Zhiwen Su
Papers
1
Total Citations
2
H-Index
1
About
Zhiwen Su is a rising researcher in the field of intelligent robotics and nonlinear control systems, with a particular focus on adaptive neural network control, fault-tolerant mechanisms, and state-constrained dynamics. Their most notable work, "Adaptive neural network preset time fault tolerant control of omnidirectional mobile robot with input saturation based on state constraints" (2025), introduces a pioneering framework that integrates preset-time convergence with adaptive neural compensation to ensure robust performance under actuator faults and input saturation. This contribution addresses critical challenges in mobile robot autonomy, offering a mathematically rigorous yet practically viable solution for real-time trajectory tracking in constrained environments. While still early in their career, Su’s work has already garnered attention, with 2 citations reflecting its emerging impact. Their research bridges theoretical control theory and applied robotics, promising safer and more reliable autonomous systems. Su’s dedication to advancing fault-tolerant control under physical limitations positions them as a promising voice in the next generation of robotics and automation researchers.
Research Focus
Key Achievements
Top Papers
- 1