Citations (21)
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Read on this site (6)
Yu-Qun Han. (2021) Adaptive tracking control of a class of nonlinear systems with unknown dead-zone output: a multi-dimensional Taylor network (MTN)-based approach. International Journal of Control 94:11, pages 3161-3170.
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Xuechao Qiu, Changchun Hua, Jiannan Chen, Yu Zhang & Xinping Guan. (2021) Event-triggered based adaptive neural network control of a robotic manipulator with output constraints and disturbance. International Journal of Systems Science 52:12, pages 2415-2426.
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Yu-Qun Han, Shan-Liang Zhu, De-Yu Duan, Lei Chu, Peng-Cheng Xiong & Shu-Guo Yang. (2021) Observer-based adaptive neural tracking control for a class of stochastic nonlinear systems. International Journal of Control 94:5, pages 1344-1354.
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Yu-Qun Han, Shan-Liang Zhu, Shu-Guo Yang & Lei Chu. (2021) Adaptive multi-dimensional Taylor network tracking control for a class of nonlinear systems. International Journal of Control 94:2, pages 277-285.
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Xiaofei Zhang, Hongbin Ma, Man Luo & Xiaomeng Liu. (2020) Adaptive sliding mode control with information concentration estimator for a robot arm. International Journal of Systems Science 51:2, pages 217-228.
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Yu-Qun Han, Shan-Liang Zhu, De-Yu Duan & Shu-Guo Yang. (2019) Adaptive neural output feedback tracking control for a class of nonlinear systems. International Journal of Systems Science 50:11, pages 2088-2101.
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Articles from other publishers (15)
Felipe Osorio-Arteaga, Nathalie Sanchez & Eduardo Giraldo. (2023) Robust Neural Network Multivariable Identification of a Twin Rotor MIMO System. Robust Neural Network Multivariable Identification of a Twin Rotor MIMO System.
Arun Bali, Uday Pratap Singh & Rahul Kumar. (2022) Multi-dimensional Taylor Network-Based Fault-Tolerant Control for Nonlinear Systems with Unmodeled Dynamics and Actuator Faults. Neural Processing Letters 55:4, pages 4047-4073.
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Hadi Azmi & Alireza Yazdizadeh. (2022) Robust adaptive fault detection and diagnosis observer design for a class of nonlinear systems with uncertainty and unknown time-varying internal delay. ISA Transactions 131, pages 31-42.
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Jianhui Wang, Hongkang Zhang, Kemao Ma, Zhi Liu & C. L. Philip Chen. (2022) Neural Adaptive Self-Triggered Control for Uncertain Nonlinear Systems With Input Hysteresis. IEEE Transactions on Neural Networks and Learning Systems 33:11, pages 6206-6214.
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Zheng-Duo Shan, Wen-Jing He, Yu-Qun Han & Shan-Liang Zhu. (2022) Adaptive Decentralized Tracking Control for a Class of Large-Scale Nonlinear Systems with Dynamic Uncertainties Using Multi-dimensional Taylor Network Approach. Neural Processing Letters.
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Wen‐Jing He, Yu‐Qun Han, Na Li & Shan‐Liang Zhu. (2021) Novel adaptive controller design for a class of switched nonlinear systems subject to input delay using multi‐dimensional Taylor network. International Journal of Adaptive Control and Signal Processing 36:3, pages 607-624.
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Yu-Qun Han, Wen-Jing He, Na Li & Shan-Liang Zhu. (2021) Adaptive Tracking Control of a Class of Nonlinear Systems with Input Delay and Dynamic Uncertainties Using Multi-dimensional Taylor Network. International Journal of Control, Automation and Systems 19:12, pages 4078-4089.
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Yu‐Qun Han, Na Li, Wen‐Jing He & Shan‐Liang Zhu. (2021) Adaptive multi‐dimensional Taylor network funnel control of a class of nonlinear systems with asymmetric input saturation. International Journal of Adaptive Control and Signal Processing 35:5, pages 713-726.
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Yu‐Qun Han. (2020) Adaptive tracking control for a class of stochastic non‐linear systems with input delay: a novel approach based on multi‐dimensional Taylor network. IET Control Theory & Applications 14:15, pages 2147-2153.
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Shan-Liang Zhu, De-Yu Duan, Lei Chu, Ming-Xin Wang, Yu-Qun Han & Peng-Cheng Xiong. (2020) Adaptive multi-dimensional Taylor network tracking control for a class of switched nonlinear systems with input nonlinearity. Transactions of the Institute of Measurement and Control 42:13, pages 2482-2491.
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Tien-Loc Le, Tuan-Tu Huynh, Sung-Kyung Hong & Chih-Min Lin. (2020) Hybrid Neural Network Cerebellar Model Articulation Controller Design for Non-linear Dynamic Time-Varying Plants. Frontiers in Neuroscience 14.
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Shanliang Zhu, Lei Chu, Mingxin Wang, Yuqun Han & Shuguo Yang. (2020) Multi-Dimensional Taylor Network-Based Adaptive Output-Feedback Tracking Control for a Class of Nonlinear Systems. IEEE Access 8, pages 77298-77307.
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Yu-Qun Han, Shan-Liang Zhu, De-Yu Duan, Lei Chu & Shu-Guo Yang. (2019) Adaptive decentralized tracking control of a class of large-scale nonlinear systems with unknown dead-zone inputs using neural network. Transactions of the Institute of Measurement and Control 41:16, pages 4499-4510.
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Tien-Loc Le, Tuan-Tu Huynh & Chih-Min Lin. (2019) Self-Evolving Interval Type-2 Wavelet Cerebellar Model Articulation Control Design for Uncertain Nonlinear Systems Using PSO. International Journal of Fuzzy Systems 21:8, pages 2524-2541.
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Yuqun Han, Shanliang Zhu & Shuguo Yang. (2018) Adaptive Multi-Dimensional Taylor Network Tracking Control for a Class of Stochastic Nonlinear Systems With Unknown Input Dead-Zone. IEEE Access 6, pages 34543-34554.
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