Observer-Based Adaptive Fuzzy Tracking Control for Strict-Feedback Nonlinear Systems With Unknown Control Gain Functions
This article investigates the adaptive fuzzy output-feedback backstepping control design problem for uncertain strict-feedback nonlinear systems in the presence of unknown virtual and actual control gain functions and unmeasurable states. A fuzzy state observer is designed via fuzzy-logic systems, t...
Saved in:
| Published in | IEEE transactions on cybernetics Vol. 50; no. 9; pp. 3903 - 3913 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
IEEE
01.09.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects | |
| Online Access | Get full text |
Cover
Loading…
| Abstract | This article investigates the adaptive fuzzy output-feedback backstepping control design problem for uncertain strict-feedback nonlinear systems in the presence of unknown virtual and actual control gain functions and unmeasurable states. A fuzzy state observer is designed via fuzzy-logic systems, thus the unmeasurable states are estimated based on the designed fuzzy state observer. By constructing the logarithm Lyapunov functions and incorporating the property of the fuzzy basis functions and bounded control design technique into the adaptive backstepping recursive design, a novel observer-based adaptive fuzzy output-feedback control method is developed. The proposed fuzzy adaptive output-feedback backstepping control scheme can remove the restrictive assumptions in the previous literature that the virtual control gains and actual control gain functions must be constants. Furthermore, it can make the control system be semiglobally uniformly ultimately boundedness (SGUUB) and keep the observer and tracking errors to remain in a small neighborhood of the origin. The numerical simulation example is presented to validate the effectiveness of the proposed control scheme and theory. |
|---|---|
| AbstractList | This article investigates the adaptive fuzzy output-feedback backstepping control design problem for uncertain strict-feedback nonlinear systems in the presence of unknown virtual and actual control gain functions and unmeasurable states. A fuzzy state observer is designed via fuzzy-logic systems, thus the unmeasurable states are estimated based on the designed fuzzy state observer. By constructing the logarithm Lyapunov functions and incorporating the property of the fuzzy basis functions and bounded control design technique into the adaptive backstepping recursive design, a novel observer-based adaptive fuzzy output-feedback control method is developed. The proposed fuzzy adaptive output-feedback backstepping control scheme can remove the restrictive assumptions in the previous literature that the virtual control gains and actual control gain functions must be constants. Furthermore, it can make the control system be semiglobally uniformly ultimately boundedness (SGUUB) and keep the observer and tracking errors to remain in a small neighborhood of the origin. The numerical simulation example is presented to validate the effectiveness of the proposed control scheme and theory. This article investigates the adaptive fuzzy output-feedback backstepping control design problem for uncertain strict-feedback nonlinear systems in the presence of unknown virtual and actual control gain functions and unmeasurable states. A fuzzy state observer is designed via fuzzy-logic systems, thus the unmeasurable states are estimated based on the designed fuzzy state observer. By constructing the logarithm Lyapunov functions and incorporating the property of the fuzzy basis functions and bounded control design technique into the adaptive backstepping recursive design, a novel observer-based adaptive fuzzy output-feedback control method is developed. The proposed fuzzy adaptive output-feedback backstepping control scheme can remove the restrictive assumptions in the previous literature that the virtual control gains and actual control gain functions must be constants. Furthermore, it can make the control system be semiglobally uniformly ultimately boundedness (SGUUB) and keep the observer and tracking errors to remain in a small neighborhood of the origin. The numerical simulation example is presented to validate the effectiveness of the proposed control scheme and theory.This article investigates the adaptive fuzzy output-feedback backstepping control design problem for uncertain strict-feedback nonlinear systems in the presence of unknown virtual and actual control gain functions and unmeasurable states. A fuzzy state observer is designed via fuzzy-logic systems, thus the unmeasurable states are estimated based on the designed fuzzy state observer. By constructing the logarithm Lyapunov functions and incorporating the property of the fuzzy basis functions and bounded control design technique into the adaptive backstepping recursive design, a novel observer-based adaptive fuzzy output-feedback control method is developed. The proposed fuzzy adaptive output-feedback backstepping control scheme can remove the restrictive assumptions in the previous literature that the virtual control gains and actual control gain functions must be constants. Furthermore, it can make the control system be semiglobally uniformly ultimately boundedness (SGUUB) and keep the observer and tracking errors to remain in a small neighborhood of the origin. The numerical simulation example is presented to validate the effectiveness of the proposed control scheme and theory. |
| Author | Min, Xiao Li, Yuanxin Tong, Shaocheng |
| Author_xml | – sequence: 1 givenname: Shaocheng orcidid: 0000-0002-7366-7805 surname: Tong fullname: Tong, Shaocheng email: jztongsc@163.com organization: College of Science, Liaoning University of Technology, Jinzhou, China – sequence: 2 givenname: Xiao orcidid: 0000-0002-4690-7287 surname: Min fullname: Min, Xiao email: minxiao0420@163.com organization: College of Science, Liaoning University of Technology, Jinzhou, China – sequence: 3 givenname: Yuanxin orcidid: 0000-0003-4136-0961 surname: Li fullname: Li, Yuanxin email: yxinly@126.com organization: College of Science, Liaoning University of Technology, Jinzhou, China |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32191903$$D View this record in MEDLINE/PubMed |
| BookMark | eNp9kU9vEzEQxS1UREvpB0BIyBKXXjb4z653fWwjUpAqeiAV4rTy2mNwu7GD7S1NPz2OEnLoAV_G8vzeePTea3TkgweE3lIyo5TIj8v5j8sZI4zMmGxb2jYv0AmjoqsYa5ujw120x-gspTtSTleeZPcKHXNGJZWEn6DHmyFBfIBYXaoEBl8Ytc7uAfBienra4GVU-t75n3gefI5hxDZE_C1Hp3O1ADBDaeOvwY_OgyqdTcqwSvi7y7_wrb_34Y8_SK-U82Ws19kFn96gl1aNCc729RTdLj4t55-r65urL_OL60rzWuaq5ZbWTWcol4YJQ23bWNkIbRtRawMDGQYtBiWl5Va1ajBgqKiNHiQzoraEn6Lz3dx1DL8nSLlfuaRhHJWHMKWe8eIKqynrCvrhGXoXpujLdj2ruRCMSFoX6v2emoYVmH4d3UrFTf_P0wLQHaBjSCmCPSCU9Nvo-m10_Ta6fh9d0bTPNNpltTUqR-XG_yrf7ZQOAA4_SVITLhv-F8ndptM |
| CODEN | ITCEB8 |
| CitedBy_id | crossref_primary_10_1002_acs_3646 crossref_primary_10_1016_j_cnsns_2023_107719 crossref_primary_10_1109_TCYB_2024_3486934 crossref_primary_10_1007_s00034_020_01562_z crossref_primary_10_1109_TSMC_2021_3072650 crossref_primary_10_1007_s11071_023_08871_3 crossref_primary_10_1007_s12555_021_0921_3 crossref_primary_10_1109_TSMC_2023_3260004 crossref_primary_10_1016_j_isatra_2025_01_019 crossref_primary_10_1109_ACCESS_2020_3048178 crossref_primary_10_1109_JAS_2021_1003877 crossref_primary_10_1002_asjc_2767 crossref_primary_10_1016_j_jfranklin_2021_09_015 crossref_primary_10_1016_j_amc_2020_125506 crossref_primary_10_1016_j_neucom_2020_09_051 crossref_primary_10_1109_TSMC_2021_3129522 crossref_primary_10_1002_rnc_5922 crossref_primary_10_1080_00207179_2021_1964604 crossref_primary_10_1007_s40815_020_00961_3 crossref_primary_10_1080_00207721_2020_1852627 crossref_primary_10_1007_s11071_021_06971_6 crossref_primary_10_1002_acs_3772 crossref_primary_10_1016_j_oceaneng_2021_108817 crossref_primary_10_1109_TSMC_2021_3050993 crossref_primary_10_1080_00207721_2021_1979684 crossref_primary_10_1109_TCYB_2021_3069587 crossref_primary_10_1007_s11277_022_09875_9 crossref_primary_10_1002_acs_3306 crossref_primary_10_1007_s40815_020_00996_6 crossref_primary_10_1016_j_neucom_2020_10_034 crossref_primary_10_1109_TIE_2021_3139193 crossref_primary_10_1007_s10846_024_02218_9 crossref_primary_10_1109_ACCESS_2020_2998787 crossref_primary_10_1002_acs_3556 crossref_primary_10_1007_s11432_021_3386_2 crossref_primary_10_1016_j_amc_2022_127165 crossref_primary_10_1007_s40815_020_00962_2 crossref_primary_10_3390_act11120375 crossref_primary_10_1109_TFUZZ_2020_3022570 crossref_primary_10_1007_s00521_020_05622_y crossref_primary_10_1080_00207721_2020_1793232 crossref_primary_10_1109_TFUZZ_2020_2993696 crossref_primary_10_1109_TSMC_2023_3292287 crossref_primary_10_1109_TNNLS_2021_3072552 crossref_primary_10_1016_j_jfranklin_2021_09_027 crossref_primary_10_1109_TCYB_2021_3050510 crossref_primary_10_1109_TSMC_2021_3112191 crossref_primary_10_1016_j_jfranklin_2025_107631 crossref_primary_10_1002_acs_3447 crossref_primary_10_1016_j_neucom_2021_05_079 crossref_primary_10_1109_TCYB_2020_3025829 crossref_primary_10_3934_dcdss_2021168 crossref_primary_10_1002_acs_3687 crossref_primary_10_1109_TII_2021_3080841 crossref_primary_10_1177_01423312221148221 crossref_primary_10_1080_00207721_2022_2051768 crossref_primary_10_1109_ACCESS_2023_3335224 crossref_primary_10_1049_cth2_12138 crossref_primary_10_1109_TFUZZ_2021_3133903 crossref_primary_10_1049_cth2_12258 crossref_primary_10_1109_TCYB_2022_3165767 crossref_primary_10_12677_AAM_2023_1211462 crossref_primary_10_1002_acs_3214 crossref_primary_10_1002_acs_3335 crossref_primary_10_1002_acs_3575 crossref_primary_10_1007_s40815_022_01304_0 crossref_primary_10_1016_j_neucom_2021_12_091 crossref_primary_10_1177_00202940211021107 crossref_primary_10_1109_TSMC_2022_3224739 crossref_primary_10_1109_TCYB_2020_3043039 crossref_primary_10_1002_asjc_2797 crossref_primary_10_1109_TFUZZ_2022_3195609 crossref_primary_10_1007_s11424_022_1106_8 crossref_primary_10_1109_TCYB_2022_3219098 crossref_primary_10_1109_TFUZZ_2020_3031385 crossref_primary_10_1109_TCYB_2020_3008020 crossref_primary_10_1002_acs_3226 crossref_primary_10_1016_j_jfranklin_2022_02_003 crossref_primary_10_1109_TCSI_2021_3093326 crossref_primary_10_1109_TIV_2024_3358351 crossref_primary_10_3934_dcdss_2021144 crossref_primary_10_1016_j_amc_2022_127470 crossref_primary_10_1109_TSMC_2022_3166460 crossref_primary_10_1016_j_ins_2021_04_020 crossref_primary_10_1080_00207721_2020_1829741 crossref_primary_10_1109_TNNLS_2021_3104987 crossref_primary_10_1049_cth2_12279 crossref_primary_10_1016_j_asoc_2021_108142 crossref_primary_10_1016_j_isatra_2021_07_001 crossref_primary_10_1109_TFUZZ_2024_3468022 crossref_primary_10_1109_TSMC_2020_3011702 crossref_primary_10_1002_acs_3357 crossref_primary_10_1007_s11424_021_0150_0 crossref_primary_10_1016_j_isatra_2021_03_034 crossref_primary_10_1109_TCYB_2020_3042168 crossref_primary_10_1080_21642583_2020_1833786 crossref_primary_10_1080_21642583_2020_1833787 crossref_primary_10_1109_TFUZZ_2021_3075761 crossref_primary_10_1080_00207721_2020_1820624 crossref_primary_10_1002_acs_3249 crossref_primary_10_1002_rnc_5413 crossref_primary_10_3934_math_2021008 crossref_primary_10_1016_j_neunet_2021_06_011 crossref_primary_10_1109_TFUZZ_2022_3199573 crossref_primary_10_1002_acs_3487 crossref_primary_10_1007_s40815_020_00920_y crossref_primary_10_1016_j_isatra_2023_11_022 crossref_primary_10_1109_TCSII_2023_3252562 crossref_primary_10_1016_j_neucom_2021_01_008 crossref_primary_10_1002_rnc_5403 crossref_primary_10_1007_s11071_024_10043_w crossref_primary_10_1016_j_automatica_2021_109595 crossref_primary_10_3390_en16093795 crossref_primary_10_1109_TNNLS_2022_3141091 crossref_primary_10_1002_rnc_5530 crossref_primary_10_1016_j_ejcon_2023_100892 crossref_primary_10_1016_j_jfranklin_2021_07_020 crossref_primary_10_1016_j_neucom_2021_03_087 crossref_primary_10_1002_acs_3146 crossref_primary_10_1016_j_neucom_2020_04_096 crossref_primary_10_1007_s11071_021_06779_4 crossref_primary_10_1109_TCYB_2020_3046316 crossref_primary_10_1080_00207721_2021_1913663 crossref_primary_10_1109_TSMC_2022_3166930 crossref_primary_10_1002_rnc_6530 crossref_primary_10_1007_s11432_020_3111_4 crossref_primary_10_1016_j_jfranklin_2021_07_036 crossref_primary_10_1016_j_jfranklin_2021_07_034 crossref_primary_10_1109_TFUZZ_2022_3176681 crossref_primary_10_1080_00207721_2021_1925773 crossref_primary_10_1109_TCYB_2022_3178385 crossref_primary_10_1002_acs_3277 crossref_primary_10_1007_s11071_022_07913_6 crossref_primary_10_1109_TFUZZ_2021_3089047 crossref_primary_10_1038_s41598_022_05900_w crossref_primary_10_1016_j_ejcon_2023_100799 crossref_primary_10_1080_00207721_2024_2307954 crossref_primary_10_1002_rnc_5793 crossref_primary_10_1109_TFUZZ_2022_3154433 crossref_primary_10_1049_cth2_12107 crossref_primary_10_1109_TAI_2021_3107226 crossref_primary_10_1109_TCYB_2020_3034146 crossref_primary_10_1109_TSMC_2020_3020271 crossref_primary_10_1109_TCYB_2022_3188494 crossref_primary_10_1002_acs_3165 crossref_primary_10_1002_acs_3286 crossref_primary_10_1002_acs_3287 crossref_primary_10_1109_JESTPE_2021_3051689 crossref_primary_10_1002_acs_3284 crossref_primary_10_1002_acs_3285 crossref_primary_10_1016_j_ins_2021_02_078 crossref_primary_10_1002_acs_3283 crossref_primary_10_1109_TCYB_2021_3049786 crossref_primary_10_1080_21642583_2020_1834465 crossref_primary_10_1080_23307706_2021_1970035 crossref_primary_10_1109_TCYB_2020_3001581 crossref_primary_10_1109_TCYB_2021_3107357 crossref_primary_10_1080_21642583_2021_1934913 crossref_primary_10_1016_j_amc_2022_127186 crossref_primary_10_1109_TCYB_2020_3041923 crossref_primary_10_1109_TFUZZ_2022_3216983 crossref_primary_10_3389_fnbot_2022_789842 crossref_primary_10_1016_j_fss_2025_109321 crossref_primary_10_1002_acs_3177 crossref_primary_10_1007_s00500_023_07904_8 crossref_primary_10_1016_j_neucom_2023_126795 crossref_primary_10_1016_j_ins_2021_04_094 crossref_primary_10_1109_TFUZZ_2022_3227993 crossref_primary_10_1002_acs_3172 crossref_primary_10_1007_s00034_020_01473_z crossref_primary_10_1002_rnc_5637 crossref_primary_10_1109_TNNLS_2021_3112763 crossref_primary_10_1109_TMECH_2023_3244558 crossref_primary_10_1016_j_ins_2020_09_042 crossref_primary_10_1109_TCSII_2021_3107244 crossref_primary_10_1109_TFUZZ_2020_3048518 crossref_primary_10_1080_23307706_2021_1929526 crossref_primary_10_1109_TFUZZ_2022_3169852 crossref_primary_10_1016_j_jfranklin_2022_01_037 crossref_primary_10_1016_j_ejcon_2021_04_007 crossref_primary_10_1109_TFUZZ_2023_3299949 crossref_primary_10_1049_cth2_12311 crossref_primary_10_1016_j_jfranklin_2024_107302 crossref_primary_10_1002_rnc_5868 crossref_primary_10_1109_TFUZZ_2022_3153144 crossref_primary_10_1016_j_nahs_2020_100970 crossref_primary_10_1109_TNNLS_2022_3230508 crossref_primary_10_1007_s40815_021_01112_y crossref_primary_10_1080_00207179_2021_1957154 crossref_primary_10_1007_s40815_024_01678_3 crossref_primary_10_3934_math_2021046 crossref_primary_10_1016_j_neucom_2021_02_012 crossref_primary_10_1007_s00034_020_01627_z crossref_primary_10_1007_s40815_023_01604_z crossref_primary_10_1109_TITS_2021_3124635 crossref_primary_10_1109_ACCESS_2020_2991138 crossref_primary_10_1109_TFUZZ_2021_3057987 crossref_primary_10_1016_j_neunet_2021_12_006 crossref_primary_10_1109_TSMC_2024_3510589 crossref_primary_10_3934_math_20241258 crossref_primary_10_1016_j_jfranklin_2022_08_049 crossref_primary_10_1007_s12555_020_0892_9 crossref_primary_10_1109_TCYB_2022_3169142 crossref_primary_10_1007_s40815_024_01753_9 crossref_primary_10_1002_rnc_7684 crossref_primary_10_1109_TFUZZ_2023_3235417 crossref_primary_10_1007_s40815_021_01052_7 crossref_primary_10_1016_j_oceaneng_2023_114149 crossref_primary_10_1109_TCYB_2021_3107040 crossref_primary_10_1016_j_ins_2021_02_029 crossref_primary_10_1007_s00034_020_01490_y crossref_primary_10_1007_s40815_020_01000_x crossref_primary_10_1007_s40815_024_01862_5 crossref_primary_10_1016_j_ins_2021_02_021 crossref_primary_10_1080_00207179_2021_1989492 crossref_primary_10_1109_TFUZZ_2021_3122231 crossref_primary_10_1109_TCYB_2020_3002242 crossref_primary_10_1109_TSMC_2020_3013150 crossref_primary_10_1049_cth2_12723 crossref_primary_10_1109_TSMC_2024_3408652 crossref_primary_10_3934_era_2023014 crossref_primary_10_1007_s11424_022_1244_z crossref_primary_10_1007_s12555_020_0028_2 crossref_primary_10_1080_00207721_2020_1856446 crossref_primary_10_1109_JAS_2020_1003596 crossref_primary_10_1109_TFUZZ_2020_3005342 crossref_primary_10_3934_mbe_2023441 crossref_primary_10_1016_j_ins_2021_09_016 crossref_primary_10_1109_TFUZZ_2021_3070700 crossref_primary_10_1002_rnc_6258 crossref_primary_10_1177_01423312221110437 crossref_primary_10_1109_TCYB_2023_3253161 crossref_primary_10_1109_TNNLS_2021_3069817 crossref_primary_10_1002_rnc_6375 crossref_primary_10_1007_s40815_023_01527_9 crossref_primary_10_1016_j_fss_2023_108699 crossref_primary_10_3390_jsan11010012 crossref_primary_10_1177_09596518211013178 crossref_primary_10_1080_00207721_2020_1856450 crossref_primary_10_1109_JSYST_2021_3097503 crossref_primary_10_1109_TFUZZ_2023_3306728 crossref_primary_10_1109_TSMC_2023_3347525 crossref_primary_10_1109_JSYST_2021_3116035 crossref_primary_10_1080_00207721_2021_1925374 crossref_primary_10_1109_TCYB_2021_3063139 crossref_primary_10_1016_j_ymssp_2023_110555 crossref_primary_10_1109_TNNLS_2020_3027689 crossref_primary_10_1007_s12555_019_0986_4 crossref_primary_10_1109_TIE_2024_3379644 crossref_primary_10_1016_j_neucom_2022_02_078 crossref_primary_10_1007_s12555_020_0883_x crossref_primary_10_1080_21642583_2021_1891993 crossref_primary_10_1007_s12555_022_0758_4 crossref_primary_10_1109_TNNLS_2022_3143901 crossref_primary_10_1016_j_eswa_2024_124623 crossref_primary_10_1007_s12555_021_0084_7 crossref_primary_10_1109_TNNLS_2021_3054579 crossref_primary_10_1016_j_amc_2021_126520 crossref_primary_10_1109_TFUZZ_2020_3028645 crossref_primary_10_1109_TSMC_2022_3151669 crossref_primary_10_1109_TNNLS_2020_3027339 crossref_primary_10_1016_j_cnsns_2025_108612 crossref_primary_10_1109_TII_2021_3093115 crossref_primary_10_1109_TNNLS_2020_3027335 crossref_primary_10_1007_s11424_022_1111_y crossref_primary_10_3390_en17205146 crossref_primary_10_1002_rnc_6555 crossref_primary_10_1109_TSMC_2021_3096033 crossref_primary_10_1109_TFUZZ_2024_3418343 crossref_primary_10_1007_s00521_022_07865_3 crossref_primary_10_1109_ACCESS_2021_3119611 crossref_primary_10_1109_ACCESS_2024_3518477 crossref_primary_10_1109_TFUZZ_2024_3452278 crossref_primary_10_1109_TSMC_2023_3280569 crossref_primary_10_1109_TCYB_2020_3042613 crossref_primary_10_1109_TCYB_2021_3104806 crossref_primary_10_1109_TFUZZ_2020_3028657 crossref_primary_10_1109_TFUZZ_2022_3164536 crossref_primary_10_1080_00207179_2021_1886327 crossref_primary_10_1016_j_jfranklin_2021_06_018 crossref_primary_10_3390_math8081341 crossref_primary_10_1109_JAS_2021_1004018 crossref_primary_10_1109_TAI_2024_3418938 crossref_primary_10_1109_JSYST_2022_3148416 crossref_primary_10_1109_TFUZZ_2022_3145809 crossref_primary_10_1002_rnc_5116 crossref_primary_10_3390_fractalfract7120862 crossref_primary_10_1109_TCYB_2021_3063225 crossref_primary_10_1007_s11633_021_1280_5 crossref_primary_10_1109_TCYB_2020_3037150 crossref_primary_10_1109_TNNLS_2022_3151625 crossref_primary_10_1109_TPEL_2022_3211412 crossref_primary_10_1007_s11071_023_08604_6 crossref_primary_10_1109_TFUZZ_2020_2999746 crossref_primary_10_1007_s00521_021_05833_x crossref_primary_10_3390_sym16070857 crossref_primary_10_1016_j_ins_2024_120266 crossref_primary_10_1002_rnc_5366 crossref_primary_10_1002_rnc_6453 crossref_primary_10_1080_00207179_2021_1913515 crossref_primary_10_1155_2020_2486210 crossref_primary_10_1109_TNNLS_2021_3051030 crossref_primary_10_1109_TNNLS_2021_3084295 crossref_primary_10_3934_math_20241008 crossref_primary_10_1016_j_neucom_2021_01_069 crossref_primary_10_1109_JAS_2017_7510886 crossref_primary_10_1109_TFUZZ_2024_3441008 crossref_primary_10_3389_fphy_2023_1169012 crossref_primary_10_1007_s40815_021_01164_0 crossref_primary_10_1109_TCYB_2021_3051366 crossref_primary_10_1109_TNNLS_2021_3087796 crossref_primary_10_1016_j_oceaneng_2021_109211 crossref_primary_10_1080_00207721_2021_1882614 crossref_primary_10_1002_rnc_7893 crossref_primary_10_1080_00207721_2021_1998720 crossref_primary_10_1109_TNNLS_2022_3158085 crossref_primary_10_1016_j_sysconle_2022_105208 crossref_primary_10_1109_ACCESS_2024_3503907 crossref_primary_10_1080_00207721_2021_1922953 crossref_primary_10_1109_TSMC_2020_2997703 crossref_primary_10_1016_j_amc_2024_129152 crossref_primary_10_1016_j_ins_2022_09_034 crossref_primary_10_1007_s00521_023_08896_0 crossref_primary_10_1016_j_nahs_2020_101007 crossref_primary_10_1109_TNNLS_2021_3137883 crossref_primary_10_1109_TCYB_2021_3121069 crossref_primary_10_1109_TCYB_2021_3116950 crossref_primary_10_1109_TNNLS_2021_3120999 crossref_primary_10_1109_JSYST_2021_3112293 crossref_primary_10_1080_00207179_2020_1869308 crossref_primary_10_1016_j_jfranklin_2024_107190 crossref_primary_10_1109_TNNLS_2021_3105006 crossref_primary_10_1016_j_isatra_2021_03_014 crossref_primary_10_3390_math10122102 crossref_primary_10_1007_s11071_022_08216_6 crossref_primary_10_1109_TCYB_2020_2997943 crossref_primary_10_1109_JSYST_2021_3127579 crossref_primary_10_1109_JAS_2023_123045 crossref_primary_10_1109_TFUZZ_2021_3078820 crossref_primary_10_1109_TFUZZ_2022_3157038 crossref_primary_10_1109_TNNLS_2021_3082984 crossref_primary_10_1007_s13042_021_01392_8 crossref_primary_10_1109_TSMC_2020_2996635 crossref_primary_10_1007_s12555_020_0629_9 crossref_primary_10_1109_ACCESS_2020_2987135 crossref_primary_10_1016_j_oceaneng_2023_114194 crossref_primary_10_1007_s11431_022_2126_7 crossref_primary_10_1016_j_engappai_2024_108453 crossref_primary_10_1109_TCYB_2021_3091531 crossref_primary_10_1016_j_ins_2021_12_060 crossref_primary_10_1109_TCYB_2021_3129925 crossref_primary_10_3390_jmse10091291 crossref_primary_10_1109_TFUZZ_2020_3032776 crossref_primary_10_1002_oca_2899 crossref_primary_10_1109_TNNLS_2020_3010333 crossref_primary_10_1109_TCYB_2021_3056990 crossref_primary_10_1109_TCYB_2020_2985221 crossref_primary_10_1109_TFUZZ_2021_3075490 crossref_primary_10_1109_TSMC_2022_3159547 crossref_primary_10_1109_TCYB_2020_3018695 crossref_primary_10_1002_acs_3962 crossref_primary_10_1007_s40815_020_00880_3 crossref_primary_10_1109_TCSI_2022_3149290 crossref_primary_10_1007_s40815_020_01032_3 crossref_primary_10_1007_s11071_020_05693_5 crossref_primary_10_1002_asjc_2601 crossref_primary_10_1109_TFUZZ_2020_2986705 crossref_primary_10_1109_TSMC_2022_3170573 crossref_primary_10_1016_j_oceaneng_2024_117313 crossref_primary_10_1109_TIE_2020_3020010 crossref_primary_10_1109_TCYB_2022_3169290 crossref_primary_10_1109_TFUZZ_2020_3005350 crossref_primary_10_1007_s11071_024_09876_2 crossref_primary_10_1109_TNNLS_2021_3105681 crossref_primary_10_1016_j_ins_2020_12_092 crossref_primary_10_1109_TCYB_2020_3021982 crossref_primary_10_1109_TFUZZ_2022_3200730 crossref_primary_10_1109_TNNLS_2021_3107623 crossref_primary_10_1109_TCYB_2022_3182137 crossref_primary_10_1109_TCYB_2020_3044883 crossref_primary_10_1177_10775463241273046 crossref_primary_10_1109_TSMC_2022_3146011 crossref_primary_10_1007_s11071_024_09293_5 crossref_primary_10_1109_TASE_2024_3453926 crossref_primary_10_1109_TCYB_2021_3137346 crossref_primary_10_1007_s11424_023_2167_z crossref_primary_10_1016_j_cnsns_2024_107851 crossref_primary_10_1177_10775463221106022 crossref_primary_10_1016_j_chaos_2024_115891 crossref_primary_10_1109_TIV_2023_3263843 crossref_primary_10_1109_TNNLS_2022_3141419 crossref_primary_10_1002_acs_3514 crossref_primary_10_1016_j_jfranklin_2021_04_041 crossref_primary_10_1007_s40815_023_01598_8 crossref_primary_10_1109_TITS_2021_3114284 crossref_primary_10_1007_s12555_020_0245_8 crossref_primary_10_3390_e23091152 crossref_primary_10_1109_TITS_2021_3054177 crossref_primary_10_1109_TFUZZ_2023_3256441 crossref_primary_10_1016_j_conengprac_2020_104675 crossref_primary_10_1016_j_jfranklin_2022_05_020 crossref_primary_10_1016_j_ins_2021_07_056 crossref_primary_10_1109_TNNLS_2021_3107600 crossref_primary_10_1016_j_neucom_2020_12_050 crossref_primary_10_1080_00207721_2021_1909775 crossref_primary_10_1016_j_fss_2021_08_005 crossref_primary_10_1016_j_jfranklin_2021_03_016 crossref_primary_10_1109_JAS_2022_105413 crossref_primary_10_1007_s40815_020_00893_y |
| Cites_doi | 10.1109/72.977306 10.1109/91.227383 10.1109/TFUZZ.2016.2540058 10.1109/TFUZZ.2019.2902105 10.1109/TFUZZ.2013.2241770 10.1109/TFUZZ.2017.2735944 10.1109/TFUZZ.2011.2158652 10.1109/9.481517 10.1016/j.fss.2008.09.004 10.1016/S0005-1098(00)00116-3 10.1016/S0020-0255(99)00128-0 10.1016/j.automatica.2009.02.025 10.1109/TNNLS.2017.2760903 10.1016/j.fss.2004.05.008 10.1016/j.automatica.2013.02.013 10.1109/TNNLS.2015.2412121 10.1109/TFUZZ.2004.839663 10.1109/TCYB.2016.2645763 10.1109/TFUZZ.2012.2190048 10.1109/TFUZZ.2012.2236097 10.1109/TAC.2005.861704 10.1109/TNN.2011.2159865 10.1109/TAC.2005.864204 10.1109/TNN.2004.839354 10.1109/TFUZZ.2016.2516587 10.1109/TFUZZ.2017.2774185 10.1016/j.fss.2009.09.012 |
| 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.2020.2977175 |
| DatabaseName | IEEE All-Society Periodicals Package (ASPP) 2005–Present 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/IET Electronic Library url: https://proxy.k.utb.cz/login?url=https://ieeexplore.ieee.org/ sourceTypes: Publisher |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Sciences (General) |
| EISSN | 2168-2275 |
| EndPage | 3913 |
| ExternalDocumentID | 32191903 10_1109_TCYB_2020_2977175 9040395 |
| Genre | orig-research Journal Article |
| GrantInformation_xml | – fundername: National Natural Science Foundation of China grantid: 61773188; 61973146 funderid: 10.13039/501100001809 |
| 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-73f1458d139d26d1f75f956cf564cdeb0bbc6ba99f3fa7abded164dcb92d64f03 |
| IEDL.DBID | RIE |
| ISSN | 2168-2267 2168-2275 |
| IngestDate | Thu Jul 10 22:23:03 EDT 2025 Sun Jun 29 13:14:19 EDT 2025 Thu Jan 02 22:58:26 EST 2025 Tue Jul 01 00:53:55 EDT 2025 Thu Apr 24 23:08:01 EDT 2025 Wed Aug 27 02:31:23 EDT 2025 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 9 |
| 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-73f1458d139d26d1f75f956cf564cdeb0bbc6ba99f3fa7abded164dcb92d64f03 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
| ORCID | 0000-0002-4690-7287 0000-0002-7366-7805 0000-0003-4136-0961 |
| PMID | 32191903 |
| PQID | 2436620914 |
| PQPubID | 85422 |
| PageCount | 11 |
| ParticipantIDs | crossref_citationtrail_10_1109_TCYB_2020_2977175 proquest_journals_2436620914 pubmed_primary_32191903 crossref_primary_10_1109_TCYB_2020_2977175 proquest_miscellaneous_2381624128 ieee_primary_9040395 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 2020-09-01 |
| PublicationDateYYYYMMDD | 2020-09-01 |
| PublicationDate_xml | – month: 09 year: 2020 text: 2020-09-01 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 | ref12 ref15 ref14 ref11 ref10 tong (ref13) 2009; 160 liu (ref9) 2011; 22 ref2 ref1 ref17 ref16 ref19 ref18 ref24 ref23 ref26 ref25 ref20 ref22 ref21 ref28 ref27 ref8 ref7 ref4 ref3 ref6 ref5 |
| References_xml | – ident: ref7 doi: 10.1109/72.977306 – ident: ref22 doi: 10.1109/91.227383 – ident: ref16 doi: 10.1109/TFUZZ.2016.2540058 – ident: ref28 doi: 10.1109/TFUZZ.2019.2902105 – ident: ref17 doi: 10.1109/TFUZZ.2013.2241770 – ident: ref21 doi: 10.1109/TFUZZ.2017.2735944 – ident: ref11 doi: 10.1109/TFUZZ.2011.2158652 – ident: ref27 doi: 10.1109/9.481517 – volume: 160 start-page: 2755 year: 2009 ident: ref13 article-title: Fuzzy adaptive observer backstepping control for MIMO nonlinear systems publication-title: Fuzzy Sets Syst doi: 10.1016/j.fss.2008.09.004 – ident: ref4 doi: 10.1016/S0005-1098(00)00116-3 – ident: ref12 doi: 10.1016/j.fss.2008.09.004 – ident: ref8 doi: 10.1016/S0020-0255(99)00128-0 – ident: ref2 doi: 10.1016/j.automatica.2009.02.025 – ident: ref15 doi: 10.1109/TNNLS.2017.2760903 – ident: ref5 doi: 10.1016/j.fss.2004.05.008 – ident: ref25 doi: 10.1016/j.automatica.2013.02.013 – ident: ref10 doi: 10.1109/TNNLS.2015.2412121 – ident: ref1 doi: 10.1109/TFUZZ.2004.839663 – ident: ref26 doi: 10.1109/TCYB.2016.2645763 – ident: ref3 doi: 10.1109/TFUZZ.2012.2190048 – ident: ref18 doi: 10.1109/TFUZZ.2012.2236097 – ident: ref24 doi: 10.1109/TAC.2005.861704 – volume: 22 start-page: 1328 year: 2011 ident: ref9 article-title: Adaptive neural output feedback controller design with reduced-order observer for a class of uncertain nonlinear SISO systems publication-title: IEEE Trans Neural Netw doi: 10.1109/TNN.2011.2159865 – ident: ref23 doi: 10.1109/TAC.2005.864204 – ident: ref6 doi: 10.1109/TNN.2004.839354 – ident: ref19 doi: 10.1109/TFUZZ.2016.2516587 – ident: ref20 doi: 10.1109/TFUZZ.2017.2774185 – ident: ref14 doi: 10.1016/j.fss.2009.09.012 |
| SSID | ssj0000816898 |
| Score | 2.662143 |
| Snippet | This article investigates the adaptive fuzzy output-feedback backstepping control design problem for uncertain strict-feedback nonlinear systems in the... |
| SourceID | proquest pubmed crossref ieee |
| SourceType | Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | 3903 |
| SubjectTerms | Adaptive backstepping output-feedback controller design Adaptive control Adaptive systems Backstepping Basis functions Closed loop systems Computer simulation Control design Design Feedback control Fuzzy control Fuzzy logic Fuzzy systems fuzzy-logic systems (FLSs) Liapunov functions Nonlinear control Nonlinear systems Observers Output feedback Recursive methods state observer design State observers Tracking control Tracking errors uncertain nonlinear systems |
| Title | Observer-Based Adaptive Fuzzy Tracking Control for Strict-Feedback Nonlinear Systems With Unknown Control Gain Functions |
| URI | https://ieeexplore.ieee.org/document/9040395 https://www.ncbi.nlm.nih.gov/pubmed/32191903 https://www.proquest.com/docview/2436620914 https://www.proquest.com/docview/2381624128 |
| Volume | 50 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1Lb9QwEB61PXEBSnkECjISB0B469jOw8d2xVIhtRzoinKK_BQVKFt1Ewn21zOOsxFCgLhZ8iOJZibzzcMzAC-UznPlK0-lsSWVAUVRsVBQXYY6SC2qSkc_5Nl5ebqU7y-Lyx14M92F8d4PyWd-FodDLN-tbB9dZUcKOU6oYhd20XBLd7Umf8rQQGJofctxQBFVVGMQM2fq6GL--QSNQc5mHAFPHrMKf1FDQ1-Vv0PMQdUs7sDZ9iVThsnXWd-Zmd38Vr_xf7_iLtweMSc5TkyyDzu-vQf7o1Svycux9PSrA_j-wUQvrb-hJ6jdHDl2-jr-D8mi32x-EFRsNrrWyTwluBNEvORjrPHf0QWqQYPT5DwV39A4k6qhk09X3ReybKP7rp22vtNXLR7bDvcq1vdhuXh7MT-lY28GaoVUHa1EyGVROwSQjpcuD1UR0NSyoSildd4wg7Q3Wqkggq60cd6hYeasUdyVMjDxAPbaVesfAdGF4ZVhoc6DkbljuuLWoRnDnaqZZjwDtiVVY8fC5bF_xrdmMGCYaiJ1m0jdZqRuBq-nLdepase_Fh9EIk0LR_pkcLjlh2aU63XDpShLjhhLZvB8mkaJjGEW3fpVj2tiLBaBEa8zeJj4aDpboIJACCYe__mZT-BWfLOUw3YIe91N758i6OnMs4HbfwLxuP32 |
| linkProvider | IEEE |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1Lb9NAEB6VcoALUMrDUGCROADC6e56_dhjGxECNOFAIsrJ2qdaFTlVY0uQX8-s7VgIAeK20j5sa2Y83zx2BuCFVIxJl7tYaJPFwqMoSurTWGW-8EIlea6CH3I2z6ZL8eE0Pd2BN8NdGOdcm3zmRmHYxvLtyjTBVXYokeMSmV6D66j3U9bd1ho8Km0Libb5LcdBjLgi78OYjMrDxfjrMZqDnI44Qh4W8gp_UURtZ5W_g8xW2Uxuw2z7ml2OycWoqfXIbH6r4Pi_33EHbvWokxx1bLIHO666C3u9XK_Jy7749Kt9-P5JBz-tu4qPUb9ZcmTVZfgjkkmz2fwgqNpMcK6TcZfiThDzks-hyn8dT1ARapwm8678hsKZrh46-XJen5FlFRx41bD1nTqv8NiqvVmxvgfLydvFeBr33RlikwhZx3nimUgLixDS8swyn6cejS3j00wY6zTVSH2tpPSJV7nS1lk0zazRkttMeJrch91qVbmHQFSqea6pL5jXglmqcm4sGjLcyoIqyiOgW1KVpi9dHjpofCtbE4bKMlC3DNQte-pG8HrYctnV7fjX4v1ApGFhT58IDrb8UPaSvS65SLKMI8oSETwfplEmQ6BFVW7V4JoQjUVoxIsIHnR8NJydoIpAEJY8-vMzn8GN6WJ2Up68n398DDfDW3YZbQewW1817glCoFo_bTn_J1HkAU4 |
| 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=Observer-Based+Adaptive+Fuzzy+Tracking+Control+for+Strict-Feedback+Nonlinear+Systems+With+Unknown+Control+Gain+Functions&rft.jtitle=IEEE+transactions+on+cybernetics&rft.au=Tong%2C+Shaocheng&rft.au=Min%2C+Xiao&rft.au=Li%2C+Yuanxin&rft.date=2020-09-01&rft.issn=2168-2275&rft.eissn=2168-2275&rft.volume=50&rft.issue=9&rft.spage=3903&rft_id=info:doi/10.1109%2FTCYB.2020.2977175&rft.externalDBID=NO_FULL_TEXT |
| 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 |