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Cheng-Hu Jing

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Open access 2026

Lyapunov-based model predictive control for continuous stirred-tank reactors using physics-informed neural networks and disturbance observer

To address modeling complexity and poor control performance of traditional methods for continuous stirred-tank reactors subject to severe nonlinearity, and multivariable coupling, this paper proposes a Lyapunov-based model predictive control strategy integrating physics-informed neural networks and disturbance observer...

Peng-Xiao-Mou-Gao-Zhi-Liang-Chen-Xue-Juan-Lu-Jian- Lu, Cheng-Hu Jing, Ya-Feng Liu · 0 citations
Open access Jul 2026

Trajectory-tracking control of the UR10 manipulator based on radial basis function neural network and super-twisting sliding mode

Simulations on a 6-degree-of-freedom UR10 manipulator demonstrate that the proposed composite control strategy achieves high-precision tracking with small steady-state errors and smooth, chattering-free control torques, verifying its effectiveness and engineering applicability.

Xiaolei Ma, Cheng-Hu Jing, Kun Zhang et al. · 0 citations

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