Sliding Mode Control of Manipulator Based on Nominal Model and Nonlinear Disturbance Observer. - Weiyang Lin; Xiang Huo; Zishu Jin; Baibo Wu; Zhitai Liu (IECON, 2018)

Sliding Mode Control Algorithm Based on RBF Neural Network Observer for Pneumatic Position Servo System. - Gang Liu; Mingsi Tong; Chenglin Yang; Zhitai Liu; Weiyang Lin (IECON, 2019)

Approximation-Free Robust Synchronization Control for Dual-Linear-Motors-Driven Systems With Uncertainties and Disturbances. - Zhitai Liu; Weiyang Lin; Xinghu Yu; Juan J. Rodríguez-Andina; Huijun Gao (IEEE Trans. Ind. Electron., 2022)

Neural Networks-Based Adaptive Control for Linear Motors with Cogging Force Compensation. - Zhitai Liu; Zhongjin Zhang; Yanbin Liu; Weinan Li; Huihui Pan; Weichao Sun (IECON, 2023)

Adaptive Extended State Observer-Based Tracking Control for PMSM Drive Systems With Uncertainties and Disturbances. - Zhongjin Zhang; Zhitai Liu; Peng Li; Wei Cheng; Weiyang Lin (RCAR, 2023)

B-Spline Wavelet Neural-Network-Based Adaptive Control for Linear-Motor-Driven Systems via a Novel Gradient Descent Algorithm. - Zhitai Liu; Huijun Gao; Xinghu Yu; Weiyang Lin; Jianbin Qiu; Juan J. Rodríguez-Andina; Dongsheng Qu (IEEE Trans. Ind. Electron., 2024)

BDR-Net: digital recognition network for billet surface based on flow alignment and attention mechanism. - Jinyu Xu; Yipeng Liu; Zhitai Liu (Signal Image Video Process., 2024)

Disturbance Rejection-Based Motion Control of Linear Motors Via Integral Sliding Mode Observer. - Zhitai Liu; Zhongjin Zhang; Weiyang Lin; Xinghu Yu; Concettina Buccella; Carlo Cecati (IEEE Trans. Ind. Electron., 2025)

Shallow Deep Learning Can Still Excel in Fine-Grained Few-Shot Learning. - Chaofei Qi; Chao Ye; Zhitai Liu; Weiyang Lin; Jianbin Qiu (CoRR, 2025)

MetaLab: Few-Shot Game Changer for Image Recognition. - Chaofei Qi; Zhitai Liu; Jianbin Qiu (CoRR, 2025)

Color as the Impetus: Transforming Few-Shot Learner. - Chaofei Qi; Zhitai Liu; Jianbin Qiu (CoRR, 2025)