Citation: Kunting Yu, Yongming Li. Adaptive fuzzy control for nonlinear systems with sampled data and time-varying input delay[J]. AIMS Mathematics, 2020, 5(3): 2307-2325. doi: 10.3934/math.2020153
[1] | T. Wang, Y. F. Zhang, J. B. Qiu, et al. Adaptive fuzzy backstepping control for a class of nonlinear systems with sampled and delayed measurements, IEEE T. Fuzzy Syst., 23 (2015), 302-312. doi: 10.1109/TFUZZ.2014.2312026 |
[2] | L. X. Wang, Adaptive Fuzzy Systems and Control: Design and Stability Analysis, Prentice-Hall, Englewood Cliffs, 1994. |
[3] | X. H. Su, Z. Liu, G. Y. Lai, et al. Event-triggered adaptive fuzzy control for uncertain strictfeedback nonlinear systems with guaranteed transient performance, IEEE T. Fuzzy Syst., 27 (2019), 2327-2337. doi: 10.1109/TFUZZ.2019.2898156 |
[4] | X. M. Zhang, X. K. Liu, Y. Li, Adaptive fuzzy tracking control for nonlinear strict-feedback systems with unmodeled dynamics via backstepping technique, Neurocomputing, IEEE T. Fuzzy Syst., 235 (2017), 182-191. |
[5] | D. Zhai, L. W. An, J. H. Li, Simplified filtering-based adaptive fuzzy dynamic surface control approach for non-linear strict-feedback systems, IET Control Theory A., 10 (2016), 493-503. doi: 10.1049/iet-cta.2015.0264 |
[6] | Y. M. Li, X. Min, S. C. Tong, Adaptive fuzzy inverse optimal control for uncertain strict-feedback nonlinear systems, IEEE T. Fuzzy Syst., (2016), In press. |
[7] | Q. Zhou, C. Wu, P. Shi, Observer-based adaptive fuzzy tracking control of nonlinear systems with time delay and input saturation, Fuzzy Set. Syst., 316 (2017), 49-68. doi: 10.1016/j.fss.2016.11.002 |
[8] | W. M. Chang, S. C. Tong, Y. M. Li, Adaptive fuzzy backstepping output constraint control of flexible manipulator with actuator saturation, Neur. Comput. Appl., 28 (2017), 1165-1175. doi: 10.1007/s00521-016-2425-2 |
[9] | B. Chen, X. P. Liu, S. C. Tong, et al. Observer and adaptive fuzzy control design for nonlinear strict-feedback systems with unknown virtual control coefficients, IEEE T. Fuzzy Syst., 26 (2018), 1732-1743. doi: 10.1109/TFUZZ.2017.2750619 |
[10] | Y. M. Li, S. C. Tong, T. S. Li, Hybrid fuzzy adaptive output feedback control design for uncertain MIMO nonlinear systems with time-varying delays and input saturation, IEEE T. Fuzzy Syst., 24 (2016), 841-853. doi: 10.1109/TFUZZ.2015.2486811 |
[11] | S. C. Tong, K. K. Sun, S. Sui, AObserver-based adaptive fuzzy decentralized optimal control design for strict-feedback nonlinear large-scale systems, IEEE T. Fuzzy Syst., 26 (2015), 569-584. |
[12] | H. Q. Wang, B. Chen, C. Lin, Approximation-based adaptive fuzzy control for a class of nonstrict-feedback stochastic nonlinear systems, Sci. China Inform. Sci., 57 (2014), 1-16. |
[13] | B. Yao, M. Tomizuka, Adaptive robust control of MIMO nonlinear systems in semi-strict feedback forms, Automatica, 37 (2001), 1305-1321. doi: 10.1016/S0005-1098(01)00082-6 |
[14] | B. Chen, X. P. Liu, S. Z. S. Ge, et al. Adaptive fuzzy control of a class of nonlinear systems by fuzzy approximation approach, IEEE T. Fuzzy Syst., 20 (2012), 1012-1021. doi: 10.1109/TFUZZ.2012.2190048 |
[15] | B. Chen, K. F. Liu, X. P. Liu, et al. Approximation-based adaptive neural control design for a class of nonlinear systems, IEEE T. Cybernetics, 44 (2014), 610-619. doi: 10.1109/TCYB.2013.2263131 |
[16] | B. Chen, Z. H. Guang, C. Lin, Observer-based adaptive neural network control for nonlinear systems in nonstrict-feedback form, IEEE T. Neur. Net. Lear., 27 (2016), 89-98. doi: 10.1109/TNNLS.2015.2412121 |
[17] | S. C. Tong, Y. M. Li, S. Sui, Adaptive fuzzy tracking control design for SISO uncertain nonstrict feedback nonlinear systems, IEEE T. Cybernetics, 24 (2016), 1141-1454. |
[18] | S. Yin, P. Shi, H. Y. Yang, Adaptive fuzzy control of strict-feedback nonlinear time-delay systems with unmodeled dynamics, IEEE T. Cybernetics, 46 (2016), 1926-1938. doi: 10.1109/TCYB.2015.2457894 |
[19] | J. Na, Y. B. Huang, X. Wu, et al. Adaptive finite-time fuzzy control of nonlinear active suspension systems with input delay, IEEE T. Cybernetics, (2019), In press. |
[20] | H. Y. Li, L. J. Wang, H. P. Du, et al. Adaptive fuzzy backstepping tracking control for strictfeedback systems with input delay, IEEE T. Fuzzy Syst., 25 (2017), 642-652. doi: 10.1109/TFUZZ.2016.2567457 |
[21] | B. Niu, L. Li, Adaptive backstepping-based neural tracking control for MIMO nonlinear switched systems subject to input delays, IEEE T. Neur. Net. Lear., 29 (2018), 2638-3644. doi: 10.1109/TNNLS.2017.2690465 |
[22] | Q. Zhou, C. W. Wu, X. J. Jing, et al. Adaptive fuzzy backstepping dynamic surface control for nonlinear input-delay systems, Neurocomputing, 199 (2016), 58-65. doi: 10.1016/j.neucom.2015.12.116 |
[23] | H. Y. Li, X. J. Sun, P. Shi, et al. Control design of interval type-2 fuzzy systems with actuator fault: sampled-data control approach, Inform. Sci., 302 (2015), 1-13. doi: 10.1016/j.ins.2015.01.008 |
[24] | M. S. Ali, N. Gunasekaran, Q. X. Zhu, State estimation of T-S fuzzy delayed neural networks with Markovian jumping parameters using sampled-data control, Fuzzy Set. Syst., 306 (2017), 87-104. doi: 10.1016/j.fss.2016.03.012 |
[25] | Y. J. Liu, B. Z. Guo, J. H. Park, et al. Nonfragile exponential synchronization of delayed complex dynamical networks with memory sampled-data control, IEEE T. Neur. Net. Lear., 29 (2018), 118-128. doi: 10.1109/TNNLS.2016.2614709 |
[26] | S. P. Xiao, H. H. Lian, K. Teo, et al. A new Lyapunov functional approach to sampled-data synchronization control for delayed neural networks, J. Franklin I., 335 (2018), 8857-8873. |
[27] | W. Y. Zhang, J. M. Li, K. Y. Xing, et al. Synchronization for distributed parameter NNs with mixed delays via sampled-data control, Neurocomping, 175 (2016), 265-277. doi: 10.1016/j.neucom.2015.10.057 |
[28] | J. Fu, T. F. Li, T. Y. Chai, et al. Sampled-data-based stabilization of switched linear neutral systems, Automatica, 72 (2016), 92-99. doi: 10.1016/j.automatica.2016.05.020 |
[29] | S. B. Ding, Z. S. Wang, N. N. Rong, et al. Exponential stabilization of memristive neural networks via saturating sampled-data control, IEEE T. Cybernetics, 47 (2017), 3027-3039. doi: 10.1109/TCYB.2017.2711496 |
[30] | S. Li, C. K. Ahn, Z. R. Xiang, Sampled-data adaptive output feedback fuzzy stabilization for switched nonlinear systems with asynchronous switching, IEEE T. Fuzzy Syst., 27 (2019), 200-205. doi: 10.1109/TFUZZ.2018.2881660 |
[31] | W. H. Liu, C. C. Lim, P. Shi, et al. Sampled-data fuzzy control for a class of nonlinear systems with missing data and disturbances, Fuzzy Set. Syst., 306 (2017), 63-86. doi: 10.1016/j.fss.2016.03.011 |
[32] | Z. H. Qu, Robust Control of Nonlinear Uncertain System, Wiley, New York, 1998. |
[33] | T. Wang, J. Wu, Y. J. Wang, et al. Adaptive fuzzy tracking control for a class of strict-feedback nonlinear systems with time-varying input delay and full state constrains, IEEE T. Fuzzy Syst., (2019), In press. |
[34] | X. D. Li, P. Li, Q. G. Wang, Input/output-to-state stability of impulsive switched systems, Syst. Control Lett., 116 (2018), 1-7. doi: 10.1016/j.sysconle.2018.04.001 |
[35] | X. Y. Zhang, X. D. Li, J. D. Cao, et al. Design of memory controllers for finite-time stabilization of delayed neural networks with uncertainty, J. Franklin I., 335 (2018), 5394-5413. |
[36] | I. Stamova, T. Stamov, X. D. Li, Global exponential stability of a class of impulsive cellular neural networks with supremums, Int. J. Adapt. Control., 28 (2014), 1227-1237. doi: 10.1002/acs.2440 |
[37] | X. Tan, J. Cao, X. D. Li, Leader-following mean square consensus of stochastic multi-agent systems with input delay via event-triggered control, IET Control Theory A., 12 (2017), 229-309. |