Wei Yen Wang
Papers
3
Total Citations
34
H-Index
3
About
Wei Yen Wang is a researcher specializing in intelligent control systems, robotics, and fuzzy-neural computing, with a particular focus on developing adaptive control methodologies for complex dynamical systems. His work bridges the gap between theoretical control frameworks and practical robotic applications, making significant contributions to the field of autonomous systems and nonlinear control. Wang's most influential contribution, "On-line Adaptive T-S Fuzzy-Neural Control for A Class of General Multi-Link Robot Manipulators" (2008), has garnered 15 citations and demonstrates his expertise in combining Takagi-Sugeno fuzzy logic with neural network architectures to achieve robust real-time control of articulated robotic systems. His 2013 work on autonomous ramp detection for tracked robots using Kinect sensors reflects his broader interest in practical robot autonomy and environmental perception, accumulating 12 citations. Additionally, his research on hybrid intelligent output-feedback control for uncertain nonlinear multivariable systems highlights his commitment to addressing real-world control challenges where system parameters are incomplete or unpredictable. Across his body of work, Wang has established himself as a thoughtful contributor to intelligent robotics and adaptive control, offering solutions that are both mathematically rigorous and practically implementable for emerging autonomous systems.
Research Focus
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Top Papers
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