Yaozhen Han
Papers
1
Total Citations
16
H-Index
1
About
Dr. Yaozhen Han is a leading figure in the field of advanced robotics and nonlinear control systems, with a particular focus on the intelligent motion control of omnidirectional mobile robots. His most impactful work, "Neural Network Based Adaptive Dynamic Surface Control for Omnidirectional Mobile Robots Tracking Control with Full-state Constraints and Input Saturation" (2021, 16 citations), addresses a critical challenge in robotics: achieving precise trajectory tracking while respecting physical limitations like actuator saturation and state constraints. Dr. Han’s key contribution lies in integrating neural network-based adaptive control with dynamic surface control (DSC) to handle complex, uncertain dynamics without requiring an exact mathematical model. This approach not only enhances tracking accuracy but also ensures system stability and safety under real-world constraints. His research bridges the gap between theoretical control design and practical robotic applications, offering a robust framework for autonomous systems operating in constrained environments. With 16 citations in a short period, this work has already influenced subsequent studies in adaptive robotics and constrained control. Dr. Han’s achievements underscore his role in advancing intelligent, constraint-aware control strategies, making him a notable contributor to modern robotics and automation.
Research Focus
Key Achievements
Top Papers
- 1