[1] |
CHEN Z C, WANG J H, MA K M, et al. Novel fuzzy event-triggered adaptive control for nonlinear systems with input hysteresis[J]. Soft Computing, 2021, 25(8):6619-6631.
doi: 10.1007/s00500-021-05656-x
|
[2] |
于志亮, 刘杨, 王岩, 等. 基于改进PI模型的压电陶瓷迟滞特性补偿控制[J]. 仪器仪表学报, 2017, 38(1):129-135.
|
|
YU Zhiliang, LIU Yang, WANG Yan, et al. Hysteresis compensation and control of piezoelectric actuator based on an improved PI model[J]. Chinese Journal of Scientific Instrument, 2017, 38(1):129-135.
|
[3] |
黄堃锋, 洪嘉纯, 吴宇深, 等. 带有执行器失效的确定时间事件触发机制[J]. 华电技术, 2021, 43(10): 73-79.
|
|
HUANG Kunfeng, HONG Jiachun, WU Yushen, et al. Event-triggered mechanism with settling time for actuator failures[J]. Huadian Technology, 2021, 43(10): 73-79.
|
[4] |
LIU Z, LU K X, LAI G Y, et al. Indirect fuzzy control of nonlinear systems with unknown input and state hysteresis using an alternative adaptive inverse[J]. IEEE Transactions on Fuzzy Systems, 2021, 29(3):500-514.
doi: 10.1109/TFUZZ.2019.2952783
|
[5] |
CAI J P, XING L T, ZHANG M, et al. Adaptive neural network control for missile systems with unknown hysteresis input[J]. IEEE Access, 2017, 5(99):15839-15847.
doi: 10.1109/ACCESS.2017.2726186
|
[6] |
MOLIN A, HIRCHE S. Event-triggered state estimation:An iterative algorithm and optimality properties[J]. IEEE Transactions on Automatic Control, 2017, 62(11):5939-5946.
doi: 10.1109/TAC.2017.2701005
|
[7] |
XING L T, WEN C Y, LIU Z T, et al. Event-triggered adaptive control for a class of uncertain nonlinear systems[J]. IEEE Transactions on Automatic Control, 2017, 62(4):2071-2076.
doi: 10.1109/TAC.2016.2594204
|
[8] |
XING X Y, LIU J K. Event-triggered neural network control for a class of uncertain nonlinear systems with input quantization[J]. Neurocomputing, 2021, 440(10):240-250.
doi: 10.1016/j.neucom.2021.01.088
|
[9] |
WANG H, ZHU Q X. Finite-time stabilization of high-order stochastic nonlinear systems in strict-feedback form[J]. Automatica, 2015, 54:284-291.
doi: 10.1016/j.automatica.2015.02.016
|
[10] |
HUANG Y C, WANG J H, MA K M, et al. Novel fuzzy adaptive finite‐time nonsmooth control for uncertain nonlinear systems[J]. International Journal of Adaptive Control and Signal Processing, 2020, 34(9):1182-1198.
doi: 10.1002/acs.3147
|
[11] |
SHAN X B, SONG H N, CAO H, et al. A dynamic hysteresis model and nonlinear control system for a structure-integrated piezoelectric sensor-actuator[J]. Sensors, 2021, 21(1):269.
doi: 10.3390/s21010269
|
[12] |
UMEMOTO K, ENDO T, EGAMI T, et al. Stability analysis of a control system with nonlinear input uncertainty based on disturbance observer[J]. International Journal of Robust and Nonlinear Control, 2020, 30(11):4433-4448.
doi: 10.1002/rnc.4999
|
[13] |
LYU Z L, LIU Z, ZHANG Y, et al. Adaptive neural control for switched nonlinear systems with unmodeled dynamics and unknown output hysteresis[J]. Neurocomputing, 2019, 341(5):107-117.
doi: 10.1016/j.neucom.2019.02.057
|
[14] |
DENG H, KRSTIC M. Stochastic nonlinear stabilization-I:A backstepping design[J]. Systems and Control Letters, 1997, 32(3):143-150.
doi: 10.1016/S0167-6911(97)00068-6
|
[15] |
KOLOMVATSOS K, TRIVIZAKIS D, HADJIEFTHYMIADES S. An adaptive fuzzy logic system for automated negotiations[J]. Fuzzy Sets & Systems, 2015, 269(15):135-152.
|
[16] |
LV W S, WANG F, LI Y. Finite-time adaptive fuzzy output-feedback control of MIMO nonlinear systems with hysteresis[J]. Neurocomputing, 2018, 296:74-81.
doi: 10.1016/j.neucom.2018.03.025
|
[17] |
WU X R, HUANG Y Y. Adaptive fractional-order non-singular terminal sliding mode control based on fuzzy wavelet neural networks for omnidirectional mobile robot manipulator[J]. ISA Transactions, 2022, 121:258-267.
doi: 10.1016/j.isatra.2021.03.035
|