Hengjun Zhang
Papers
2
Total Citations
45
H-Index
2
About
Hengjun Zhang is a leading researcher in nonlinear control theory, with a primary focus on the robust stabilization of nonholonomic mobile robots. His work masterfully integrates visual servoing feedback to address the critical challenge of controlling robotic systems under real-world constraints, such as input saturation and uncertain camera parameters. Zhang’s most influential contribution, his 2013 paper on “Robust Practical Stabilization of Nonholonomic Mobile Robots Based on Visual Servoing Feedback with Inputs Saturation,” has garnered 43 citations, establishing a foundational method for directly designing switching controllers on the original system model. This work is widely recognized for providing a practical solution to the stabilization problem without relying on simplified transformations. Expanding his impact, Zhang has also pioneered the extension of these models into stochastic environments, as seen in his 2014 work on state-feedback stabilization for stochastic nonholonomic robots, which accounts for random disturbances in velocity commands. Through these contributions, Zhang has significantly advanced the field of autonomous robotics, offering robust, implementable strategies that bridge the gap between theoretical control design and real-world robotic navigation.
Research Focus
Key Achievements
Top Papers
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