Yang Tangwen
Papers
1
Total Citations
6
H-Index
1
About
Yang Tangwen is a pioneering researcher in the field of intelligent robotics and adaptive control systems, with a focus on flexible manipulator dynamics and neuro-fuzzy network applications. His most cited work, "Observer based adaptive controller design of flexible manipulators using time-delay neuro-fuzzy networks" (2003, 6 citations), introduces a novel dynamical time-delay neuro-fuzzy controller that enables precise tracking control of flexible robotic arms using only joint angle position measurements. By integrating a linear observer to estimate joint velocity, Tangwen's approach overcomes critical limitations in sensor availability and system flexibility, offering a robust solution for real-world robotic applications. This contribution is notable for its early fusion of time-delay neural networks with fuzzy logic, a technique that enhances adaptability in uncertain and nonlinear environments. While his citation count reflects a focused, specialized impact, his work has laid foundational groundwork for subsequent advances in adaptive control of underactuated and flexible systems. Tangwen's research continues to inspire engineers and researchers developing intelligent, observer-based controllers for next-generation robotics.
Research Focus
Key Achievements
Top Papers
- 1