Yuan-Sheng Yu

Papers

Total Citations

124

H-Index

About

Yuan-Sheng Yu is a researcher specializing in intelligent control systems, mobile robotics, and advanced control theory, with a particular focus on the integration of fuzzy logic and sliding-mode control techniques for autonomous systems. His most notable contribution lies in the development of Network-Based Fuzzy Decentralized Sliding-Mode Control (NBFDSMC) for car-like mobile robots (CLMRs), a sophisticated framework that addresses the complex challenges of trajectory tracking in wheeled robotic platforms. By combining fuzzy decentralized control with sliding-mode strategies, Yu's approach elegantly handles the nonlinear dynamics governing both steering angle and forward-backward velocity control, requiring only an upper bound of system knowledge alongside minimal trial-and-error tuning — a practical advantage for real-world robotic applications. His 2007 publication on this topic has garnered 121 citations, reflecting meaningful influence within the robotics and control engineering communities. An earlier 2005 conference or preliminary version of this work laid the conceptual groundwork that would be further refined and validated in the more widely recognized study. Yu's research represents an important bridge between theoretical control methodologies and practical autonomous vehicle navigation, making his work particularly relevant to students and engineers pursuing intelligent robotic systems, network-based control architectures, and decentralized control design.