Papers
2
Total Citations
45
H-Index
2
About
Hongbing Xu is a control systems researcher whose work bridges the gap between theoretical rigor and practical robotics applications. His research focuses on advanced control strategies for nonlinear and nonminimum-phase systems, with particular emphasis on output tracking, sliding mode control, and intelligent adaptive systems. In his most cited work, "Inversion-based optimal output tracking–transition switching with preview for nonminimum-phase linear systems" (2012, 29 citations), Xu developed a sophisticated framework for achieving precise output tracking in systems that are inherently difficult to control due to unstable zero dynamics—a significant contribution to the field of optimal control. Earlier, in "The adaptive sliding mode control based on a fuzzy neural network for manipulators" (2002, 16 citations), he proposed an innovative control scheme that combines fuzzy neural networks with sliding mode control to handle the complex, nonlinear dynamics of robot manipulators. This work introduced a feedforward algorithm capable of compensating for mass variations, gravitational effects, and Coriolis and centrifugal forces, demonstrating a practical approach to robust robotic control. Xu’s research continues to influence engineers and researchers working on intelligent control systems and robotic manipulator design.
Research Focus
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Top Papers
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