Fixed-time adaptive neural tracking control for a class of uncertain nonstrict nonlinear systems
This paper addresses the fixed-time adaptive neural control of nonstrict feedback nonlinear system. With the help of neural networks and the backstepping technical, a fixed-time adaptive neural control scheme is presented. To guarantee closed-loop stability, a new semiglobal practical fixed-time sta...
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| Published in | Neurocomputing (Amsterdam) Vol. 363; pp. 273 - 280 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier B.V
21.10.2019
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| Subjects | |
| Online Access | Get full text |
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| Abstract | This paper addresses the fixed-time adaptive neural control of nonstrict feedback nonlinear system. With the help of neural networks and the backstepping technical, a fixed-time adaptive neural control scheme is presented. To guarantee closed-loop stability, a new semiglobal practical fixed-time stability (SPFTS) criterion is set up. Based on the established SPFTS criterion, we can show that both the tracking performance and the closed-loop stability can be preserved in a fixed time via the presented approach. Compared with the existing finite-time control, the convergence time of the propose fixed-time control scheme does not rely on the initial states. Finally, the proposed technique is demonstrated with simulation results. |
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| AbstractList | This paper addresses the fixed-time adaptive neural control of nonstrict feedback nonlinear system. With the help of neural networks and the backstepping technical, a fixed-time adaptive neural control scheme is presented. To guarantee closed-loop stability, a new semiglobal practical fixed-time stability (SPFTS) criterion is set up. Based on the established SPFTS criterion, we can show that both the tracking performance and the closed-loop stability can be preserved in a fixed time via the presented approach. Compared with the existing finite-time control, the convergence time of the propose fixed-time control scheme does not rely on the initial states. Finally, the proposed technique is demonstrated with simulation results. |
| Author | Ba, Desheng Li, Yuan-Xin Tong, Shaocheng |
| Author_xml | – sequence: 1 givenname: Desheng surname: Ba fullname: Ba, Desheng email: 1259527221@qq.com organization: College of Science, Liaoning University of Technology, Jinzhou, Liaoning 121001, China – sequence: 2 givenname: Yuan-Xin orcidid: 0000-0003-4136-0961 surname: Li fullname: Li, Yuan-Xin email: yxinly@126.com, liyuanxin627@126.com organization: College of Science, Liaoning University of Technology, Jinzhou, Liaoning 121001, China – sequence: 3 givenname: Shaocheng surname: Tong fullname: Tong, Shaocheng email: jztsc@sohu.com organization: College of Science, Liaoning University of Technology, Jinzhou, Liaoning 121001, China |
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| Cites_doi | 10.1007/s11071-014-1834-y 10.1109/TSMC.2016.2605706 10.1109/TFUZZ.2016.2540058 10.1109/TFUZZ.2012.2190048 10.1109/TAC.2017.2729502 10.1109/TCYB.2014.2363073 10.1109/TCYB.2013.2286209 10.1002/asjc.916 10.1109/TFUZZ.2014.2310491 10.1109/TFUZZ.2011.2158652 10.1109/TNNLS.2017.2650238 10.1109/TAES.2016.140406 10.1016/j.automatica.2006.01.004 10.1109/TFUZZ.2014.2375917 10.1109/TCYB.2014.2383378 10.1016/j.automatica.2009.02.025 10.1109/TFUZZ.2017.2735944 10.1109/TNNLS.2016.2616906 10.1109/TNN.2004.839354 10.1016/S0005-1098(01)00254-0 10.1016/j.automatica.2004.11.036 10.1109/TCYB.2017.2667680 10.1109/TNNLS.2015.2412121 10.1109/TSMC.2016.2635678 10.1016/j.automatica.2015.10.034 10.1016/j.automatica.2017.12.020 10.1016/j.fss.2008.09.004 10.1109/TCYB.2015.2411285 10.1109/TFUZZ.2013.2280146 10.1109/TSMCB.2008.2005204 10.1016/S0005-1098(02)00034-1 10.1109/TFUZZ.2010.2046329 10.1109/TFUZZ.2017.2717804 10.1109/TAC.2011.2179869 10.1109/TFUZZ.2015.2452940 10.1109/TCYB.2017.2715980 10.1016/j.automatica.2019.01.013 10.1109/TAC.2006.875006 10.1109/9.668834 |
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| References | Li, Liu, Feng (bib0024) 2018; 89 Li, Yang (bib0043) 2014; 44 Zhou, Shi, Lu, Xu (bib0003) 2011; 19 Hong, Wang, Cheng (bib0032) 2006; 51 Zuo, Tian, Defoort, Ding (bib0041) 2018; 63 Wang, Liu, Liu, Karimi (bib0023) 2015; 23 Deng, Yang (bib0042) 2019; 103 Li, Tong (bib0015) 2014; 22 Wang, Huang (bib0006) 2005; 16 Li, Yang (bib0013) 2018; 26 Liu, Wang, Zhang (bib0034) 2015; 17 Sun, Chen, Lin, Wang (bib0037) 2018 Huang, Lin, Yang (bib0033) 2005; 41 Chen, Liu, Liu, Lin (bib0001) 2009; 45 Wang, Hill, Ge, Chen (bib0020) 2006; 42 Li, Yang (bib0012) 2018; 29 Li, Yang (bib0005) 2016; 24 Chen, Lin, Liu, Liu (bib0022) 2015; 45 Chen, Zhang, Lin (bib0025) 2016; 27 Li, Bai, Zhou, Lu, Wang (bib0027) 2017; 47 Liu, Wang, Zhang, Chen, Chen (bib0004) 2015; 23 Li, Bai, Wang, Zhou, Wang (bib0028) 2017; 47 Yang, Hua, Li, Guan (bib0040) 2018 Polyakov (bib0038) 2012; 57 Chen, Liu, Ge (bib0021) 2012; 20 Li, Yang (bib0030) 2018; 99 Liu, Tong (bib0016) 2016; 64 Wang, Wang (bib0017) 2015; 79 Chen, Wang, Liu, Lin (bib0035) 2018; 26 Wang, Chen, Lin, Zhang, Meng (bib0036) 2018; 48 Zhang, Wen, Zhu (bib0018) 2010; 18 Tong, Li (bib0002) 2009; 160 Bhat, Bernstein (bib0031) 1998; 43 Wang, Liu, Liu, Chen, Lin (bib0026) 2015; 45 Tong, Li, Sui (bib0029) 2016; 24 Jiang, Hu, Friswell (bib0039) 2016; 52 Chen, Shao, Jiang (bib0010) 2017; 47 Chen, Jiao, Li, Li (bib0007) 2010; 18 He, Chen, Yin (bib0008) 2016; 46 Wang, Huang (bib0019) 2002; 42 Hua, Wang, Guan (bib0009) 2009; 39 Ge, Wang (bib0014) 2002; 38 Li, Yang (bib0011) 2018; 29 Deng (10.1016/j.neucom.2019.06.063_bib0042) 2019; 103 Li (10.1016/j.neucom.2019.06.063_bib0012) 2018; 29 Chen (10.1016/j.neucom.2019.06.063_bib0007) 2010; 18 Wang (10.1016/j.neucom.2019.06.063_bib0026) 2015; 45 Li (10.1016/j.neucom.2019.06.063_bib0027) 2017; 47 Li (10.1016/j.neucom.2019.06.063_bib0005) 2016; 24 Liu (10.1016/j.neucom.2019.06.063_bib0034) 2015; 17 Polyakov (10.1016/j.neucom.2019.06.063_bib0038) 2012; 57 Li (10.1016/j.neucom.2019.06.063_bib0030) 2018; 99 Bhat (10.1016/j.neucom.2019.06.063_bib0031) 1998; 43 Li (10.1016/j.neucom.2019.06.063_bib0015) 2014; 22 Sun (10.1016/j.neucom.2019.06.063_bib0037) 2018 Wang (10.1016/j.neucom.2019.06.063_bib0017) 2015; 79 Tong (10.1016/j.neucom.2019.06.063_bib0002) 2009; 160 Chen (10.1016/j.neucom.2019.06.063_bib0035) 2018; 26 Hong (10.1016/j.neucom.2019.06.063_bib0032) 2006; 51 Li (10.1016/j.neucom.2019.06.063_bib0043) 2014; 44 Chen (10.1016/j.neucom.2019.06.063_bib0021) 2012; 20 Hua (10.1016/j.neucom.2019.06.063_bib0009) 2009; 39 Wang (10.1016/j.neucom.2019.06.063_bib0036) 2018; 48 Liu (10.1016/j.neucom.2019.06.063_bib0016) 2016; 64 Zhang (10.1016/j.neucom.2019.06.063_bib0018) 2010; 18 Chen (10.1016/j.neucom.2019.06.063_bib0001) 2009; 45 Tong (10.1016/j.neucom.2019.06.063_bib0029) 2016; 24 Li (10.1016/j.neucom.2019.06.063_bib0028) 2017; 47 He (10.1016/j.neucom.2019.06.063_bib0008) 2016; 46 Li (10.1016/j.neucom.2019.06.063_bib0011) 2018; 29 Wang (10.1016/j.neucom.2019.06.063_bib0006) 2005; 16 Wang (10.1016/j.neucom.2019.06.063_bib0019) 2002; 42 Wang (10.1016/j.neucom.2019.06.063_bib0023) 2015; 23 Wang (10.1016/j.neucom.2019.06.063_bib0020) 2006; 42 Jiang (10.1016/j.neucom.2019.06.063_bib0039) 2016; 52 Huang (10.1016/j.neucom.2019.06.063_bib0033) 2005; 41 Li (10.1016/j.neucom.2019.06.063_bib0024) 2018; 89 Zhou (10.1016/j.neucom.2019.06.063_bib0003) 2011; 19 Liu (10.1016/j.neucom.2019.06.063_bib0004) 2015; 23 Li (10.1016/j.neucom.2019.06.063_bib0013) 2018; 26 Chen (10.1016/j.neucom.2019.06.063_bib0022) 2015; 45 Yang (10.1016/j.neucom.2019.06.063_bib0040) 2018 Chen (10.1016/j.neucom.2019.06.063_bib0010) 2017; 47 Chen (10.1016/j.neucom.2019.06.063_bib0025) 2016; 27 Ge (10.1016/j.neucom.2019.06.063_bib0014) 2002; 38 Zuo (10.1016/j.neucom.2019.06.063_bib0041) 2018; 63 |
| References_xml | – volume: 42 start-page: 671 year: 2006 end-page: 684 ident: bib0020 article-title: An ISS-modular approach for adaptive neural control of pure-feedback systems publication-title: Automatica – volume: 38 start-page: 671 year: 2002 end-page: 682 ident: bib0014 article-title: Adaptive NN control of uncertain nonlinear pure-feedback systems publication-title: Automatica – volume: 19 start-page: 972 year: 2011 end-page: 982 ident: bib0003 article-title: Adaptive output-feedback fuzzy tracking control for a class of nonlinear systems publication-title: IEEE Trans. Fuzzy Syst. – volume: 39 start-page: 363 year: 2009 end-page: 374 ident: bib0009 article-title: Adaptive fuzzy output feedback controller design for nonlinear time-delay systems with unknown control direction publication-title: IEEE Trans. Syst., Man Cybern. B Cybern. – volume: 18 start-page: 1 year: 2010 end-page: 13 ident: bib0018 article-title: Adaptive fuzzy control of nonlinear systems in pure-feedback form based on input-to state stability publication-title: IEEE Trans. Fuzzy Syst. – volume: 79 start-page: 2589 year: 2015 end-page: 2608 ident: bib0017 article-title: Neural learning control of pure-feedback nonlinear systems publication-title: Nonlinear Dyn. – volume: 29 start-page: 1033 year: 2018 end-page: 1045 ident: bib0012 article-title: Model-based adaptive event-triggered control of strict-feedback nonlinear systems publication-title: IEEE Trans. Neural Netw. Learn. Syst. – volume: 160 start-page: 1749 year: 2009 end-page: 1764 ident: bib0002 article-title: Observer-based fuzzy adaptive control for strict-feedback nonlinear systems publication-title: Fuzzy Sets Syst. – volume: 45 start-page: 1977 year: 2015 end-page: 1987 ident: bib0026 article-title: Neuralbased adaptive output-feedback control for a class of nonstrict-feedback stochastic nonlinear systems publication-title: IEEE Trans. Cybern. – volume: 103 start-page: 62 year: 2019 end-page: 68 ident: bib0042 article-title: Distributed adaptive fault-tolerant control approach to cooperative output regulation for linear multi-agent systems publication-title: Automatica – volume: 23 start-page: 193 year: 2015 end-page: 204 ident: bib0004 article-title: Adaptive tracking control for a class of nonlinear systems with a fuzzy dead-zone input publication-title: IEEE Trans. Fuzzy Syst. – volume: 45 start-page: 1530 year: 2009 end-page: 1535 ident: bib0001 article-title: Direct adaptive fuzzy control of nonlinear strict-feedback systems publication-title: Automatica – volume: 52 start-page: 1576 year: 2016 end-page: 1586 ident: bib0039 article-title: Fixed-time rendezvous control of spacecraft with a tumbling target under loss of actuator effectiveness publication-title: IEEE Trans. Aerosp. Electron. Syst. – volume: 64 start-page: 70 year: 2016 end-page: 75 ident: bib0016 article-title: Barrier lyapunov functions-based adaptive control for a class of nonlinear pure-feedback systems with full state constraints publication-title: Automatica – volume: 20 start-page: 1012 year: 2012 end-page: 1021 ident: bib0021 article-title: Adaptive fuzzy control of a class of nonlinear systems by fuzzy approximation approach publication-title: IEEE Trans. Fuzzy Syst. – volume: 99 year: 2018 ident: bib0030 article-title: Graph-theory-based decentralized adaptive output-feedback control for a class of nonlinear interconnected systems publication-title: IEEE Trans. Cybern. – volume: 18 start-page: 674 year: 2010 end-page: 685 ident: bib0007 article-title: Adaptive backstepping fuzzy control for nonlinearly parameterized systems with periodic disturbances publication-title: IEEE Trans. Fuzzy Syst. – volume: 44 start-page: 1446 year: 2014 end-page: 1458 ident: bib0043 article-title: Fault detection in finite frequency domain for Takagi-Sugeno fuzzy systems with sensor faults publication-title: IEEE Trans. Cybern. – volume: 26 start-page: 1207 year: 2018 end-page: 1216 ident: bib0035 article-title: Finite-time adaptive fuzzy tracking control design for nonlinear systems publication-title: IEEE Trans. Fuzzy Syst. – volume: 43 start-page: 678 year: 1998 end-page: 682 ident: bib0031 article-title: Continuous finite-time stabilization of the translational and rotational double integrators publication-title: IEEE Trans. Autom. Control – volume: 17 start-page: 1081 year: 2015 end-page: 1087 ident: bib0034 article-title: Robust finite-time stability control of a class of high-order uncertain nonlinear systems publication-title: Asian J. Control – volume: 42 start-page: 1365 year: 2002 end-page: 1372 ident: bib0019 article-title: Adaptive neural network control of a class of uncertain nonlinear systems in pure-feedback form publication-title: Automatica – volume: 45 start-page: 2744 year: 2015 end-page: 2755 ident: bib0022 article-title: Adaptive fuzzy tracking control for a class of MIMO nonlinear systems in nonstrict-feedback form publication-title: IEEE Trans. Cybern. – volume: 51 start-page: 858 year: 2006 end-page: 862 ident: bib0032 article-title: Adaptive finite-time control of a class of uncertain nonlinear systems publication-title: IEEE Trans. Autom. Control – volume: 26 start-page: 1589 year: 2018 end-page: 1599 ident: bib0013 article-title: Observer-based fuzzy adaptive eventtriggered control codesign for a class of uncertain nonlinear systems publication-title: IEEE Trans. Fuzzy Syst. – volume: 27 start-page: 89 year: 2016 end-page: 98 ident: bib0025 article-title: Observer-based adaptive neural network control for nonlinear systems in nonstrict-feedback form publication-title: IEEE Trans. Neural Netw. Learn Syst. – volume: 63 start-page: 563 year: 2018 end-page: 570 ident: bib0041 article-title: Fixed-time consensus tracking for multiagent systems with high-order integrator dynamics publication-title: IEEE Trans. Autom. Control – volume: 24 start-page: 223 year: 2016 end-page: 234 ident: bib0005 article-title: Fuzzy adaptive output feedback fault-tolerant tracking control of a class of uncertain nonlinear systems with nonaffine nonlinear faults publication-title: IEEE Trans. Fuzzy Syst. – volume: 48 start-page: 1839 year: 2018 end-page: 1848 ident: bib0036 article-title: Adaptive neural network finite-time output feedback control of quantized nonlinear systems publication-title: IEEE Trans. Cybern. – start-page: 1 year: 2018 end-page: 20 ident: bib0040 article-title: Fixed-time backstepping control design for high-order strict-feedback nonlinear systems via terminal sliding mode publication-title: IET Control Theory Appl. – start-page: 1 year: 2018 end-page: 9 ident: bib0037 article-title: Finite-time adaptive control for a class of nonlinear systems with nonstrict feedback structure publication-title: IEEE Trans. Cybern. – volume: 16 start-page: 195 year: 2005 end-page: 202 ident: bib0006 article-title: Neural network-based adaptive dynamic surface control for a class of uncertain nonlinear systems in strict-feedback form publication-title: IEEE Trans. Neural Netw. – volume: 47 start-page: 2048 year: 2017 end-page: 2059 ident: bib0028 article-title: Adaptive neural control of uncertain nonstrict-feedback stochastic nonlinear systems with output constraint and unknown dead zone publication-title: IEEE Trans. Syst. Man Cybern. Syst. – volume: 23 start-page: 1746 year: 2015 end-page: 1760 ident: bib0023 article-title: Approximationbased adaptive fuzzy tracking control for a class of non-strict-feedback stochastic nonlinear time-delay systems publication-title: IEEE Trans. Fuzzy Syst. – volume: 47 start-page: 3110 year: 2017 end-page: 3123 ident: bib0010 article-title: Adaptive neural control of uncertain nonlinear systems using disturbance observer publication-title: IEEE Trans. Cybern. – volume: 46 start-page: 620 year: 2016 end-page: 629 ident: bib0008 article-title: Adaptive neural network control of an uncertain robot with full-state constraints publication-title: IEEE Trans. Cybern. – volume: 47 start-page: 2185 year: 2017 end-page: 2197 ident: bib0027 article-title: Adaptive fuzzy control of nonstrict-feedback stochastic nonlinear systems with input saturation publication-title: IEEE Trans. Syst., Man, Cybern., Syst. – volume: 41 start-page: 881 year: 2005 end-page: 888 ident: bib0033 article-title: Global finite-time stabilization of a class of uncertain nonlinear systems publication-title: Automatica – volume: 24 start-page: 1441 year: 2016 end-page: 1454 ident: bib0029 article-title: Adaptive fuzzy tracking control design for SISO uncertain nonstrict feedback nonlinear systems publication-title: IEEE Trans. Fuzzy Syst. – volume: 22 start-page: 1341 year: 2014 end-page: 1347 ident: bib0015 article-title: Adaptive fuzzy output-feedback control of pure-feedback uncertain nonlinear systems with unknown dead-zone publication-title: IEEE Trans. Fuzzy Syst. – volume: 57 start-page: 2106 year: 2012 end-page: 2110 ident: bib0038 article-title: Nonlinear feedback design for fixed-time stabilization of linear control systems publication-title: IEEE Trans. Autom. Control – volume: 89 start-page: 325 year: 2018 end-page: 332 ident: bib0024 article-title: Robust adaptive output feedback control to a class of non-triangular stochastic nonlinear systems publication-title: Automatica – volume: 29 start-page: 144 year: 2018 end-page: 155 ident: bib0011 article-title: Neural-network-based adaptive decentralized fault tolerant? control for a class of interconnected nonlinear systems publication-title: IEEE Trans. Neural Netw. Learn Syst. – volume: 79 start-page: 2589 issue: 4 year: 2015 ident: 10.1016/j.neucom.2019.06.063_bib0017 article-title: Neural learning control of pure-feedback nonlinear systems publication-title: Nonlinear Dyn. doi: 10.1007/s11071-014-1834-y – volume: 47 start-page: 2048 issue: 8 year: 2017 ident: 10.1016/j.neucom.2019.06.063_bib0028 article-title: Adaptive neural control of uncertain nonstrict-feedback stochastic nonlinear systems with output constraint and unknown dead zone publication-title: IEEE Trans. Syst. Man Cybern. Syst. doi: 10.1109/TSMC.2016.2605706 – volume: 24 start-page: 1441 issue: 6 year: 2016 ident: 10.1016/j.neucom.2019.06.063_bib0029 article-title: Adaptive fuzzy tracking control design for SISO uncertain nonstrict feedback nonlinear systems publication-title: IEEE Trans. Fuzzy Syst. doi: 10.1109/TFUZZ.2016.2540058 – volume: 20 start-page: 1012 issue: 6 year: 2012 ident: 10.1016/j.neucom.2019.06.063_bib0021 article-title: Adaptive fuzzy control of a class of nonlinear systems by fuzzy approximation approach publication-title: IEEE Trans. Fuzzy Syst. doi: 10.1109/TFUZZ.2012.2190048 – volume: 63 start-page: 563 issue: 2 year: 2018 ident: 10.1016/j.neucom.2019.06.063_bib0041 article-title: Fixed-time consensus tracking for multiagent systems with high-order integrator dynamics publication-title: IEEE Trans. Autom. Control doi: 10.1109/TAC.2017.2729502 – volume: 45 start-page: 1977 issue: 9 year: 2015 ident: 10.1016/j.neucom.2019.06.063_bib0026 article-title: Neuralbased adaptive output-feedback control for a class of nonstrict-feedback stochastic nonlinear systems publication-title: IEEE Trans. Cybern. doi: 10.1109/TCYB.2014.2363073 – volume: 44 start-page: 1446 issue: 8 year: 2014 ident: 10.1016/j.neucom.2019.06.063_bib0043 article-title: Fault detection in finite frequency domain for Takagi-Sugeno fuzzy systems with sensor faults publication-title: IEEE Trans. Cybern. doi: 10.1109/TCYB.2013.2286209 – volume: 17 start-page: 1081 issue: 3 year: 2015 ident: 10.1016/j.neucom.2019.06.063_bib0034 article-title: Robust finite-time stability control of a class of high-order uncertain nonlinear systems publication-title: Asian J. Control doi: 10.1002/asjc.916 – volume: 23 start-page: 193 issue: 1 year: 2015 ident: 10.1016/j.neucom.2019.06.063_bib0004 article-title: Adaptive tracking control for a class of nonlinear systems with a fuzzy dead-zone input publication-title: IEEE Trans. Fuzzy Syst. doi: 10.1109/TFUZZ.2014.2310491 – volume: 19 start-page: 972 issue: 5 year: 2011 ident: 10.1016/j.neucom.2019.06.063_bib0003 article-title: Adaptive output-feedback fuzzy tracking control for a class of nonlinear systems publication-title: IEEE Trans. Fuzzy Syst. doi: 10.1109/TFUZZ.2011.2158652 – volume: 29 start-page: 1033 issue: 4 year: 2018 ident: 10.1016/j.neucom.2019.06.063_bib0012 article-title: Model-based adaptive event-triggered control of strict-feedback nonlinear systems publication-title: IEEE Trans. Neural Netw. Learn. Syst. doi: 10.1109/TNNLS.2017.2650238 – volume: 52 start-page: 1576 issue: 4 year: 2016 ident: 10.1016/j.neucom.2019.06.063_bib0039 article-title: Fixed-time rendezvous control of spacecraft with a tumbling target under loss of actuator effectiveness publication-title: IEEE Trans. Aerosp. Electron. Syst. doi: 10.1109/TAES.2016.140406 – volume: 42 start-page: 671 issue: 5 year: 2006 ident: 10.1016/j.neucom.2019.06.063_bib0020 article-title: An ISS-modular approach for adaptive neural control of pure-feedback systems publication-title: Automatica doi: 10.1016/j.automatica.2006.01.004 – volume: 23 start-page: 1746 issue: 5 year: 2015 ident: 10.1016/j.neucom.2019.06.063_bib0023 article-title: Approximationbased adaptive fuzzy tracking control for a class of non-strict-feedback stochastic nonlinear time-delay systems publication-title: IEEE Trans. Fuzzy Syst. doi: 10.1109/TFUZZ.2014.2375917 – volume: 18 start-page: 1 issue: 2 year: 2010 ident: 10.1016/j.neucom.2019.06.063_bib0018 article-title: Adaptive fuzzy control of nonlinear systems in pure-feedback form based on input-to state stability publication-title: IEEE Trans. Fuzzy Syst. – volume: 45 start-page: 2744 issue: 12 year: 2015 ident: 10.1016/j.neucom.2019.06.063_bib0022 article-title: Adaptive fuzzy tracking control for a class of MIMO nonlinear systems in nonstrict-feedback form publication-title: IEEE Trans. Cybern. doi: 10.1109/TCYB.2014.2383378 – volume: 45 start-page: 1530 issue: 6 year: 2009 ident: 10.1016/j.neucom.2019.06.063_bib0001 article-title: Direct adaptive fuzzy control of nonlinear strict-feedback systems publication-title: Automatica doi: 10.1016/j.automatica.2009.02.025 – volume: 26 start-page: 1589 issue: 3 year: 2018 ident: 10.1016/j.neucom.2019.06.063_bib0013 article-title: Observer-based fuzzy adaptive eventtriggered control codesign for a class of uncertain nonlinear systems publication-title: IEEE Trans. Fuzzy Syst. doi: 10.1109/TFUZZ.2017.2735944 – volume: 29 start-page: 144 issue: 1 year: 2018 ident: 10.1016/j.neucom.2019.06.063_bib0011 article-title: Neural-network-based adaptive decentralized fault tolerant? control for a class of interconnected nonlinear systems publication-title: IEEE Trans. Neural Netw. Learn Syst. doi: 10.1109/TNNLS.2016.2616906 – start-page: 1 year: 2018 ident: 10.1016/j.neucom.2019.06.063_bib0037 article-title: Finite-time adaptive control for a class of nonlinear systems with nonstrict feedback structure publication-title: IEEE Trans. Cybern. – volume: 16 start-page: 195 issue: 1 year: 2005 ident: 10.1016/j.neucom.2019.06.063_bib0006 article-title: Neural network-based adaptive dynamic surface control for a class of uncertain nonlinear systems in strict-feedback form publication-title: IEEE Trans. Neural Netw. doi: 10.1109/TNN.2004.839354 – volume: 38 start-page: 671 issue: 4 year: 2002 ident: 10.1016/j.neucom.2019.06.063_bib0014 article-title: Adaptive NN control of uncertain nonlinear pure-feedback systems publication-title: Automatica doi: 10.1016/S0005-1098(01)00254-0 – volume: 99 issue: 1–10 year: 2018 ident: 10.1016/j.neucom.2019.06.063_bib0030 article-title: Graph-theory-based decentralized adaptive output-feedback control for a class of nonlinear interconnected systems publication-title: IEEE Trans. Cybern. – volume: 41 start-page: 881 issue: 5 year: 2005 ident: 10.1016/j.neucom.2019.06.063_bib0033 article-title: Global finite-time stabilization of a class of uncertain nonlinear systems publication-title: Automatica doi: 10.1016/j.automatica.2004.11.036 – volume: 47 start-page: 3110 issue: 10 year: 2017 ident: 10.1016/j.neucom.2019.06.063_bib0010 article-title: Adaptive neural control of uncertain nonlinear systems using disturbance observer publication-title: IEEE Trans. Cybern. doi: 10.1109/TCYB.2017.2667680 – volume: 27 start-page: 89 issue: 1 year: 2016 ident: 10.1016/j.neucom.2019.06.063_bib0025 article-title: Observer-based adaptive neural network control for nonlinear systems in nonstrict-feedback form publication-title: IEEE Trans. Neural Netw. Learn Syst. doi: 10.1109/TNNLS.2015.2412121 – start-page: 1 year: 2018 ident: 10.1016/j.neucom.2019.06.063_bib0040 article-title: Fixed-time backstepping control design for high-order strict-feedback nonlinear systems via terminal sliding mode publication-title: IET Control Theory Appl. – volume: 47 start-page: 2185 issue: 8 year: 2017 ident: 10.1016/j.neucom.2019.06.063_bib0027 article-title: Adaptive fuzzy control of nonstrict-feedback stochastic nonlinear systems with input saturation publication-title: IEEE Trans. Syst., Man, Cybern., Syst. doi: 10.1109/TSMC.2016.2635678 – volume: 64 start-page: 70 year: 2016 ident: 10.1016/j.neucom.2019.06.063_bib0016 article-title: Barrier lyapunov functions-based adaptive control for a class of nonlinear pure-feedback systems with full state constraints publication-title: Automatica doi: 10.1016/j.automatica.2015.10.034 – volume: 89 start-page: 325 year: 2018 ident: 10.1016/j.neucom.2019.06.063_bib0024 article-title: Robust adaptive output feedback control to a class of non-triangular stochastic nonlinear systems publication-title: Automatica doi: 10.1016/j.automatica.2017.12.020 – volume: 160 start-page: 1749 issue: 12 year: 2009 ident: 10.1016/j.neucom.2019.06.063_bib0002 article-title: Observer-based fuzzy adaptive control for strict-feedback nonlinear systems publication-title: Fuzzy Sets Syst. doi: 10.1016/j.fss.2008.09.004 – volume: 46 start-page: 620 issue: 3 year: 2016 ident: 10.1016/j.neucom.2019.06.063_bib0008 article-title: Adaptive neural network control of an uncertain robot with full-state constraints publication-title: IEEE Trans. Cybern. doi: 10.1109/TCYB.2015.2411285 – volume: 22 start-page: 1341 issue: 5 year: 2014 ident: 10.1016/j.neucom.2019.06.063_bib0015 article-title: Adaptive fuzzy output-feedback control of pure-feedback uncertain nonlinear systems with unknown dead-zone publication-title: IEEE Trans. Fuzzy Syst. doi: 10.1109/TFUZZ.2013.2280146 – volume: 39 start-page: 363 issue: 2 year: 2009 ident: 10.1016/j.neucom.2019.06.063_bib0009 article-title: Adaptive fuzzy output feedback controller design for nonlinear time-delay systems with unknown control direction publication-title: IEEE Trans. Syst., Man Cybern. B Cybern. doi: 10.1109/TSMCB.2008.2005204 – volume: 42 start-page: 1365 issue: 8 year: 2002 ident: 10.1016/j.neucom.2019.06.063_bib0019 article-title: Adaptive neural network control of a class of uncertain nonlinear systems in pure-feedback form publication-title: Automatica doi: 10.1016/S0005-1098(02)00034-1 – volume: 18 start-page: 674 issue: 4 year: 2010 ident: 10.1016/j.neucom.2019.06.063_bib0007 article-title: Adaptive backstepping fuzzy control for nonlinearly parameterized systems with periodic disturbances publication-title: IEEE Trans. Fuzzy Syst. doi: 10.1109/TFUZZ.2010.2046329 – volume: 26 start-page: 1207 issue: 3 year: 2018 ident: 10.1016/j.neucom.2019.06.063_bib0035 article-title: Finite-time adaptive fuzzy tracking control design for nonlinear systems publication-title: IEEE Trans. Fuzzy Syst. doi: 10.1109/TFUZZ.2017.2717804 – volume: 57 start-page: 2106 issue: 8 year: 2012 ident: 10.1016/j.neucom.2019.06.063_bib0038 article-title: Nonlinear feedback design for fixed-time stabilization of linear control systems publication-title: IEEE Trans. Autom. Control doi: 10.1109/TAC.2011.2179869 – volume: 24 start-page: 223 issue: 1 year: 2016 ident: 10.1016/j.neucom.2019.06.063_bib0005 article-title: Fuzzy adaptive output feedback fault-tolerant tracking control of a class of uncertain nonlinear systems with nonaffine nonlinear faults publication-title: IEEE Trans. Fuzzy Syst. doi: 10.1109/TFUZZ.2015.2452940 – volume: 48 start-page: 1839 issue: 6 year: 2018 ident: 10.1016/j.neucom.2019.06.063_bib0036 article-title: Adaptive neural network finite-time output feedback control of quantized nonlinear systems publication-title: IEEE Trans. Cybern. doi: 10.1109/TCYB.2017.2715980 – volume: 103 start-page: 62 year: 2019 ident: 10.1016/j.neucom.2019.06.063_bib0042 article-title: Distributed adaptive fault-tolerant control approach to cooperative output regulation for linear multi-agent systems publication-title: Automatica doi: 10.1016/j.automatica.2019.01.013 – volume: 51 start-page: 858 issue: 5 year: 2006 ident: 10.1016/j.neucom.2019.06.063_bib0032 article-title: Adaptive finite-time control of a class of uncertain nonlinear systems publication-title: IEEE Trans. Autom. Control doi: 10.1109/TAC.2006.875006 – volume: 43 start-page: 678 issue: 5 year: 1998 ident: 10.1016/j.neucom.2019.06.063_bib0031 article-title: Continuous finite-time stabilization of the translational and rotational double integrators publication-title: IEEE Trans. Autom. Control doi: 10.1109/9.668834 |
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| SubjectTerms | Adaptive control Backstepping Fixed-time control Neural networks Nonstrict feedback nonlinear systems |
| Title | Fixed-time adaptive neural tracking control for a class of uncertain nonstrict nonlinear systems |
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