance decoupled secure state estimation problems is analyzed by introducing the concepts of redundantly strong observability and redundantly strong detectability. It is proved that the states can be reconstructed (estimated asymptotically) despite the existence of attacks and disturbances if and only if the system is redundantly strongly observable (redundantly strongly detectable). Second, the design procedure for reconstructing (asymptotically estimating) the states is provided based on the orthogonal projection technique. Specifically, by calculating a sequence of orthogonal projections of the sensors’ measurements, a residual signal is constructed to identify a reliable set for state reconstruction (asymptotic state estimation), and then a least square-based method (an observer-based method) is proposed to reconstruct (asymptotically estimate) the states. Third, the effects of numerical errors on the residual signals are discussed. Finally, two examples are given to validate the effectiveness of the proposed methods. Disturbance decoupled secure state estimation Orthogonal projection Redundantly strong observability Redundantly strong detectability Yang, Guang-Hong verfasserin aut Enthalten in Automatica Amsterdam [u.a.] : Elsevier, Pergamon Press, 1963 147 Online-Ressource (DE-627)266886388 (DE-600)1468509-7 (DE-576)094478724 0005-1098 nnns volume:147 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_266 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 31.00 Mathematik: Allgemeines 50.20 Automatisierungstechnik AR 147
allfields_unstemmed	10.1016/j.automatica.2022.110740 doi (DE-627)ELV008922934 (ELSEVIER)S0005-1098(22)00606-9 DE-627 ger DE-627 rda eng 000 620 DE-600 31.00 bkl 50.20 bkl Li, Jinghao verfasserin aut Disturbance decoupled secure state estimation: An orthogonal projection-based method 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper investigates the disturbance decoupled secure state estimation problem of a linear system in the presence of sparse sensor attacks and unknown disturbances, where disturbance decoupled state estimation means that the resulting estimate errors do not depend on the value of disturbances. First, the solvability of the disturbance decoupled secure state estimation problems is analyzed by introducing the concepts of redundantly strong observability and redundantly strong detectability. It is proved that the states can be reconstructed (estimated asymptotically) despite the existence of attacks and disturbances if and only if the system is redundantly strongly observable (redundantly strongly detectable). Second, the design procedure for reconstructing (asymptotically estimating) the states is provided based on the orthogonal projection technique. Specifically, by calculating a sequence of orthogonal projections of the sensors’ measurements, a residual signal is constructed to identify a reliable set for state reconstruction (asymptotic state estimation), and then a least square-based method (an observer-based method) is proposed to reconstruct (asymptotically estimate) the states. Third, the effects of numerical errors on the residual signals are discussed. Finally, two examples are given to validate the effectiveness of the proposed methods. Disturbance decoupled secure state estimation Orthogonal projection Redundantly strong observability Redundantly strong detectability Yang, Guang-Hong verfasserin aut Enthalten in Automatica Amsterdam [u.a.] : Elsevier, Pergamon Press, 1963 147 Online-Ressource (DE-627)266886388 (DE-600)1468509-7 (DE-576)094478724 0005-1098 nnns volume:147 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_266 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 31.00 Mathematik: Allgemeines 50.20 Automatisierungstechnik AR 147
allfieldsGer	10.1016/j.automatica.2022.110740 doi (DE-627)ELV008922934 (ELSEVIER)S0005-1098(22)00606-9 DE-627 ger DE-627 rda eng 000 620 DE-600 31.00 bkl 50.20 bkl Li, Jinghao verfasserin aut Disturbance decoupled secure state estimation: An orthogonal projection-based method 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper investigates the disturbance decoupled secure state estimation problem of a linear system in the presence of sparse sensor attacks and unknown disturbances, where disturbance decoupled state estimation means that the resulting estimate errors do not depend on the value of disturbances. First, the solvability of the disturbance decoupled secure state estimation problems is analyzed by introducing the concepts of redundantly strong observability and redundantly strong detectability. It is proved that the states can be reconstructed (estimated asymptotically) despite the existence of attacks and disturbances if and only if the system is redundantly strongly observable (redundantly strongly detectable). Second, the design procedure for reconstructing (asymptotically estimating) the states is provided based on the orthogonal projection technique. Specifically, by calculating a sequence of orthogonal projections of the sensors’ measurements, a residual signal is constructed to identify a reliable set for state reconstruction (asymptotic state estimation), and then a least square-based method (an observer-based method) is proposed to reconstruct (asymptotically estimate) the states. Third, the effects of numerical errors on the residual signals are discussed. Finally, two examples are given to validate the effectiveness of the proposed methods. Disturbance decoupled secure state estimation Orthogonal projection Redundantly strong observability Redundantly strong detectability Yang, Guang-Hong verfasserin aut Enthalten in Automatica Amsterdam [u.a.] : Elsevier, Pergamon Press, 1963 147 Online-Ressource (DE-627)266886388 (DE-600)1468509-7 (DE-576)094478724 0005-1098 nnns volume:147 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_266 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 31.00 Mathematik: Allgemeines 50.20 Automatisierungstechnik AR 147
allfieldsSound	10.1016/j.automatica.2022.110740 doi (DE-627)ELV008922934 (ELSEVIER)S0005-1098(22)00606-9 DE-627 ger DE-627 rda eng 000 620 DE-600 31.00 bkl 50.20 bkl Li, Jinghao verfasserin aut Disturbance decoupled secure state estimation: An orthogonal projection-based method 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper investigates the disturbance decoupled secure state estimation problem of a linear system in the presence of sparse sensor attacks and unknown disturbances, where disturbance decoupled state estimation means that the resulting estimate errors do not depend on the value of disturbances. First, the solvability of the disturbance decoupled secure state estimation problems is analyzed by introducing the concepts of redundantly strong observability and redundantly strong detectability. It is proved that the states can be reconstructed (estimated asymptotically) despite the existence of attacks and disturbances if and only if the system is redundantly strongly observable (redundantly strongly detectable). Second, the design procedure for reconstructing (asymptotically estimating) the states is provided based on the orthogonal projection technique. Specifically, by calculating a sequence of orthogonal projections of the sensors’ measurements, a residual signal is constructed to identify a reliable set for state reconstruction (asymptotic state estimation), and then a least square-based method (an observer-based method) is proposed to reconstruct (asymptotically estimate) the states. Third, the effects of numerical errors on the residual signals are discussed. Finally, two examples are given to validate the effectiveness of the proposed methods. Disturbance decoupled secure state estimation Orthogonal projection Redundantly strong observability Redundantly strong detectability Yang, Guang-Hong verfasserin aut Enthalten in Automatica Amsterdam [u.a.] : Elsevier, Pergamon Press, 1963 147 Online-Ressource (DE-627)266886388 (DE-600)1468509-7 (DE-576)094478724 0005-1098 nnns volume:147 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_266 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 31.00 Mathematik: Allgemeines 50.20 Automatisierungstechnik AR 147
language	English
source	Enthalten in Automatica 147 volume:147
sourceStr	Enthalten in Automatica 147 volume:147
format_phy_str_mv	Article
bklname	Mathematik: Allgemeines Automatisierungstechnik
institution	findex.gbv.de
topic_facet	Disturbance decoupled secure state estimation Orthogonal projection Redundantly strong observability Redundantly strong detectability
dewey-raw	000
isfreeaccess_bool	false
container_title	Automatica
authorswithroles_txt_mv	Li, Jinghao @@aut@@ Yang, Guang-Hong @@aut@@
publishDateDaySort_date	2022-01-01T00:00:00Z
hierarchy_top_id	266886388
dewey-sort	0
id	ELV008922934
language_de	englisch
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author	Li, Jinghao
spellingShingle	Li, Jinghao ddc 000 bkl 31.00 bkl 50.20 misc Disturbance decoupled secure state estimation misc Orthogonal projection misc Redundantly strong observability misc Redundantly strong detectability Disturbance decoupled secure state estimation: An orthogonal projection-based method
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topic_title	000 620 DE-600 31.00 bkl 50.20 bkl Disturbance decoupled secure state estimation: An orthogonal projection-based method Disturbance decoupled secure state estimation Orthogonal projection Redundantly strong observability Redundantly strong detectability
topic	ddc 000 bkl 31.00 bkl 50.20 misc Disturbance decoupled secure state estimation misc Orthogonal projection misc Redundantly strong observability misc Redundantly strong detectability
topic_unstemmed	ddc 000 bkl 31.00 bkl 50.20 misc Disturbance decoupled secure state estimation misc Orthogonal projection misc Redundantly strong observability misc Redundantly strong detectability
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title	Disturbance decoupled secure state estimation: An orthogonal projection-based method
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title_full	Disturbance decoupled secure state estimation: An orthogonal projection-based method
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title_sort	disturbance decoupled secure state estimation: an orthogonal projection-based method
title_auth	Disturbance decoupled secure state estimation: An orthogonal projection-based method
abstract	This paper investigates the disturbance decoupled secure state estimation problem of a linear system in the presence of sparse sensor attacks and unknown disturbances, where disturbance decoupled state estimation means that the resulting estimate errors do not depend on the value of disturbances. First, the solvability of the disturbance decoupled secure state estimation problems is analyzed by introducing the concepts of redundantly strong observability and redundantly strong detectability. It is proved that the states can be reconstructed (estimated asymptotically) despite the existence of attacks and disturbances if and only if the system is redundantly strongly observable (redundantly strongly detectable). Second, the design procedure for reconstructing (asymptotically estimating) the states is provided based on the orthogonal projection technique. Specifically, by calculating a sequence of orthogonal projections of the sensors’ measurements, a residual signal is constructed to identify a reliable set for state reconstruction (asymptotic state estimation), and then a least square-based method (an observer-based method) is proposed to reconstruct (asymptotically estimate) the states. Third, the effects of numerical errors on the residual signals are discussed. Finally, two examples are given to validate the effectiveness of the proposed methods.
abstractGer	This paper investigates the disturbance decoupled secure state estimation problem of a linear system in the presence of sparse sensor attacks and unknown disturbances, where disturbance decoupled state estimation means that the resulting estimate errors do not depend on the value of disturbances. First, the solvability of the disturbance decoupled secure state estimation problems is analyzed by introducing the concepts of redundantly strong observability and redundantly strong detectability. It is proved that the states can be reconstructed (estimated asymptotically) despite the existence of attacks and disturbances if and only if the system is redundantly strongly observable (redundantly strongly detectable). Second, the design procedure for reconstructing (asymptotically estimating) the states is provided based on the orthogonal projection technique. Specifically, by calculating a sequence of orthogonal projections of the sensors’ measurements, a residual signal is constructed to identify a reliable set for state reconstruction (asymptotic state estimation), and then a least square-based method (an observer-based method) is proposed to reconstruct (asymptotically estimate) the states. Third, the effects of numerical errors on the residual signals are discussed. Finally, two examples are given to validate the effectiveness of the proposed methods.
abstract_unstemmed	This paper investigates the disturbance decoupled secure state estimation problem of a linear system in the presence of sparse sensor attacks and unknown disturbances, where disturbance decoupled state estimation means that the resulting estimate errors do not depend on the value of disturbances. First, the solvability of the disturbance decoupled secure state estimation problems is analyzed by introducing the concepts of redundantly strong observability and redundantly strong detectability. It is proved that the states can be reconstructed (estimated asymptotically) despite the existence of attacks and disturbances if and only if the system is redundantly strongly observable (redundantly strongly detectable). Second, the design procedure for reconstructing (asymptotically estimating) the states is provided based on the orthogonal projection technique. Specifically, by calculating a sequence of orthogonal projections of the sensors’ measurements, a residual signal is constructed to identify a reliable set for state reconstruction (asymptotic state estimation), and then a least square-based method (an observer-based method) is proposed to reconstruct (asymptotically estimate) the states. Third, the effects of numerical errors on the residual signals are discussed. Finally, two examples are given to validate the effectiveness of the proposed methods.
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title_short	Disturbance decoupled secure state estimation: An orthogonal projection-based method
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author2	Yang, Guang-Hong
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doi_str	10.1016/j.automatica.2022.110740
up_date	2024-07-06T21:22:20.350Z
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Disturbance decoupled secure state estimation: An orthogonal projection-based method

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