Papers
14
Total Citations
179
H-Index
6
About
Wen-Shyong Yu is a control systems researcher whose work spans intelligent control, robotics, and adaptive systems, with particular expertise in fuzzy logic, neural networks, and sliding mode control methodologies. His most significant contributions center on developing robust adaptive control frameworks for complex, uncertain dynamic systems. Yu's 2008 work on adaptive fuzzy sliding mode control for MIMO linear time-varying uncertain systems (35 citations) established foundational techniques for handling system uncertainty through intelligent adaptive mechanisms, while his 2003 research on H∞ tracking-based adaptive fuzzy-neural control for uncertain robotic systems with time delays (34 citations) demonstrated his ability to bridge theoretical rigor with practical robotic applications. His investigations into parallel manipulators, including H∞ tracking adaptive fuzzy integral sliding mode control (36 citations), further cemented his reputation in advanced manipulation systems. More recently, Yu expanded into fault-tolerant control and fixed-time convergence guarantees for robotic manipulators, reflecting the field's growing demand for reliability. His observer-based adaptive neural network approaches and work on haptic telerobotic systems showcase the breadth of his contributions across both theoretical development and real-world implementation, accumulating over 170 citations across his body of work.
Research Focus
Key Achievements
Top Papers
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- 7Analysis and design of haptic telerobotic system5 citations · 2001
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- 9Visual servo control of the hexapod robot with obstacle avoidance3 citations · 2014
- 10Adaptive neural network tracking control of robotic systems3 citations · 2012