×
Kharrat, Mohamed

Neural networks-based adaptive fault-tolerant control for stochastic nonlinear systems with unknown backlash-like hysteresis and actuator faults. (English) Zbl 1542.93211

J. Appl. Math. Comput. 70, No. 3, 1995-2018 (2024).

MSC:

93C40 Adaptive control/observation systems
93E03 Stochastic systems in control theory (general)
93C10 Nonlinear systems in control theory
68T07 Artificial neural networks and deep learning

Keywords:

adaptive control; actuator faults; backlash-like hysteresis; neural networks; Lyapunov function; single-link manipulator
Cite Review PDF
Full Text: DOI

References:

[1] Chen, C., Asymptotic adaptive control of nonlinear systems with elimination of over parametrization in a Nussbaum-like design, Automatica, 98, 277-284, 2018 · Zbl 1406.93159
[2] Ma, H., Approximation-based Nussbaum gain adaptive control of nonlinear systems with periodic disturbances, IEEE Trans. Syst. Man Cybern. Syst., 52, 4, 2591-2600, 2021
[3] Jia, C., Adaptive control of nonlinear system using online error minimum neural networks, ISA Trans., 65, 125-132, 2016
[4] Zhang, H., An adaptive dynamic programming-based algorithm for infinite-horizon linear quadratic stochastic optimal control problems, J. Appl. Math. Comput., 69, 3, 2741-2760, 2023 · Zbl 1521.93211
[5] Zheng, X-Y, Adaptive neural control for non-strict feedback stochastic nonlinear systems with input delay, Trans. Inst. Meas. Control., 46, 1, 104-115, 2024
[6] Sui, S.; Philip Chen, CL; Tong, S., A novel adaptive NN prescribed performance control for stochastic nonlinear systems, IEEE Trans. Neural Netw. Learn. Syst., 32, 7, 3196-3205, 2020
[7] Niu, B., Adaptive control for stochastic switched nonlower triangular nonlinear systems and its application to a one-link manipulator, IEEE Trans. Syst. Man Cybern. Syst., 48, 10, 1701-1714, 2017
[8] Tong, S., Adaptive neural network output feedback control for stochastic nonlinear systems with unknown dead-zone and unmodeled dynamics, IEEE Trans. Cybern., 44, 6, 910-921, 2013
[9] Zha, W.; Zhai, J.; Fei, S., Global adaptive control for a class of uncertain stochastic nonlinear systems with unknown output gain, Int. J. Control Autom. Syst., 15, 1125-1133, 2017
[10] Gao, Q., Universal fuzzy integral sliding-mode controllers for stochastic nonlinear systems, IEEE Trans. Cybern., 44, 12, 2658-2669, 2014
[11] Al-Hadithi, BM; Jiménez, A.; López, RG, Fuzzy optimal control using generalized Takagi-Sugeno model for multivariable nonlinear systems, Appl. Soft Comput., 30, 205-213, 2015
[12] Min, H., Output-feedback control for stochastic nonlinear systems subject to input saturation and time-varying delay, IEEE Trans. Autom. Control, 64, 1, 359-364, 2018 · Zbl 1423.93401
[13] Wang, T.; Qiu, J.; Gao, H., Adaptive neural control of stochastic nonlinear time-delay systems with multiple constraints, IEEE Trans. Syst. Man Cybern. Syst., 47, 8, 1875-1883, 2016 · Zbl 1372.91067
[14] Wang, F., Distributed adaptive neural control for stochastic nonlinear multiagent systems, IEEE Trans. Cybern., 47, 7, 1795-1803, 2016 · Zbl 1354.37051
[15] Zhang, T.; Xia, X., Adaptive output feedback tracking control of stochastic nonlinear systems with dynamic uncertainties, Int. J. Robust Nonlinear Control, 25, 9, 1282-1300, 2015 · Zbl 1323.93069
[16] Xu, Y., Observer-based adaptive control for nonlinear strict-feedback stochastic systems with output constraints, Int. J. Robust Nonlinear Control, 29, 5, 1515-1536, 2019 · Zbl 1410.93141
[17] Wang, H., Robust adaptive fuzzy tracking control for pure-feedback stochastic nonlinear systems with input constraints, IEEE Trans. Cybern., 43, 6, 2093-2104, 2013
[18] Si, W.; Dong, X.; Yang, F., Adaptive neural prescribed performance control for a class of strict-feedback stochastic nonlinear systems under arbitrary switchings, Int. J. Syst. Sci., 48, 11, 2300-2310, 2017 · Zbl 1372.93186
[19] Ma, L.; Liu, L., Adaptive neural network control design for uncertain nonstrict feedback nonlinear system with state constraints, IEEE Trans. Syst. Man Cybern. Syst., 51, 6, 3678-3686, 2019
[20] Zouari, F., Adaptive neural output-feedback control for nonstrict-feedback time-delay fractional-order systems with output constraints and actuator nonlinearities, Neural Netw., 105, 256-276, 2018 · Zbl 1441.93158
[21] Zheng, X-Y, Adaptive neural control for non-strict feedback stochastic nonlinear systems with input delay, Trans. Inst. Meas. Control., 46, 1, 104-115, 2024
[22] Cui, M.; Tong, S., Predefined-time fuzzy adaptive output feedback control for non-strict feedback stochastic nonlinear systems with state constraints, Neural Comput. Appl., 36, 6, 3037-3048, 2024
[23] Wang, H., Neural-based adaptive output-feedback control for a class of nonstrict-feedback stochastic nonlinear systems, IEEE Trans. Cybern., 45, 9, 1977-1987, 2014
[24] Su, H.; Zhang, W., Adaptive fuzzy control of stochastic nonlinear systems with fuzzy dead zones and unmodeled dynamics, IEEE Trans. Cybern., 50, 2, 587-599, 2018
[25] Sui, S., Finite-time adaptive quantized control of stochastic nonlinear systems with input quantization: A broad learning system based identification method, IEEE Trans. Industr. Electron., 67, 10, 8555-8565, 2019
[26] Cao, Y., Neural networks-based adaptive tracking control for full-state constrained switched nonlinear systems with periodic disturbances and actuator saturation, Int. J. Syst. Sci., 54, 14, 2689-2704, 2023 · Zbl 1532.93153
[27] Wang, H.; Bai, W.; Liu, PX, Finite-time adaptive fault-tolerant control for nonlinear systems with multiple faults, IEEE/CAA J. Automatica Sinica, 6, 6, 1417-1427, 2019
[28] Zhang, J-X; Yang, G-H, Robust adaptive fault-tolerant control for a class of unknown nonlinear systems, IEEE Trans. Industr. Electron., 64, 1, 585-594, 2016
[29] Jin, X., Adaptive fault tolerant control for a class of input and state constrained MIMO nonlinear systems, Int. J. Robust Nonlinear Control, 26, 2, 286-302, 2016 · Zbl 1333.93141
[30] Li, Y-X; Wang, Q-Y; Tong, S., Fuzzy adaptive fault-tolerant control of fractional-order nonlinear systems, IEEE Trans. Syst. Man Cybern. Syst., 51, 3, 1372-1379, 2019
[31] Wei, M.; Li, Y-X; Tong, S., Adaptive fault-tolerant control for a class of fractional order non-strict feedback nonlinear systems, Int. J. Syst. Sci., 52, 5, 1014-1025, 2021 · Zbl 1483.93314
[32] Huang, S., et al.: Performance recovery-based fuzzy robust control of networked nonlinear systems against actuator fault: a deferred actuator-switching method. Fuzzy Sets Syst. pp. 108858 (2024)
[33] Hashemi, M.; Askari, J.; Ghaisari, J., Adaptive decentralised dynamic surface control for non-linear large-scale systems against actuator failures, IET Control Theory Appl., 10, 1, 44-57, 2016
[34] Chen, M.; Tao, G., Adaptive fault-tolerant control of uncertain nonlinear large-scale systems with unknown dead zone, IEEE Trans. Cybern., 46, 8, 1851-1862, 2015
[35] Su, H.; Zhang, W., Adaptive fuzzy tracking control for a class of nonstrict-feedback stochastic nonlinear systems with actuator faults, IEEE Trans. Syst. Man Cybern. Syst., 50, 9, 3456-3469, 2018
[36] Wang, H., Finite-time-prescribed performance-based adaptive fuzzy control for strict-feedback nonlinear systems with dynamic uncertainty and actuator faults, IEEE Trans. Cybern., 52, 7, 6959-6971, 2021
[37] Li, D., Fuzzy approximation-based adaptive control of nonlinear uncertain state constrained systems with time-varying delays, IEEE Trans. Fuzzy Syst., 28, 8, 1620-1630, 2019
[38] Tong, S., Adaptive neural network output feedback control for stochastic nonlinear systems with unknown dead-zone and unmodeled dynamics, IEEE Trans. Cybern., 44, 6, 910-921, 2013
[39] Li, Z.; Wang, F.; Zhu, R., Finite-time adaptive neural control of nonlinear systems with unknown output hysteresis, Appl. Math. Comput., 403, 2021 · Zbl 1510.93149
[40] Wang, H., Adaptive neural tracking control for a class of nonstrict-feedback stochastic nonlinear systems with unknown backlash-like hysteresis, IEEE Trans. Neural Netw. Learn. Syst., 25, 5, 947-958, 2013
[41] Zhang, X., Adaptive pseudo inverse control for a class of nonlinear asymmetric and saturated nonlinear hysteretic systems, IEEE/CAA J. Automatica Sinica, 8, 4, 916-928, 2020
[42] Fu, C., Neural network-based finite-time command filtering control for switched nonlinear systems with backlash-like hysteresis, IEEE Trans. Neural Netw. Learn. Syst., 32, 7, 3268-3273, 2020
[43] Zhu, J.; Li, S., Adaptive output dynamic feedback control for nonaffine pure-feedback time delay system with unknown backlash-like hysteresis, J. Franklin Inst., 361, 4, 2024 · Zbl 1533.93409
[44] Shen, F.; Wang, X.; Yin, X., Adaptive output-feedback control for a class of stochastic nonlinear systems with unknown control directions and hysteresis input, Int. J. Syst. Sci., 52, 3, 657-670, 2021 · Zbl 1483.93304
[45] Namadchian, Z.; Rouhani, M., Adaptive prescribed performance neural network control for switched stochastic pure-feedback systems with unknown hysteresis, Neurocomputing, 429, 151-165, 2021
[46] Wang, H., Adaptive neural sliding mode control with prescribed performance of robotic manipulators subject to backlash hysteresis, Proc. Inst. Mech. Eng. C J. Mech. Eng. Sci., 236, 3, 1826-1837, 2022
[47] Namadchian, Z.; Rouhani, M., Adaptive prescribed performance neural network control for switched stochastic pure-feedback systems with unknown hysteresis, Neurocomputing, 429, 151-165, 2021
[48] Wang, H., Adaptive neural tracking control for a class of nonstrict-feedback stochastic nonlinear systems with unknown backlash-like hysteresis, IEEE Trans. Neural Netw. Learn. Syst., 25, 5, 947-958, 2013
[49] Shen, F.; Wang, X.; Yin, X., Adaptive output-feedback control for a class of stochastic nonlinear systems with unknown control directions and hysteresis input, Int. J. Syst. Sci., 52, 3, 657-670, 2021 · Zbl 1483.93304
[50] Wang, F., Adaptive finite-time control of stochastic nonlinear systems with actuator failures, Fuzzy Sets Syst., 374, 170-183, 2019 · Zbl 1423.93370
[51] Su, W., Adaptive neural network asymptotic tracking control for a class of stochastic nonlinear systems with unknown control gains and full state constraints, Int. J. Adapt. Control Signal Process., 35, 10, 2007-2024, 2021 · Zbl 1543.93116
[52] Din, A., The stochastic bifurcation analysis and stochastic delayed optimal control for epidemic model with general incidence function, Chaos Interdiscipl. J. Nonlinear Sci., 31, 12, 2021 · Zbl 07868475
[53] Din, A., Impact of information intervention on stochastic hepatitis B model and its variable-order fractional network, Eur. Phys. J. Special Top., 231, 10, 1859-1873, 2022
[54] Din, A.; Li, Y.; Yusuf, A., Delayed hepatitis B epidemic model with stochastic analysis, Chaos Solitons Fractals, 146, 2021 · Zbl 1498.92206
[55] Din, A.; Li, Y., Stationary distribution extinction and optimal control for the stochastic hepatitis B epidemic model with partial immunity, Phys. Scr., 96, 7, 2021
[56] Khan, FM; Khan, ZU, Numerical analysis of fractional order drinking mathematical model, J. Math. Techniq. Model., 1, 1, 11-24, 2024
[57] Khan, WA, Navigating food allergy dynamics via a novel fractional mathematical model for antacid-induced allergies, J. Math. Tech. Model., 1, 1, 25-51, 2024
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.