Zezhi Tang

Orcid: 0000-0002-0182-6010

According to our database1, Zezhi Tang authored at least 13 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
SignVLA: A Gloss-Free Vision-Language-Action Framework for Real-Time Sign Language-Guided Robotic Manipulation.
CoRR, February, 2026

Disturbance observer-based tracking control for roll-to-roll slot die coating systems under gap and pump rate disturbances.
CoRR, January, 2026

2025
Deep Reinforcement Learning Optimization for Uncertain Nonlinear Systems via Event-Triggered Robust Adaptive Dynamic Programming.
CoRR, December, 2025

Hierarchical Testing with Rabbit Optimization for Industrial Cyber-Physical Systems.
CoRR, July, 2025

A temporal scale transformer framework for precise remaining useful life prediction in fuel cells.
CoRR, April, 2025

2024
Discrete-Time Stress Matrix-Based Formation Control of General Linear Multi-Agent Systems.
CoRR, 2024

Stress Matrix-Based Formation Control of Multi-Agent Systems with Discrete-Time Communication.
Proceedings of the 12th International Conference on Systems and Control, 2024

Real-Time Object Detection and Robotic Manipulation for Agriculture Using a YOLO-Based Learning Approach.
Proceedings of the IEEE International Conference on Industrial Technology, 2024

Reinforcement Learning-Based Output Stabilization Control for Nonlinear Systems With Generalized Disturbances.
Proceedings of the IEEE International Conference on Industrial Technology, 2024

2023
Real-Time Remaining Useful Life Prediction of Cutting Tools Using Sparse Augmented Lagrangian Analysis and Gaussian Process Regression.
Sensors, 2023

2021
Determination of Surface Crack Orientation Based on Thin-Skin Regime Using Triple-Coil Drive-Pickup Eddy-Current Sensor.
IEEE Trans. Instrum. Meas., 2021

2020
Adaptive Affine Formation Maneuver Control of Second-Order Multi-Agent Systems with Disturbances.
Proceedings of the 16th International Conference on Control, 2020

2019
Disturbance rejection via iterative learning control with a disturbance observer for active magnetic bearing systems.
Frontiers Inf. Technol. Electron. Eng., 2019


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