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2020 – today
- 2024
[j8]Jiao-Jun Zhang
, Yong-Hua Zhou, Qi-Ming Sun:
Finite-Time Adaptive Neural Prescribed Performance Control for High-Order Nonlinearly Parameterized Switched Systems With Unmodeled Dynamics and Input Quantization. IEEE Access 12: 4618-4630 (2024)- [j7]Hong-Sen Yan, Guo-Biao Wang, Bo Zhou, Xiao-Qin Wan, Jiao-Jun Zhang:
Data-Driven Forecasting of Nonlinear System with Herding via Multi-Dimensional Taylor Network. Cybern. Syst. 55(4): 981-1004 (2024) - 2023
- [j6]Hong-Sen Yan, Zhong-Tian Bi, Bo Zhou, Xiao-Qin Wan, Jiao-Jun Zhang, Guo-Biao Wang:
Data-based modeling and identification for general nonlinear dynamical systems by the multidimensional Taylor network. Kybernetes 52(10): 4257-4271 (2023) - 2022
- [j5]Hong-Sen Yan, Xiao-Yi Zheng, Bo Zhou, Jiao-Jun Zhang:
Time series forecasting based on a multidimensional Taylor network model with clustering of dynamic characteristics. J. Oper. Res. Soc. 73(12): 2660-2669 (2022) - [j4]Chen-Long Li, Hong-Sen Yan, Jiao-Jun Zhang:
Multi-dimensional Taylor network adaptive predictive control for single-input single-output nonlinear systems with input time-delay. Trans. Inst. Meas. Control 44(3) (2022)
2010 – 2019
- 2019
- [j3]Jiao-Jun Zhang, Hong-Sen Yan:
MTN optimal control of MIMO non-affine nonlinear time-varying discrete systems for tracking only by output feedback. J. Frankl. Inst. 356(8): 4304-4334 (2019) - [j2]Jiao-Jun Zhang:
State observer-based adaptive neural dynamic surface control for a class of uncertain nonlinear systems with input saturation using disturbance observer. Neural Comput. Appl. 31(9): 4993-5004 (2019) - [j1]Chen-Long Li, Xiao-Shuang Ma, Jiao-Jun Zhang:
Nonlinear system predictive control using a multi-dimensional Taylor network. Trans. Inst. Meas. Control 41(12): 3396-3405 (2019) - 2018
- [c1]Jiao-Jun Zhang, Hong-Sen Yan:
Time-varying Nonlinear Discrete-time Systems Identification Based on the Convex Combination of Two Multi-dimensional Taylor Networks. ICSPCC 2018: 1-6
Coauthor Index
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