Jiao-Jun Zhang

According to our database, Jiao-Jun Zhang authored at least 9 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Data-Driven Forecasting of Nonlinear System with Herding via Multi-Dimensional Taylor Network.

Hong-Sen Yan, Guo-Biao Wang, Bo Zhou, Xiao-Qin Wan, Jiao-Jun Zhang

Cybern. Syst., May, 2024

Finite-Time Adaptive Neural Prescribed Performance Control for High-Order Nonlinearly Parameterized Switched Systems With Unmodeled Dynamics and Input Quantization.

Jiao-Jun Zhang, Yong-Hua Zhou, Qi-Ming Sun

IEEE Access, 2024

2023

Data-based modeling and identification for general nonlinear dynamical systems by the multidimensional Taylor network.

Hong-Sen Yan, Zhong-Tian Bi, Bo Zhou, Xiao-Qin Wan, Jiao-Jun Zhang, Guo-Biao Wang

Kybernetes, 2023

2022

Multi-dimensional Taylor network adaptive predictive control for single-input single-output nonlinear systems with input time-delay.

Chen-Long Li, Hong-Sen Yan, Jiao-Jun Zhang

Trans. Inst. Meas. Control, 2022

Time series forecasting based on a multidimensional Taylor network model with clustering of dynamic characteristics.

Hong-Sen Yan, Xiao-Yi Zheng, Bo Zhou, Jiao-Jun Zhang

J. Oper. Res. Soc., 2022

2019

Nonlinear system predictive control using a multi-dimensional Taylor network.

Chen-Long Li, Xiao-Shuang Ma, Jiao-Jun Zhang

Trans. Inst. Meas. Control, 2019

State observer-based adaptive neural dynamic surface control for a class of uncertain nonlinear systems with input saturation using disturbance observer.

Jiao-Jun Zhang

Neural Comput. Appl., 2019

MTN optimal control of MIMO non-affine nonlinear time-varying discrete systems for tracking only by output feedback.

Jiao-Jun Zhang, Hong-Sen Yan

J. Frankl. Inst., 2019

2018

Time-varying Nonlinear Discrete-time Systems Identification Based on the Convex Combination of Two Multi-dimensional Taylor Networks.

Jiao-Jun Zhang, Hong-Sen Yan

Proceedings of the 2018 IEEE International Conference on Signal Processing, 2018