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Yuqun Han
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2020 – today
- 2024
- [j27]Li-Ting Lu, Shanliang Zhu, Dong-Mei Wang, Yu-Qun Han:
Distributed adaptive fault-tolerant control with prescribed performance for nonlinear multiagent systems. Commun. Nonlinear Sci. Numer. Simul. 138: 108222 (2024) - [j26]Ya-Feng Zhou, Shanliang Zhu, Wei Zhao, Yu-Qun Han:
Adaptive fixed-time tracking control for nonlinear systems subject to asymmetric input saturation. Eur. J. Control 79: 101091 (2024) - [j25]Na Li, Yu-Qun Han, Wen-Jing He, Shanliang Zhu:
A novel network-based controller design for a class of stochastic nonlinear systems with multiple faults and full state constraints. Int. J. Control 97(4): 651-661 (2024) - [j24]Yu-Qun Han, Na Li, Dong-Mei Wang, Ya-Feng Zhou, Shanliang Zhu:
Adaptive prescribed performance control for state constrained stochastic nonlinear systems with unknown control direction: a novel network-based approach. Neural Comput. Appl. 36(6): 2737-2748 (2024) - [j23]Wen-Jing He, Shanliang Zhu, Li-Ting Lu, Wei Zhao, Yu-Qun Han:
Adaptive Multi-Switching-Based Global Tracking Control for Switched Nonlinear Systems With Prescribed Performance. IEEE Trans Autom. Sci. Eng. 21(3): 3243-3252 (2024) - [j22]Yang Du, Shanliang Zhu, Yu-Qun Han:
Event-triggered adaptive multi-dimensional Taylor network tracking control for stochastic nonlinear systems. Trans. Inst. Meas. Control 46(1): 193-203 (2024) - [j21]Qian Li, Yu-Qun Han, Jianmin Xing:
Iteration learning control for 2D linear discrete systems with randomly varying trail lengths. Trans. Inst. Meas. Control 46(4): 638-648 (2024) - 2023
- [j20]Wen-Jing He, Shanliang Zhu, Na Li, Yu-Qun Han:
Tracking control for switched nonlinear systems subject to output hysteresis via adaptive multi-dimensional Taylor network approach. Int. J. Control 96(7): 1724-1735 (2023) - [j19]Zheng-Duo Shan, Wen-Jing He, Yu-Qun Han, Shanliang Zhu:
Adaptive Decentralized Tracking Control for a Class of Large-Scale Nonlinear Systems with Dynamic Uncertainties Using Multi-dimensional Taylor Network Approach. Neural Process. Lett. 55(3): 3509-3531 (2023) - [j18]Mingxin Wang, Shanliang Zhu, Si-Min Liu, Yang Du, Yu-Qun Han:
Design of Adaptive Finite-Time Fault-Tolerant Controller for Stochastic Nonlinear Systems With Multiple Faults. IEEE Trans Autom. Sci. Eng. 20(4): 2492-2502 (2023) - 2022
- [j17]Shanliang Zhu, Mingxin Wang, Yu-Qun Han:
Adaptive multi-dimensional Taylor network control for nonlinear stochastic systems with time-delay. J. Syst. Control. Eng. 236(3): 579-591 (2022) - [j16]Shanliang Zhu, Yu-Qun Han:
Adaptive decentralized prescribed performance control for a class of large-scale nonlinear systems subject to nonsymmetric input saturations. Neural Comput. Appl. 34(13): 11123-11140 (2022) - [j15]Shanliang Zhu, Mingxin Wang, Yu-Qun Han:
Adaptive finite-time control for stochastic nonlinear systems using multi-dimensional Taylor network. Trans. Inst. Meas. Control 44(2) (2022) - 2021
- [j14]Yu-Qun Han, Shanliang Zhu, Shuguo Yang, Lei Chu:
Adaptive multi-dimensional Taylor network tracking control for a class of nonlinear systems. Int. J. Control 94(2): 277-285 (2021) - [j13]Yu-Qun Han, Shanliang Zhu, De-Yu Duan, Lei Chu, PengCheng Xiong, Shuguo Yang:
Observer-based adaptive neural tracking control for a class of stochastic nonlinear systems. Int. J. Control 94(5): 1344-1354 (2021) - [j12]Yu-Qun Han:
Adaptive tracking control of a class of nonlinear systems with unknown dead-zone output: a multi-dimensional Taylor network (MTN)-based approach. Int. J. Control 94(11): 3161-3170 (2021) - [j11]Lei Chu, Yuqun Han, Shanliang Zhu, Mingxin Wang:
Multi-dimensional Taylor network-based adaptive control for nonlinear systems with unknown parameters. Trans. Inst. Meas. Control 43(3): 646-655 (2021) - 2020
- [j10]Shanliang Zhu, Lei Chu, Mingxin Wang, Yuqun Han, Shuguo Yang:
Multi-Dimensional Taylor Network-Based Adaptive Output-Feedback Tracking Control for a Class of Nonlinear Systems. IEEE Access 8: 77298-77307 (2020) - [j9]De-Yu Duan, Lei Chu, Yuqun Han:
Multi-Dimensional Taylor Network-Based Adaptive Funnel Tracking Control of a Class of Nonlinear Systems With Prescribed Performance. IEEE Access 8: 132265-132272 (2020) - [j8]Yuqun Han, Hong-Sen Yan:
Observer-based multi-dimensional Taylor network decentralised adaptive tracking control of large-scale stochastic nonlinear systems. Int. J. Control 93(7): 1605-1618 (2020) - [j7]Yu-Qun Han:
Adaptive output-feedback tracking control for a class of nonlinear systems with input saturation: a multi-dimensional Taylor network-based approach. Int. J. Syst. Sci. 51(13): 2471-2482 (2020) - [j6]Shanliang Zhu, De-Yu Duan, Lei Chu, Mingxin Wang, Yu-Qun Han, PengCheng Xiong:
Adaptive multi-dimensional Taylor network tracking control for a class of switched nonlinear systems with input nonlinearity. Trans. Inst. Meas. Control 42(13): 2482-2491 (2020)
2010 – 2019
- 2019
- [j5]Yuqun Han, Shanliang Zhu, De-Yu Duan, Shuguo Yang:
Adaptive neural output feedback tracking control for a class of nonlinear systems. Int. J. Syst. Sci. 50(11): 2088-2101 (2019) - [j4]Yu-Qun Han, Shanliang Zhu, De-Yu Duan, Lei Chu, Shuguo Yang:
Adaptive decentralized tracking control of a class of large-scale nonlinear systems with unknown dead-zone inputs using neural network. Trans. Inst. Meas. Control 41(16): 4499-4510 (2019) - 2018
- [j3]Yuqun Han, Shanliang Zhu, Shuguo Yang:
Adaptive Multi-Dimensional Taylor Network Tracking Control for a Class of Stochastic Nonlinear Systems With Unknown Input Dead-Zone. IEEE Access 6: 34543-34554 (2018) - [j2]Yu-Qun Han:
Adaptive tracking control of nonlinear systems with dynamic uncertainties using neural network. Int. J. Syst. Sci. 49(7): 1391-1402 (2018) - [j1]Hong-Sen Yan, Yu-Qun Han, Qi-Ming Sun:
Optimal output-feedback tracking of SISO stochastic nonlinear systems using multi-dimensional Taylor network. Trans. Inst. Meas. Control 40(10): 3049-3058 (2018)
Coauthor Index
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last updated on 2024-09-10 01:12 CEST by the dblp team
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