Papers
16
Total Citations
249
H-Index
10
About
Fangzheng Gao is a control systems researcher whose work spans nonholonomic systems, finite-time stabilization, and networked control, with growing contributions to robotics and intelligent systems. His most significant contributions lie in developing rigorous control strategies for nonholonomic chained-form systems subject to real-world constraints such as output limitations, actuator dead-zones, and stochastic disturbances. His highly cited 2020 work on output feedback stabilization within prescribed finite time for asymmetric time-varying constrained nonholonomic systems (43 citations) exemplifies his ability to tackle complex, practically motivated control challenges. Earlier foundational work, including his 2016 study on saturated finite-time stabilization (41 citations) and a 2012 paper on stochastic nonholonomic systems applied to mobile robots, demonstrates a sustained and evolving research trajectory. More recently, Gao has broadened his scope to encompass networked Markov switched nonlinear systems, fuzzy switched systems under cyber-attacks, and advanced robotics, including a 6-DOF parallel robot controller and LiDAR-vision-inertial odometry for quadruped robots. Collectively accumulating over 200 citations, his body of work reflects a productive blend of rigorous theoretical development and practical engineering application, making him a valuable reference for researchers working at the intersection of nonlinear control theory and autonomous systems.
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