Daoxiang Gao

Beijing Forestry University, Northeastern University

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About

Daoxiang Gao’s research centers on advanced control strategies for robotic manipulators, with a particular focus on adaptive control, fuzzy logic systems, and sliding mode techniques to improve trajectory tracking and robustness. His major contributions include pioneering adaptive fuzzy sliding mode control, where he transformed sliding surfaces and employed hyperbolic tangent functions to reduce chattering while maintaining precision—a method that has garnered 11 citations. He also developed terminal sliding mode adaptive control for rigid manipulators facing unknown parameters and external disturbances, constructing estimated systems to approximate dynamic behavior. Additionally, Gao introduced a fuzzy direct adaptive control approach using a generalized hyperbolic model as the fuzzy basis function, offering a novel alternative to traditional methods. His work is notable for integrating continuous functions and adaptive laws to enhance stability and performance in real-world robotic applications. With a focused body of work spanning from 2006 to 2010, Gao’s research has laid foundational insights for engineers seeking robust, intelligent control solutions in robotics.