Disturbance rejection via iterative learning control with a disturbance observer for active magnetic bearing systems. - Zezhi Tang; Yuanjin Yu; Zhenhong Li 002; Zhengtao Ding (Frontiers Inf. Technol. Electron. Eng., 2019)

Adaptive Affine Formation Maneuver Control of Second-Order Multi-Agent Systems with Disturbances. - Zhengxin Luo; Pengyu Zhang; Xiangjun Ding; Zezhi Tang; Chunyan Wang 008; Jianan Wang (ICARCV, 2020)

Determination of Surface Crack Orientation Based on Thin-Skin Regime Using Triple-Coil Drive-Pickup Eddy-Current Sensor. - Mingyang Lu; Xiaobai Meng; Ruochen Huang; Liming Chen; Zezhi Tang; Junshi Li; Anthony J. Peyton; Wuliang Yin (IEEE Trans. Instrum. Meas., 2021)

Real-Time Remaining Useful Life Prediction of Cutting Tools Using Sparse Augmented Lagrangian Analysis and Gaussian Process Regression. - Xiao Qin; Weizhi Huang; Xuefei Wang; Zezhi Tang; Zepeng Liu (Sensors, 2023)

Reinforcement Learning-Based Output Stabilization Control for Nonlinear Systems With Generalized Disturbances. - Zezhi Tang; J. Anthony Rossiter; Yi Dong; George Panoutsos (ICIT, 2024)

Real-Time Object Detection and Robotic Manipulation for Agriculture Using a YOLO-Based Learning Approach. - Hongyu Zhao; Zezhi Tang; Zhenhong Li 002; Yi Dong; Yuancheng Si; Mingyang Lu; George Panoutsos (ICIT, 2024)

Stress Matrix-Based Formation Control of Multi-Agent Systems with Discrete-Time Communication. - Okechi Onuoha; Brendan Chijioke Ubochi; Suleiman Kurawa; Zezhi Tang; Changshun Wu; Yi Dong (ICSC, 2024)

Discrete-Time Stress Matrix-Based Formation Control of General Linear Multi-Agent Systems. - Okechi Onuoha; Suleiman Kurawa; Zezhi Tang; Yi Dong (CoRR, 2024)

A temporal scale transformer framework for precise remaining useful life prediction in fuel cells. - Zezhi Tang; Xiaoyu Chen; Xin Jin; Benyuan Zhang; Wenyu Liang (CoRR, 2025)

Hierarchical Testing with Rabbit Optimization for Industrial Cyber-Physical Systems. - Jinwei Hu; Zezhi Tang; Xin Jin; Benyuan Zhang; Yi Dong; Xiaowei Huang (CoRR, 2025)