Resilient Control Design Based on a Sampled-Data Model for a Class of Networked Control Systems Under Denial-of-Service Attacks
This article is concerned with designing resilient state feedback controllers for a class of networked control systems under denial-of-service (DoS) attacks. The sensor samples system states periodically. The DoS attacks usually prevent those sampled signals from being transmitted through a communic...
Saved in:
| Published in | IEEE transactions on cybernetics Vol. 50; no. 8; pp. 3616 - 3626 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
IEEE
01.08.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects | |
| Online Access | Get full text |
Cover
Loading…
| Abstract | This article is concerned with designing resilient state feedback controllers for a class of networked control systems under denial-of-service (DoS) attacks. The sensor samples system states periodically. The DoS attacks usually prevent those sampled signals from being transmitted through a communication network. A logic processor embedded in the controller is introduced to not only receive sampled signals but also capture information on the duration time of each DoS attack. Note that the duration time of DoS attacks is usually both lower and upper bounded. Then the closed-loop system is modeled as an aperiodic sampled-data system closely related to both lower and upper bounds of duration time of DoS attacks. By introducing a novel looped functional, which caters for the <inline-formula> <tex-math notation="LaTeX">N </tex-math></inline-formula>-order canonical Bessel-Legendre inequalities, some <inline-formula> <tex-math notation="LaTeX">N </tex-math></inline-formula>-dependent stability criteria are presented for the resultant closed-loop system. It is worth pointing out that a number of identity formulas are uncovered, which enable us to apply the notable free-weighting matrix approach to derive less conservative stability criteria. A linear-matrix-inequality-based criterion is provided to design stabilizing state-feedback controllers against DoS attacks. A satellite control system is given to demonstrate the effectiveness of the proposed method. |
|---|---|
| AbstractList | This article is concerned with designing resilient state feedback controllers for a class of networked control systems under denial-of-service (DoS) attacks. The sensor samples system states periodically. The DoS attacks usually prevent those sampled signals from being transmitted through a communication network. A logic processor embedded in the controller is introduced to not only receive sampled signals but also capture information on the duration time of each DoS attack. Note that the duration time of DoS attacks is usually both lower and upper bounded. Then the closed-loop system is modeled as an aperiodic sampled-data system closely related to both lower and upper bounds of duration time of DoS attacks. By introducing a novel looped functional, which caters for the <inline-formula> <tex-math notation="LaTeX">N </tex-math></inline-formula>-order canonical Bessel-Legendre inequalities, some <inline-formula> <tex-math notation="LaTeX">N </tex-math></inline-formula>-dependent stability criteria are presented for the resultant closed-loop system. It is worth pointing out that a number of identity formulas are uncovered, which enable us to apply the notable free-weighting matrix approach to derive less conservative stability criteria. A linear-matrix-inequality-based criterion is provided to design stabilizing state-feedback controllers against DoS attacks. A satellite control system is given to demonstrate the effectiveness of the proposed method. This article is concerned with designing resilient state feedback controllers for a class of networked control systems under denial-of-service (DoS) attacks. The sensor samples system states periodically. The DoS attacks usually prevent those sampled signals from being transmitted through a communication network. A logic processor embedded in the controller is introduced to not only receive sampled signals but also capture information on the duration time of each DoS attack. Note that the duration time of DoS attacks is usually both lower and upper bounded. Then the closed-loop system is modeled as an aperiodic sampled-data system closely related to both lower and upper bounds of duration time of DoS attacks. By introducing a novel looped functional, which caters for the N-order canonical Bessel-Legendre inequalities, some N-dependent stability criteria are presented for the resultant closed-loop system. It is worth pointing out that a number of identity formulas are uncovered, which enable us to apply the notable free-weighting matrix approach to derive less conservative stability criteria. A linear-matrix-inequality-based criterion is provided to design stabilizing state-feedback controllers against DoS attacks. A satellite control system is given to demonstrate the effectiveness of the proposed method. This article is concerned with designing resilient state feedback controllers for a class of networked control systems under denial-of-service (DoS) attacks. The sensor samples system states periodically. The DoS attacks usually prevent those sampled signals from being transmitted through a communication network. A logic processor embedded in the controller is introduced to not only receive sampled signals but also capture information on the duration time of each DoS attack. Note that the duration time of DoS attacks is usually both lower and upper bounded. Then the closed-loop system is modeled as an aperiodic sampled-data system closely related to both lower and upper bounds of duration time of DoS attacks. By introducing a novel looped functional, which caters for the N -order canonical Bessel-Legendre inequalities, some N -dependent stability criteria are presented for the resultant closed-loop system. It is worth pointing out that a number of identity formulas are uncovered, which enable us to apply the notable free-weighting matrix approach to derive less conservative stability criteria. A linear-matrix-inequality-based criterion is provided to design stabilizing state-feedback controllers against DoS attacks. A satellite control system is given to demonstrate the effectiveness of the proposed method.This article is concerned with designing resilient state feedback controllers for a class of networked control systems under denial-of-service (DoS) attacks. The sensor samples system states periodically. The DoS attacks usually prevent those sampled signals from being transmitted through a communication network. A logic processor embedded in the controller is introduced to not only receive sampled signals but also capture information on the duration time of each DoS attack. Note that the duration time of DoS attacks is usually both lower and upper bounded. Then the closed-loop system is modeled as an aperiodic sampled-data system closely related to both lower and upper bounds of duration time of DoS attacks. By introducing a novel looped functional, which caters for the N -order canonical Bessel-Legendre inequalities, some N -dependent stability criteria are presented for the resultant closed-loop system. It is worth pointing out that a number of identity formulas are uncovered, which enable us to apply the notable free-weighting matrix approach to derive less conservative stability criteria. A linear-matrix-inequality-based criterion is provided to design stabilizing state-feedback controllers against DoS attacks. A satellite control system is given to demonstrate the effectiveness of the proposed method. This article is concerned with designing resilient state feedback controllers for a class of networked control systems under denial-of-service (DoS) attacks. The sensor samples system states periodically. The DoS attacks usually prevent those sampled signals from being transmitted through a communication network. A logic processor embedded in the controller is introduced to not only receive sampled signals but also capture information on the duration time of each DoS attack. Note that the duration time of DoS attacks is usually both lower and upper bounded. Then the closed-loop system is modeled as an aperiodic sampled-data system closely related to both lower and upper bounds of duration time of DoS attacks. By introducing a novel looped functional, which caters for the [Formula Omitted]-order canonical Bessel–Legendre inequalities, some [Formula Omitted]-dependent stability criteria are presented for the resultant closed-loop system. It is worth pointing out that a number of identity formulas are uncovered, which enable us to apply the notable free-weighting matrix approach to derive less conservative stability criteria. A linear-matrix-inequality-based criterion is provided to design stabilizing state-feedback controllers against DoS attacks. A satellite control system is given to demonstrate the effectiveness of the proposed method. |
| Author | Ding, Lei Zhang, Xian-Ming Han, Qing-Long Ge, Xiaohua |
| Author_xml | – sequence: 1 givenname: Xian-Ming orcidid: 0000-0003-0691-5386 surname: Zhang fullname: Zhang, Xian-Ming email: xianmingzhang@swin.edu.au organization: School of Software and Electrical Engineering, Swinburne University of Technology, Melbourne, VIC, Australia – sequence: 2 givenname: Qing-Long orcidid: 0000-0002-7207-0716 surname: Han fullname: Han, Qing-Long email: qhan@swin.edu.au organization: School of Software and Electrical Engineering, Swinburne University of Technology, Melbourne, VIC, Australia – sequence: 3 givenname: Xiaohua orcidid: 0000-0003-0180-0897 surname: Ge fullname: Ge, Xiaohua email: xge@swin.edu.au organization: School of Software and Electrical Engineering, Swinburne University of Technology, Melbourne, VIC, Australia – sequence: 4 givenname: Lei orcidid: 0000-0003-3555-1411 surname: Ding fullname: Ding, Lei email: dl522@163.com organization: Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing, China |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/31841435$$D View this record in MEDLINE/PubMed |
| BookMark | eNp9kU1v1DAQhi1UREvpD0BIyBIXLln8kcTxsU35kgpIbHvgZM06E-TWiRfbC-qJv45Xu9tDD8zF1vh537HmfU6O5jAjIS85W3DO9Lvr_sfFQjCuF0I3LZfqCTkRvO0qIVRz9HBv1TE5S-mWlepKS3fPyLHkXc1r2ZyQv98xOe9wzrQPc47B08vS-TnTC0g40DBToEuY1h6H6hIy0C9hQE_HEMtD7yElGkb6FfOfEO-K4OCyvE8Zp0Rv5gFj8Zwd-CqM1RLjb2eRnucM9i69IE9H8AnP9ucpufnw_rr_VF19-_i5P7-qrKx1rlrZ1K2oJYhmQAU4MlxZ1EJrteLAQFsLIzCrpWJoW2lFywewqggEaBTylLzd-a5j-LXBlM3kkkXvYcawSUZIoXQZpVVB3zxCb8MmzuV3RtSi5l2pulCv99RmNeFg1tFNEO_NYbUFUDvAxpBSxNFYlyG77X7AecOZ2eZotjmabY5mn2NR8kfKg_n_NK92GoeID3ynpWSNkP8AVCanhw |
| CODEN | ITCEB8 |
| CitedBy_id | crossref_primary_10_1109_TSIPN_2022_3220153 crossref_primary_10_1109_TNSE_2022_3231275 crossref_primary_10_1016_j_apenergy_2022_120636 crossref_primary_10_1016_j_inffus_2024_102232 crossref_primary_10_1016_j_ins_2023_03_088 crossref_primary_10_1016_j_ins_2021_11_082 crossref_primary_10_1109_ACCESS_2024_3357357 crossref_primary_10_1109_TNSE_2021_3107935 crossref_primary_10_1016_j_fss_2024_109114 crossref_primary_10_1002_acs_3882 crossref_primary_10_1002_rnc_5938 crossref_primary_10_1109_JAS_2021_1004162 crossref_primary_10_1016_j_ins_2023_119080 crossref_primary_10_1109_TITS_2023_3286403 crossref_primary_10_1016_j_arcontrol_2023_03_004 crossref_primary_10_1016_j_ins_2020_07_022 crossref_primary_10_1109_TFUZZ_2024_3356011 crossref_primary_10_1016_j_jfranklin_2020_12_025 crossref_primary_10_1016_j_jfranklin_2020_08_042 crossref_primary_10_1109_TSMC_2024_3369093 crossref_primary_10_1145_3703625 crossref_primary_10_1016_j_ins_2023_119084 crossref_primary_10_1016_j_jfranklin_2023_09_018 crossref_primary_10_1109_TFUZZ_2020_3012771 crossref_primary_10_1016_j_jfranklin_2021_02_035 crossref_primary_10_1109_JAS_2022_105623 crossref_primary_10_1109_ACCESS_2022_3163551 crossref_primary_10_1016_j_ins_2022_07_010 crossref_primary_10_1016_j_ins_2023_03_090 crossref_primary_10_1016_j_jfranklin_2020_12_035 crossref_primary_10_1109_TCYB_2021_3050619 crossref_primary_10_1016_j_ins_2022_04_033 crossref_primary_10_1080_21642583_2022_2048322 crossref_primary_10_1016_j_tsep_2024_102999 crossref_primary_10_1080_00207721_2021_1979685 crossref_primary_10_1002_rnc_5831 crossref_primary_10_1109_TII_2023_3308337 crossref_primary_10_1016_j_nahs_2023_101395 crossref_primary_10_1016_j_amc_2023_128041 crossref_primary_10_1109_TIE_2021_3120442 crossref_primary_10_1007_s12555_022_0502_0 crossref_primary_10_1016_j_ins_2021_07_083 crossref_primary_10_1109_JAS_2021_1004261 crossref_primary_10_1360_SSI_2023_0002 crossref_primary_10_1109_TCNS_2023_3330445 crossref_primary_10_1109_TCYB_2023_3312346 crossref_primary_10_1109_TFUZZ_2021_3070700 crossref_primary_10_1109_TCSI_2024_3399757 crossref_primary_10_1109_TCYB_2021_3100303 crossref_primary_10_1002_asjc_2749 crossref_primary_10_1016_j_ins_2022_08_085 crossref_primary_10_1109_TAC_2023_3316989 crossref_primary_10_1016_j_jfranklin_2021_09_021 crossref_primary_10_1109_ACCESS_2020_3044147 crossref_primary_10_1016_j_cnsns_2022_106931 crossref_primary_10_1109_TITS_2024_3422028 crossref_primary_10_1109_TSMC_2022_3189403 crossref_primary_10_1016_j_ins_2020_09_071 crossref_primary_10_1016_j_ins_2021_10_062 crossref_primary_10_1016_j_isatra_2022_04_048 crossref_primary_10_1109_TCYB_2020_3030028 crossref_primary_10_1016_j_energy_2022_124751 crossref_primary_10_1109_TCSI_2021_3097824 crossref_primary_10_1016_j_ins_2023_119079 crossref_primary_10_1109_TCYB_2021_3051963 crossref_primary_10_1109_TIFS_2022_3232961 crossref_primary_10_1016_j_ins_2023_01_125 crossref_primary_10_1002_rnc_6121 crossref_primary_10_1016_j_ifacol_2020_12_2337 crossref_primary_10_1080_00207721_2021_1900449 crossref_primary_10_1016_j_epsr_2023_110006 crossref_primary_10_1016_j_jfranklin_2021_07_044 crossref_primary_10_1109_TIFS_2022_3160355 crossref_primary_10_1016_j_ins_2023_03_045 crossref_primary_10_1109_TCYB_2021_3052792 crossref_primary_10_3390_act12080335 crossref_primary_10_1177_01423312231168915 crossref_primary_10_1109_TCYB_2024_3456084 crossref_primary_10_1109_TNNLS_2021_3054579 crossref_primary_10_1109_TNSE_2022_3196264 crossref_primary_10_1109_TFUZZ_2024_3377799 crossref_primary_10_1016_j_isatra_2022_04_019 crossref_primary_10_1080_00207721_2021_2005178 crossref_primary_10_1109_TSMC_2023_3290011 crossref_primary_10_1177_01423312221148220 crossref_primary_10_1109_TASE_2023_3293844 crossref_primary_10_1109_TNSE_2021_3070804 crossref_primary_10_1109_TCYB_2020_3001187 crossref_primary_10_1109_TCYB_2021_3095959 crossref_primary_10_1007_s00521_023_09370_7 crossref_primary_10_1016_j_ijepes_2023_109320 crossref_primary_10_1016_j_jfranklin_2023_05_035 crossref_primary_10_1109_ACCESS_2024_3439853 crossref_primary_10_1080_00207721_2020_1868615 crossref_primary_10_1109_JAS_2023_123795 crossref_primary_10_1016_j_isatra_2024_04_033 crossref_primary_10_1016_j_prime_2024_100831 crossref_primary_10_1016_j_jfranklin_2021_07_052 crossref_primary_10_1109_TSG_2022_3224903 crossref_primary_10_1109_TSMC_2020_3041121 crossref_primary_10_3390_jmse8060434 crossref_primary_10_1109_TCYB_2022_3170560 crossref_primary_10_1109_TCSI_2021_3098335 crossref_primary_10_1109_TNSE_2023_3273205 crossref_primary_10_1109_TCYB_2020_3020253 crossref_primary_10_1002_rnc_6302 crossref_primary_10_1016_j_ins_2022_08_093 crossref_primary_10_1109_TSMC_2022_3143903 crossref_primary_10_1016_j_matcom_2022_05_028 crossref_primary_10_1007_s11432_024_4259_x crossref_primary_10_1007_s42154_023_00218_3 crossref_primary_10_1016_j_ins_2023_119304 crossref_primary_10_1016_j_oceaneng_2023_113864 crossref_primary_10_1109_TCYB_2022_3163378 crossref_primary_10_1007_s12555_021_0524_z crossref_primary_10_1016_j_jfranklin_2022_02_009 crossref_primary_10_1049_cth2_12394 crossref_primary_10_1016_j_ins_2020_07_041 crossref_primary_10_1177_01423312211043666 crossref_primary_10_1109_TCYB_2023_3311609 crossref_primary_10_1016_j_jfranklin_2021_06_029 crossref_primary_10_1016_j_jfranklin_2020_08_022 crossref_primary_10_1109_TFUZZ_2022_3148875 crossref_primary_10_1109_TNSE_2023_3243253 crossref_primary_10_1109_TNNLS_2020_3030638 crossref_primary_10_1002_mma_9767 crossref_primary_10_1109_TSMC_2023_3234461 crossref_primary_10_1109_TSMC_2024_3354883 crossref_primary_10_1016_j_amc_2022_127229 crossref_primary_10_3390_app12126084 crossref_primary_10_1109_ACCESS_2021_3063229 crossref_primary_10_1007_s40815_022_01343_7 crossref_primary_10_1109_TCYB_2021_3060743 crossref_primary_10_1109_TCSI_2022_3168163 crossref_primary_10_1016_j_jfranklin_2023_04_006 crossref_primary_10_1109_ACCESS_2021_3108639 crossref_primary_10_1109_ACCESS_2025_3526375 crossref_primary_10_1109_JSYST_2023_3268710 crossref_primary_10_3390_s20236866 crossref_primary_10_1109_TCNS_2023_3294431 crossref_primary_10_1016_j_ins_2023_119551 crossref_primary_10_1109_TCYB_2024_3350331 crossref_primary_10_1080_00207721_2021_1998722 crossref_primary_10_1080_00207721_2021_1998843 crossref_primary_10_1109_ACCESS_2021_3121689 crossref_primary_10_1007_s40314_022_01895_2 crossref_primary_10_1109_TCYB_2024_3418609 crossref_primary_10_1016_j_ins_2023_118950 crossref_primary_10_1177_0142331220981427 crossref_primary_10_1109_TSMC_2020_3010825 crossref_primary_10_1109_ACCESS_2023_3277218 crossref_primary_10_1109_TCYB_2022_3222171 crossref_primary_10_1016_j_compeleceng_2022_108308 crossref_primary_10_1002_rnc_7163 crossref_primary_10_1002_rnc_7283 crossref_primary_10_3390_act11070193 crossref_primary_10_1002_rnc_7843 crossref_primary_10_1049_cth2_12576 crossref_primary_10_1016_j_isatra_2022_05_035 crossref_primary_10_1109_ACCESS_2024_3359250 crossref_primary_10_1016_j_ins_2021_12_046 crossref_primary_10_1016_j_isatra_2021_11_027 crossref_primary_10_1016_j_isatra_2022_02_045 crossref_primary_10_1109_TSMC_2021_3100481 crossref_primary_10_1109_TCYB_2020_3034456 crossref_primary_10_1109_TII_2022_3165687 crossref_primary_10_1109_TNNLS_2021_3070623 crossref_primary_10_1016_j_isatra_2022_01_005 crossref_primary_10_1109_TCNS_2022_3141696 crossref_primary_10_1109_TMECH_2022_3201875 crossref_primary_10_3390_app14177838 crossref_primary_10_1016_j_isatra_2022_01_002 crossref_primary_10_1109_TSMC_2021_3049373 crossref_primary_10_1016_j_ins_2023_119132 crossref_primary_10_1016_j_isatra_2022_02_039 crossref_primary_10_1002_rnc_6860 crossref_primary_10_1109_TCYB_2021_3104178 crossref_primary_10_1109_TCYB_2021_3089375 crossref_primary_10_1016_j_automatica_2023_111446 crossref_primary_10_1016_j_jfranklin_2021_07_022 crossref_primary_10_1109_TASE_2023_3327970 crossref_primary_10_1109_TSMC_2021_3090024 crossref_primary_10_1016_j_amc_2023_128444 crossref_primary_10_1016_j_ins_2022_08_125 crossref_primary_10_1016_j_jfranklin_2023_12_015 crossref_primary_10_1109_TASE_2023_3297119 crossref_primary_10_3390_electronics13091737 crossref_primary_10_1016_j_jfranklin_2023_08_036 crossref_primary_10_1016_j_measen_2024_101100 crossref_primary_10_1109_TCYB_2021_3074318 crossref_primary_10_1109_TSMC_2022_3221641 crossref_primary_10_1109_TNSE_2021_3079631 crossref_primary_10_1016_j_isatra_2022_05_012 crossref_primary_10_1016_j_jfranklin_2024_107067 crossref_primary_10_1109_TFUZZ_2023_3305349 crossref_primary_10_1007_s00521_021_05785_2 crossref_primary_10_1109_TCYB_2020_2970556 crossref_primary_10_1109_TFUZZ_2020_3033851 crossref_primary_10_3390_act11070178 crossref_primary_10_1109_TCNS_2023_3282131 crossref_primary_10_1016_j_isatra_2024_04_013 crossref_primary_10_1109_TSMC_2024_3502677 crossref_primary_10_1016_j_ins_2023_118946 crossref_primary_10_1016_j_isatra_2022_01_027 crossref_primary_10_1109_TSMC_2022_3144938 crossref_primary_10_1109_TCYB_2022_3209793 crossref_primary_10_1002_rnc_5674 crossref_primary_10_1016_j_eswa_2023_123048 crossref_primary_10_1109_TCNS_2022_3199219 crossref_primary_10_1109_TCYB_2020_3026083 crossref_primary_10_1109_TCYB_2021_3056990 crossref_primary_10_1109_TCYB_2020_2979342 crossref_primary_10_1109_TNNLS_2022_3217461 crossref_primary_10_1109_TCYB_2022_3218713 crossref_primary_10_1109_TCYB_2021_3110402 crossref_primary_10_1109_TCYB_2021_3128170 crossref_primary_10_1016_j_isatra_2021_12_019 crossref_primary_10_1109_TSMC_2020_3035768 crossref_primary_10_1016_j_ymssp_2020_107481 crossref_primary_10_1016_j_jfranklin_2022_05_030 crossref_primary_10_1109_TSMC_2023_3296638 crossref_primary_10_1109_ACCESS_2021_3069379 crossref_primary_10_1631_FITEE_2300613 crossref_primary_10_1109_TFUZZ_2022_3194365 crossref_primary_10_1002_asjc_2962 crossref_primary_10_1007_s12555_021_0359_7 crossref_primary_10_1109_TIFS_2022_3158550 crossref_primary_10_1016_j_ins_2020_01_047 crossref_primary_10_1016_j_ins_2021_03_054 crossref_primary_10_1016_j_isatra_2022_02_001 crossref_primary_10_31875_2409_9694_2023_10_14 crossref_primary_10_1016_j_ins_2020_08_012 crossref_primary_10_1109_JAS_2022_105548 crossref_primary_10_1016_j_ins_2020_08_013 crossref_primary_10_1109_TSMC_2024_3373560 crossref_primary_10_1016_j_fraope_2023_100012 crossref_primary_10_1007_s11633_021_1306_z crossref_primary_10_1049_cth2_12405 crossref_primary_10_1007_s00034_022_02210_4 crossref_primary_10_1016_j_isatra_2021_12_036 crossref_primary_10_1080_00207721_2022_2143735 crossref_primary_10_1016_j_ins_2023_01_142 crossref_primary_10_1109_TICPS_2023_3297970 crossref_primary_10_1109_TNSE_2022_3144484 crossref_primary_10_3390_app12052562 crossref_primary_10_1177_10775463221130819 crossref_primary_10_1109_TCYB_2020_3015507 crossref_primary_10_1016_j_ijepes_2021_107250 crossref_primary_10_1002_rnc_5633 crossref_primary_10_1002_rnc_6964 crossref_primary_10_1016_j_ins_2020_08_007 crossref_primary_10_1007_s11071_024_10017_y crossref_primary_10_1016_j_ins_2020_09_046 crossref_primary_10_1109_TNNLS_2022_3148184 crossref_primary_10_1109_LCSYS_2023_3287451 crossref_primary_10_1080_23307706_2021_2001385 crossref_primary_10_1109_TCYB_2022_3208012 crossref_primary_10_3390_en18010141 crossref_primary_10_1109_TNNLS_2022_3209135 crossref_primary_10_1109_TCSII_2023_3262672 crossref_primary_10_1109_TNSE_2023_3243095 crossref_primary_10_1109_TSG_2022_3206329 crossref_primary_10_1016_j_ins_2025_122002 crossref_primary_10_1016_j_ins_2020_06_073 crossref_primary_10_1016_j_isatra_2021_12_040 crossref_primary_10_1016_j_ins_2020_06_074 crossref_primary_10_1016_j_ins_2023_119263 crossref_primary_10_1002_asjc_2703 crossref_primary_10_1109_TSMC_2023_3256970 crossref_primary_10_1016_j_isatra_2022_02_022 crossref_primary_10_1109_JAS_2023_123498 crossref_primary_10_1109_TIFS_2023_3347889 crossref_primary_10_1109_TCNS_2023_3338249 crossref_primary_10_1109_TCYB_2022_3194009 crossref_primary_10_1109_TCYB_2021_3131475 crossref_primary_10_1016_j_sysconle_2021_105031 crossref_primary_10_1109_TCNS_2021_3102012 crossref_primary_10_1080_00207721_2022_2053893 crossref_primary_10_1016_j_jfranklin_2020_12_019 crossref_primary_10_1109_TSIPN_2021_3130435 crossref_primary_10_1177_01423312211025956 crossref_primary_10_1109_TCNS_2023_3272824 crossref_primary_10_1109_TCYB_2021_3052732 |
| Cites_doi | 10.1016/j.neucom.2017.10.009 10.1109/TCSII.2005.850418 10.1016/j.automatica.2011.01.022 10.1109/TSMC.2019.2905253 10.1016/j.automatica.2017.04.051 10.1016/j.jfranklin.2017.04.016 10.1002/bltj.20364 10.1109/TSMC.2013.2265083 10.1109/TAC.2017.2751999 10.1109/TAC.1978.1101704 10.1109/TIE.2016.2535119 10.1016/j.automatica.2016.12.026 10.1109/JAS.2019.1911651 10.1109/TCYB.2017.2776283 10.1002/rnc.3038 10.1109/TAC.2014.2380671 10.1109/TAC.1973.1100362 10.1109/TCYB.2019.2917179 10.1109/TIE.2009.2035462 10.1109/TCYB.2015.2487420 10.1016/j.automatica.2011.09.033 10.1109/JAS.2016.7373757 10.1016/j.ins.2018.05.019 10.1109/TMECH.2012.2185506 10.1016/j.automatica.2017.01.031 10.1109/TCYB.2018.2794523 10.1109/TAC.2017.2676986 10.1109/TCYB.2016.2582802 10.1016/j.sysconle.2015.03.007 10.1016/j.automatica.2015.11.001 10.1109/JPROC.2006.887325 10.1109/TCST.2011.2160543 10.1016/j.ins.2018.02.066 10.1109/TAC.2009.2020638 10.1109/TII.2018.2884494 10.1109/TCYB.2018.2807587 10.1109/TAC.2015.2416924 10.1109/TCYB.2018.2843358 10.1109/TPWRS.2016.2634122 10.1016/j.automatica.2019.108557 10.1109/TCYB.2018.2826016 10.1109/TAC.1987.1104648 10.1016/j.automatica.2018.01.026 |
| ContentType | Journal Article |
| Copyright | Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020 |
| Copyright_xml | – notice: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020 |
| DBID | 97E RIA RIE AAYXX CITATION NPM 7SC 7SP 7TB 8FD F28 FR3 H8D JQ2 L7M L~C L~D 7X8 |
| DOI | 10.1109/TCYB.2019.2956137 |
| DatabaseName | IEEE Xplore (IEEE) IEEE All-Society Periodicals Package (ASPP) 1998–Present IEEE Electronic Library (IEL) CrossRef PubMed Computer and Information Systems Abstracts Electronics & Communications Abstracts Mechanical & Transportation Engineering Abstracts Technology Research Database ANTE: Abstracts in New Technology & Engineering Engineering Research Database Aerospace Database ProQuest Computer Science Collection Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional MEDLINE - Academic |
| DatabaseTitle | CrossRef PubMed Aerospace Database Technology Research Database Computer and Information Systems Abstracts – Academic Mechanical & Transportation Engineering Abstracts Electronics & Communications Abstracts ProQuest Computer Science Collection Computer and Information Systems Abstracts Engineering Research Database Advanced Technologies Database with Aerospace ANTE: Abstracts in New Technology & Engineering Computer and Information Systems Abstracts Professional MEDLINE - Academic |
| DatabaseTitleList | PubMed MEDLINE - Academic Aerospace Database |
| Database_xml | – sequence: 1 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: RIE name: IEEE Electronic Library (IEL) url: https://proxy.k.utb.cz/login?url=https://ieeexplore.ieee.org/ sourceTypes: Publisher |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Sciences (General) |
| EISSN | 2168-2275 |
| EndPage | 3626 |
| ExternalDocumentID | 31841435 10_1109_TCYB_2019_2956137 8933052 |
| Genre | orig-research Journal Article |
| GrantInformation_xml | – fundername: Australian Research Council Discovery Project grantid: DP160103567 funderid: 10.13039/501100000923 – fundername: Program of Jiangsu Specially Appointed Professor grantid: RK043STP19001 – fundername: Fund of High-Level Talents at NJUPT grantid: XK0430919039 |
| GroupedDBID | 0R~ 4.4 6IK 97E AAJGR AARMG AASAJ AAWTH ABAZT ABQJQ ABVLG ACIWK AENEX AGQYO AGSQL AHBIQ AKJIK AKQYR ALMA_UNASSIGNED_HOLDINGS ATWAV BEFXN BFFAM BGNUA BKEBE BPEOZ EBS EJD HZ~ IFIPE IPLJI JAVBF M43 O9- OCL PQQKQ RIA RIE RNS AAYXX CITATION RIG NPM 7SC 7SP 7TB 8FD F28 FR3 H8D JQ2 L7M L~C L~D 7X8 |
| ID | FETCH-LOGICAL-c349t-63546243a25de7aef0ebce92997b1a0a9ccafa0c9370ec63c261dac73a22a9e23 |
| IEDL.DBID | RIE |
| ISSN | 2168-2267 2168-2275 |
| IngestDate | Thu Jul 10 23:57:44 EDT 2025 Sun Jun 29 16:09:55 EDT 2025 Thu Apr 03 06:59:10 EDT 2025 Thu Apr 24 23:03:48 EDT 2025 Tue Jul 01 00:53:54 EDT 2025 Wed Aug 27 02:35:32 EDT 2025 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 8 |
| Language | English |
| License | https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html https://doi.org/10.15223/policy-029 https://doi.org/10.15223/policy-037 |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c349t-63546243a25de7aef0ebce92997b1a0a9ccafa0c9370ec63c261dac73a22a9e23 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
| ORCID | 0000-0002-7207-0716 0000-0003-0180-0897 0000-0003-0691-5386 0000-0003-3555-1411 |
| PMID | 31841435 |
| PQID | 2424188884 |
| PQPubID | 85422 |
| PageCount | 11 |
| ParticipantIDs | ieee_primary_8933052 crossref_citationtrail_10_1109_TCYB_2019_2956137 proquest_miscellaneous_2327934997 proquest_journals_2424188884 crossref_primary_10_1109_TCYB_2019_2956137 pubmed_primary_31841435 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 2020-08-01 |
| PublicationDateYYYYMMDD | 2020-08-01 |
| PublicationDate_xml | – month: 08 year: 2020 text: 2020-08-01 day: 01 |
| PublicationDecade | 2020 |
| PublicationPlace | United States |
| PublicationPlace_xml | – name: United States – name: Piscataway |
| PublicationTitle | IEEE transactions on cybernetics |
| PublicationTitleAbbrev | TCYB |
| PublicationTitleAlternate | IEEE Trans Cybern |
| PublicationYear | 2020 |
| Publisher | IEEE The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher_xml | – name: IEEE – name: The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| References | ref35 ref13 ref34 ref12 ref37 ref15 ref36 ref14 ref31 ref30 ref33 ref11 ref10 ugrinovskii (ref32) 2014 ref2 ref1 tang (ref20) 2019; 49 ref39 ref38 ref16 shi (ref17) 2009; 54 zhang (ref18) 0 ref19 ding (ref29) 2017; 48 he (ref45) 2005; 52 ref24 ref23 ref26 ref25 ref42 ref41 ref22 ref44 ref21 ref43 ref28 ref27 ref8 ref7 ref9 ref4 ref3 ref6 ref5 ref40 |
| References_xml | – ident: ref27 doi: 10.1016/j.neucom.2017.10.009 – volume: 52 start-page: 380 year: 2005 ident: ref45 article-title: Improved bounded-real-lemma representation and $H_{\infty}$ control of systems with polytopic uncertainties publication-title: IEEE Trans Circuits Syst II Exp Briefs doi: 10.1109/TCSII.2005.850418 – ident: ref16 doi: 10.1016/j.automatica.2011.01.022 – ident: ref24 doi: 10.1109/TSMC.2019.2905253 – ident: ref42 doi: 10.1016/j.automatica.2017.04.051 – start-page: 3305 year: 2014 ident: ref32 article-title: Control over adversarial packetdropping communication networks revisited publication-title: Proc Amer Control Conf – ident: ref11 doi: 10.1016/j.jfranklin.2017.04.016 – ident: ref31 doi: 10.1002/bltj.20364 – ident: ref26 doi: 10.1109/TSMC.2013.2265083 – ident: ref35 doi: 10.1109/TAC.2017.2751999 – ident: ref2 doi: 10.1109/TAC.1978.1101704 – ident: ref22 doi: 10.1109/TIE.2016.2535119 – ident: ref28 doi: 10.1016/j.automatica.2016.12.026 – ident: ref5 doi: 10.1109/JAS.2019.1911651 – ident: ref41 doi: 10.1109/TCYB.2017.2776283 – ident: ref43 doi: 10.1002/rnc.3038 – ident: ref13 doi: 10.1109/TAC.2014.2380671 – ident: ref1 doi: 10.1109/TAC.1973.1100362 – ident: ref14 doi: 10.1109/TCYB.2019.2917179 – ident: ref4 doi: 10.1109/TIE.2009.2035462 – ident: ref12 doi: 10.1109/TCYB.2015.2487420 – ident: ref39 doi: 10.1016/j.automatica.2011.09.033 – ident: ref21 doi: 10.1109/JAS.2016.7373757 – ident: ref37 doi: 10.1016/j.ins.2018.05.019 – ident: ref7 doi: 10.1109/TMECH.2012.2185506 – ident: ref33 doi: 10.1016/j.automatica.2017.01.031 – volume: 49 start-page: 1186 year: 2019 ident: ref20 article-title: Tracking control of a class of cyber-physical systems via a FlexRay communication network publication-title: IEEE Trans Cybern doi: 10.1109/TCYB.2018.2794523 – ident: ref9 doi: 10.1109/TAC.2017.2676986 – volume: 48 start-page: 1936 year: 2017 ident: ref29 article-title: Observer-based event-triggering consensus control for multiagent systems with lossy sensors and cyber-attacks publication-title: IEEE Trans Cybern doi: 10.1109/TCYB.2016.2582802 – ident: ref40 doi: 10.1016/j.sysconle.2015.03.007 – ident: ref19 doi: 10.1016/j.automatica.2015.11.001 – ident: ref3 doi: 10.1109/JPROC.2006.887325 – ident: ref23 doi: 10.1109/TCST.2011.2160543 – ident: ref38 doi: 10.1016/j.ins.2018.02.066 – volume: 54 start-page: 1668 year: 2009 ident: ref17 article-title: Output feedback stabilization of networked control systems with random delays modeled by Markov chains publication-title: IEEE Trans Autom Control doi: 10.1109/TAC.2009.2020638 – ident: ref6 doi: 10.1109/TII.2018.2884494 – year: 0 ident: ref18 article-title: Network-based modeling and proportional-integral control for direct-drive-wheel systems in wireless network environments publication-title: IEEE Trans Cybern – ident: ref8 doi: 10.1109/TCYB.2018.2807587 – ident: ref34 doi: 10.1109/TAC.2015.2416924 – ident: ref30 doi: 10.1109/TCYB.2018.2843358 – ident: ref36 doi: 10.1109/TPWRS.2016.2634122 – ident: ref25 doi: 10.1016/j.automatica.2019.108557 – ident: ref15 doi: 10.1109/TCYB.2018.2826016 – ident: ref44 doi: 10.1109/TAC.1987.1104648 – ident: ref10 doi: 10.1016/j.automatica.2018.01.026 |
| SSID | ssj0000816898 |
| Score | 2.6428943 |
| Snippet | This article is concerned with designing resilient state feedback controllers for a class of networked control systems under denial-of-service (DoS) attacks.... |
| SourceID | proquest pubmed crossref ieee |
| SourceType | Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | 3616 |
| SubjectTerms | Bessel–Legendre inequality Closed loop systems Communication networks Control stability Control systems Denial of service attacks denial-of-service (DoS) attacks Denial-of-service attack Feedback control Linear matrix inequalities looped functional Mathematical analysis Microprocessors networked control systems (NCSs) Process control resilient control Sampled data systems Satellite control Signal processing Stability criteria State feedback Transmitters Upper bounds |
| Title | Resilient Control Design Based on a Sampled-Data Model for a Class of Networked Control Systems Under Denial-of-Service Attacks |
| URI | https://ieeexplore.ieee.org/document/8933052 https://www.ncbi.nlm.nih.gov/pubmed/31841435 https://www.proquest.com/docview/2424188884 https://www.proquest.com/docview/2327934997 |
| Volume | 50 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1LT9wwEB5RTlxaFvpYXjISh7aql6zt3eAjLCCEBIcWJHqKHGciIVYJYrMXLvx1ZhxvhCqKyClSbCfRjMff2DPzAeylvjwwRqPMy5QcFMyNtNZo8nn8eKTRGVPyie7F5fjs2pzfjG6W4FeXC4OIIfgMB3wbzvKL2s95q2yfqeGTERncD-S4tbla3X5KIJAI1LeKbiShijQeYg4Tu381-XvEcVx2oDiTk1nPXyxDgVfl_xAzLDWnn-Bi8ZFthMndYN7kA__4T_3G9_7FKnyMmFMctkrSgyWs1qAXZ_VMfI-lp3-sw9NvnN1OOUVSTNoYdnEcQjzEEa12hagr4cQfxxWFC3nsGieYS20qCPnSg0CwKepSXLax5dRhMUosjC4CzRKNWZHay7qU0VSJw6bhZP_PcH16cjU5k5GiQXptbCMJrpixMtqpUYGpwzLB3CNBLpvmQ5c4SwpSusQTCErQj7Unh61wPqUOyllU-gssV3WF30CQISFnFBVZFW0U9XPUjgyQd6p0Ok37kCwklvlYv5xpNKZZ8GMSm7GQMxZyFoXch59dl_u2eMdbjddZVl3DKKY-bC3UIovTe5ZxTs3wgC7Th93uMU1MPm1xFdZzaqMV2T5yKGnkr606dWOTITUMVDdef-cmrCh260Oc4RYsNw9z3Cbs0-Q7QemfAYcq_jc |
| linkProvider | IEEE |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1Rb9MwED5N4wFegDFgHQOMxAMg3KW208yPW8dUYO0D66TxFDnORZqokommL7zw17lz3AihgchTpNhOojufv7Pv7gN4nfnqyBiNsqgyclCwMNJao8nn8eNUozOm4hPd2Xw8vTSfrtKrLXjf58IgYgg-wyHfhrP8svFr3io7ZGr4JCWDe4fW_XTUZWv1OyqBQiKQ3yq6kYQrsniMOUrs4WLy9YQjuexQcS4n857_thAFZpW_g8yw2Jw9gNnmM7sYk2_DdVsM_Y8_Kjj-7388hPsRdYrjTk12YAvrR7AT5_VKvInFp9_uws8vuLpecpKkmHRR7OI0BHmIE1rvStHUwokLxzWFS3nqWieYTW0pCPvSg0CxKZpKzLvocuqwGSWWRheBaInGrEnxZVPJaKzEcdtyuv9juDz7sJhMZSRpkF4b20oCLGasjHYqLTFzWCVYeCTQZbNi5BJnSUUql3iCQQn6sfbkspXOZ9RBOYtKP4HtuqlxDwSZEnJHUZFd0UZRP0ftyAR5pyqns2wAyUZiuY8VzJlIY5kHTyaxOQs5ZyHnUcgDeNd3uenKd_yr8S7Lqm8YxTSAg41a5HGCr3LOqhkd0WUG8Kp_TFOTz1tcjc2a2mhF1o9cShr5aadO_dhkSg1D1f3b3_kS7k4Xs_P8_OP88zO4p9jJD1GHB7Ddfl_jc0JCbfEiTIBf7JQBjw |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Resilient+Control+Design+Based+on+a+Sampled-Data+Model+for+a+Class+of+Networked+Control+Systems+Under+Denial-of-Service+Attacks&rft.jtitle=IEEE+transactions+on+cybernetics&rft.au=Zhang%2C+Xian-Ming&rft.au=Han%2C+Qing-Long&rft.au=Ge%2C+Xiaohua&rft.au=Ding%2C+Lei&rft.date=2020-08-01&rft.eissn=2168-2275&rft_id=info:doi/10.1109%2FTCYB.2019.2956137&rft_id=info%3Apmid%2F31841435&rft.externalDocID=31841435 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2168-2267&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2168-2267&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2168-2267&client=summon |