Papers
23
Total Citations
3,638
H-Index
16
About
Xinghuo Yu is a prominent control systems researcher whose work has fundamentally shaped the field of sliding mode control and its applications in robotics and networked systems. His research spans terminal sliding mode control, finite-time stability, adaptive control, and multi-agent coordination — areas where he has made sustained and influential contributions over more than two decades. Yu's most celebrated work, "Continuous Finite-Time Control for Robotic Manipulators with Terminal Sliding Mode" (2005), has accumulated an remarkable 2,605 citations, reflecting its transformative impact on how researchers approach robust, finite-time convergent control for robotic systems. His early contributions on adaptive terminal sliding mode tracking control for rigid robotic manipulators established foundational techniques for handling system uncertainties without requiring precise knowledge of uncertainty bounds — a practically significant advance. His integration of RBF neural networks into sliding mode frameworks further demonstrated his commitment to bridging theoretical rigor with real-world applicability. Beyond robotics, Yu has expanded into networked and multi-agent systems, addressing coordination of Euler-Lagrange systems and nonholonomic agents under realistic communication constraints. His broader scholarly influence extends to reflecting on technological history, as evidenced by his co-authored survey on industrial electronics evolution. Yu's body of work represents a cornerstone reference for researchers pursuing robust, intelligent control system design.
Research Focus
Key Achievements
Top Papers
- 1Continuous finite-time control for robotic manipulators with terminal sliding mode2,605 citations · 2005
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- 3Terminal sliding mode observers for a class of nonlinear systems154 citations · 2010
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