Haoqi Zhang
Papers
1
Total Citations
25
H-Index
1
About
Dr. Haoqi Zhang is a leading researcher in advanced control systems, with a primary focus on pneumatic artificial muscle (PAM) technologies and their applications in rehabilitation and bionic robotics. His most cited work, "Adaptive Set-Membership Filter Based Discrete Sliding Mode Control for Pneumatic Artificial Muscle Systems With Hardware Experiments" (2023, 25 citations), addresses a critical challenge in the field: the complex hysteretic nonlinearities and uncertainties inherent in PAM systems. Dr. Zhang’s major contribution lies in developing a novel adaptive set-membership filter combined with discrete sliding mode control, enabling more accurate modeling and robust controller design for these flexible, safe actuators. This work bridges theoretical control methods with practical hardware implementation, validated through real-world experiments. His research has significant implications for improving the precision and reliability of rehabilitation robots and bionic devices, where PAMs offer unique advantages over traditional rigid actuators. Dr. Zhang’s innovative approach to tackling system uncertainties marks him as a rising authority in nonlinear control and soft robotics, with his work laying groundwork for safer, more adaptive human-robot interaction systems.
Research Focus
Key Achievements
Top Papers
- 1