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Adaptive control for uncertain nonlinear systems with state-function constraints and input delay. (English) Zbl 07736224

Summary: The adaptive control problem is studied for nonlinear systems with asymmetric full state-function constraints, unknown control gains, input delay and external disturbances in this paper. Firstly, the effect of input time delay is removed by using Laplace transform and Pade approximation. Then, Nussbaum function and fuzzy logic system (FLS) are recommended to dispose unknown control gains and unknown nonlinear functions, respectively. By incorporating barrier Lyapunov function (BLF) into the backstepping idea, a new adaptive fuzzy controller is presented such that the tracking error finally fluctuates near the origin and all signals of the closed-loop system are bounded. Meanwhile, the asymmetric full state-function constraints do not violate. Ultimately, a numerical example is used to explain the feasibility of the devised control scheme.

MSC:

93C40 Adaptive control/observation systems
93C10 Nonlinear systems in control theory
93C42 Fuzzy control/observation systems
93C41 Control/observation systems with incomplete information
Full Text: DOI

References:

[1] Cui, G.; Jiao, T.; Wei, Y.; Song, G.; Chu, Y., Adaptive neural control of stochastic nonlinear systems with multiple time-varying delays and input saturation, Neural. Comput. Appl., 25, 779-791 (2014)
[2] Wang, A.; Liu, L.; Qiu, J.; Feng, G., Finite-time adaptive fuzzy control for nonstrict-feedback nonlinear systems via an event-triggered strategy, IEEE T. Fuzzy Syst., 28, 9, 2164-2174 (2020)
[3] Sun, W.; Diao, S.; Su, S.; Sun, Z., Fixed-time adaptive neural network control for nonlinear systems with input saturation, IEEE T. Neur. Net. Lear., 34, 4, 1911-1920 (2023)
[4] Sun, W.; Su, S.; Wu, Y.; Xia, J., Adaptive fuzzy event-triggered control for high-order nonlinear systems with prescribed performance, IEEE T. Cybernet., 52, 5, 2885-2895 (2022)
[5] Liu, Y.; Lu, S.; Tong, S., Neural network controller design for an uncertain robot with time-varying output constraint, IEEE T. Syst. Man. Cy. S., 47, 8, 2060-2068 (2017)
[6] Zhou, W.; Fu, J.; Yan, H.; Du, X.; Wang, Y.; Zhou, H., Event-triggered approximate optimal path-following control for unmanned surface vehicles with state constraints, IEEE T. Neur. Net. Lear., 34, 1, 104-118 (2023)
[7] He, W.; Chen, Y.; Yin, Z., Network control of an uncertain robot with full-state constraints, IEEE T. Cybernet., 46, 3, 620-629 (2016)
[8] Bai, R., Neural network control-based adaptive design for a class of DC motor systems with the full state constraints, Neurocomputing., 168, 65-69 (2015)
[9] Sun, L.; Huo, W.; Jiao, Z., Adaptive backstepping control of spacecraft rendezvous and proximity operations with input saturation and full-state constraint, IEEE T. Ind. Electron., 64, 1, 480-492 (2017)
[10] Gao, Z.; Guo, G., Adaptive heading tracking control of surface vehicles with unknown control directions and full state constraints, Neurocomputing, 359, 517-525 (2019)
[11] Guo, F.; Liu, Y.; Luo, F.; Wu, Y., Vibration suppression and output constraint of a variable length drilling riser system, J. Franklin I., 356, 1177-1195 (2019) · Zbl 1406.93141
[12] He, W.; Ge, S., Cooperative control of a nonuniform gantry crane with constrained tension, Automatica, 66, 146-154 (2016) · Zbl 1335.93012
[13] Edalati, L.; Sedigh, A. K.; Shooredeli, M. A.; Moarefianpour, A., Adaptive fuzzy dynamic surface control of nonlinear systems with input saturation and time-varying output constraints, Mech. Syst. Singal. Pr., 100, 311-329 (2018)
[14] Tee, K.; Ren, B.; Ge, S., Control of nonlinear systems with time-varying output constraints, Automatica, 47, 2511-2516 (2011) · Zbl 1228.93069
[15] Wu, J.; Sun, W.; Su, S.; Xia, J., Neural-based adaptive control for nonlinear systems with quantized input and the output constraint, Appl. Math. Comput., 413, 126637 (2022) · Zbl 1510.93161
[16] Zhang, T.; Xu, H.; Xia, X.; Yi, Y., Adaptive neural optimal control of uncertain nonlinear systems with output constraints, Neurocomputing, 406, 182-195 (2020)
[17] Li, Y.; Wu, L.; Hu, Y., Fault-tolerant control for nonlinear switched systems with unknown control coefficients and full-state constraints, Inform. Sci., 582, 750-766 (2022) · Zbl 1530.93084
[18] Min, H.; Xu, S.; Yu, X.; Fei, S.; Cui, G., Adaptive tracking control for stochastic nonlinear systems with full-state constraints and unknown covariance noise, Appl. Math. Comput., 385, 125397 (2020) · Zbl 1508.93336
[19] Liu, Y.; Li, J.; Tong, S.; Chen, C. P., Neural network control-based adaptive learning design for nonlinear systems with full-state constraints, IEEE T. Neur. Net. Lear., 27, 7, 1562-1571 (2016)
[20] Meng, W.; Yang, Q.; Si, J.; Sun, Y., Adaptive neural control of a class of output-constrained nonaffine systems, IEEE T. Cybernet., 46, 1, 85-95 (2016)
[21] Meng, W.; Yang, Q.; Sun, Y., Adaptive neural control of nonlinear MIMO systems with time-varying output constraints, IEEE T. Neur. Net. Lear., 26, 5, 1074-1085 (2015)
[22] Jin, X.; Li, Y., Adaptive fuzzy control of uncertain stochastic nonlinear systems with full state constraints, Inform. Sci., 574, 625-639 (2021) · Zbl 1530.93195
[23] Yu, Z.; Dong, Y.; Li, S.; Li, F., Adaptive tracking control for switched strict-feedback nonlinear systems with time-varying delays and asymmetric saturation actuators, Neurocomputing, 238, 245-254 (2017)
[24] Mehrkanoon, S.; Shardt, Y.; Suykens, J.; Ding, S., Estimating the unknown time delay in chemical processes, Eng. Appl. Artif. Intel., 55, 219-230 (2016)
[25] Delgado, E.; Cacho, M.; Bustelo, D.; Barreiro, A., Generic approach to stability under time-varying delay in teleoperation: application to the position-error control of a gantry crane, IEEE-ASME T. Mech., 18, 5, 1581-1591 (2013)
[26] Song, Y.; Zhou, S., Tracking control of uncertain nonlinear systems with deferred asymmetric time-varying full state constraints, Automatica, 98, 314-322 (2018) · Zbl 1406.93172
[27] Askari, M.; Shahrokhi, M.; Talkhoncheh, M.; Moradvandi, A., Observer-based adaptive fuzzy controller for uncertain non-strict state-delayed nonlinear systems subject to input and output constraints, J. Franklin I., 357, 7483-7514 (2020) · Zbl 1447.93161
[28] Jing, Y.; Yang, G., Neural-network-based adaptive fault-tolerant tracking control of uncertain nonlinear time-delay systems under output constraints and infinite number of actuator faults, Neurocomputing, 272, 343-355 (2018)
[29] Cao, B.; Nie, X.; Wu, Z.; Xue, C.; Cao, J., Adaptive neural network control for nonstrict-feedback uncertain nonlinear systems with input delay and asymmetric time-varying state constraints, J. Franklin I., 358, 7073-7095 (2021) · Zbl 1471.93151
[30] Si, W.; Dong, X., Adaptive neural control for nonstrict-feedback time-delay systems with input and output constraints, Int. J. Mach. Learn. Cyb., 9, 1533-1540 (2018)
[31] Si, W.; Dong, X.; Yang, F., Adaptive neural dynamic surface control for stochastic nonlinear time-delay systems with input and output constraints, Asian J. Control., 20, 2, 780-789 (2018) · Zbl 1390.93736
[32] Li, D.; Liu, Y.; Tong, S.; Chen, C.; Li, D., Neural networks-based adaptive control for nonlinear state constrained systems with input delay, IEEE T. Cybernet., 49, 4, 1249-1258 (2019)
[33] Wang, Y.; Zhang, J.; Zhang, H.; Xie, X., Finite-time adaptive neural control for nonstrict-feedback stochastic nonlinear systems with input delay and output constraints, Appl. Math. Comput., 393, 125756 (2021) · Zbl 1508.93179
[34] Wang, Y.; Zhang, J.; Zhang, H.; Xie, X., Adaptive fuzzy output-constrained control for nonlinear stochastic systems with input delay and unknown control coefficients, IEEE T. Cybernet., 51, 11, 5279-5290 (2021)
[35] Min, H.; Xu, S.; Li, Y.; Zhang, Z., Adaptive stabilization of uncertain nonlinear systems under output constraint, IEEE T. Syst. Man. Cy. S., 52, 6, 3957-3966 (2022)
[36] Li, D.; Li, D., Adaptive tracking control for nonlinear time-varying delay systems with full state constraints and unknown control coefficients, Automatica, 93, 444-453 (2018) · Zbl 1400.93140
[37] Y. Liu, W. Zhao, L. Liu, D. Li, S. Tong, C. Chen, Adaptive neural network control for a class of nonlinear systems with function constraints on states, IEEE T. Neur. Net. Lear. https://doi.org/10.1109/TNNLS.2021.3107600.
[38] Ye, X.; Jiang, J., Adaptive nonlinear design without a priori knowledge of control directions, IEEE T. Automat. Contr., 43, 11, 1617-1621 (1998) · Zbl 0957.93048
[39] Huang, J.; Wang, W.; Wen, C.; Zhou, J., Adaptive control of a class of strict-feedback time-varying nonlinear systems with unknown control coefficients, Automatica, 93, 98-105 (2018) · Zbl 1400.93139
[40] Chen, Z., Nussbaum functions in adaptive control with time-varying unknown control coefficients, Automatica, 102, 72-79 (2019) · Zbl 1415.93140
[41] Ge, S.; Wang, J., Robust adaptive tracking for time-varying uncertain nonlinear systems with unknown control coefficients, IEEE T. Automat. Contr., 48, 8, 1463-1469 (2003) · Zbl 1364.93704
[42] Zhang, Z.; Song, Y.; Wen, C., Adaptive decentralized output-feedback control dealing with static/dynamic interactions and different-unknown subsystem control directions, IEEE T. Automat. Contr., 66, 8, 3818-3824 (2021) · Zbl 1471.93012
[43] Li, T.; Wang, D.; Feng, G.; Tong, S., A DSC approach to robust adaptive NN tracking control for strict-feedback nonlinear systems, IEEE T. Syst. Man. Cy. B., 40, 3, 915-927 (2010)
[44] Ren, B.; Ge, S.; Tee, K.; Lee, T., Adaptive neural control for output feedback nonlinear systems using a barrier lyapunov function, IEEE T. Neural Netw., 21, 8, 1339-1345 (2010)
[45] Li, Y.; Tong, S.; Li, T., Composite adaptive fuzzy output feedback control design for uncertain nonlinear strict-feedback systems with input saturation, IEEE T. Cybernet., 45, 10, 2299-2308 (2015)
[46] Khanesar, M.; Kaynak, O.; Yin, S.; Gao, H., Adaptive indirect fuzzy sliding mode controller for networked control systems subject to time-varying network-induced time delay, IEEE T. Fuzzy Syst., 23, 1, 205-214 (2015)
[47] D. Li, H. Han, J. Qiao, Adaptive NN controller of nonlinear state-dependent constrained systems with unknown control direction, IEEE T. Neur. Net. Lear. https://doi.org/10.1109/TNNLS.2022.3177839.
[48] Yu, T.; Liu, Y.; Liu, L.; Tong, S., Adaptive fuzzy control of nonlinear systems with function constraints based on time-varying IBLFs, IEEE T. Fuzzy Syst., 30, 11, 4939-4952 (2022)
[49] T. Gao, T. Li, Y. Liu, S. Tong, F. Sun, Observer-based adaptive fuzzy control of non-strict feedback nonlinear systems with function constraints, IEEE T. Fuzzy Syst. https://doi.org/10.1109/TFUZZ.2022.3228319.
[50] Zhou, S., Tracking control of uncertain robotic systems with function constraints on states, CCC 2022., 593-598 (2022)
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