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Author

Chao Yang

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Conference Jul 2026

Adaptive RBF neural network control for gait trajectory following in a rehabilitation exoskeleton

This study develops an adaptive trajectory-tracking method driven by an RBF neural network that yields faster error attenuation, smaller steady-state oscillation, along with improved resistance to disturbances in the hip and knee motions.

Yuhui Yang, Chao Yang, Yuanxiang Guo et al. · 0 citations
Conference Jul 2026

Research on adaptive robust control of lower limb rehabilitation exoskeleton

Simulation and experimental results demonstrate that compared to traditional PID control and sliding mode control (SMC), the ARCEC method exhibits significant advantages in trajectory tracking accuracy, enabling the lower-limb exoskeleton to precisely track human gait curves.

Chao Yang, Xin Han, Zhijue Huang et al. · 0 citations

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