Qinling Zheng
Papers
2
Total Citations
21
H-Index
2
About
Qinling Zheng is a researcher whose work lies at the intersection of robotics, control theory, and computational intelligence. Her key research areas include humanoid robot balance control, evolutionary optimization algorithms, and disturbance rejection methods. Zheng’s major contributions are twofold: she developed the differential particle swarm evolution (DPSE) algorithm, a novel hybrid optimization technique that fuses particle swarm optimization with differential evolution for tuning robot control parameters; and she advanced postural balance control for humanoid robots using a disturbance rejection control (DRC) framework. Her most-cited paper, “Differential particle swarm evolution for robot control tuning” (2014, 15 citations), introduces the DPSE algorithm and demonstrates its effectiveness in optimizing controller performance. Her subsequent work on “Postural balance using a disturbance rejection method” (2017, 6 citations) provides a rigorous synthesis of balance control, establishing equilibrium conditions and validating the DRC approach through simulation. Though her citation counts are modest, Zheng’s contributions are notable for their practical impact on robot control and optimization, offering elegant solutions to complex, real-world challenges in robotics and automation.
Research Focus
Key Achievements
Top Papers
- 1Differential particle swarm evolution for robot control tuning15 citations · 2014
- 2Postural balance using a disturbance rejection method6 citations · 2017