Wanmin Chang

Papers

Total Citations

148

H-Index

About

Wanmin Chang is a leading researcher in nonlinear control systems, with a primary focus on adaptive fuzzy control for flexible robotic manipulators. Her work addresses critical challenges in robotics, including actuator saturation and output constraints, which are essential for safe and precise operation in real-world applications. In her highly cited 2018 paper (107 citations), Chang introduced an adaptive fuzzy backstepping tracking control method that leverages fuzzy logic systems to handle unknown nonlinearities and actuator saturation in single-link robotic manipulators. Her 2016 study (41 citations) further advanced the field by incorporating output constraint control, ensuring stability and performance under physical limitations. These contributions have significantly impacted the development of intelligent control strategies for flexible manipulators, offering robust solutions for industrial and service robotics. Chang’s research is widely recognized for bridging theoretical control design with practical implementation, making her a key figure in adaptive fuzzy control and robotic systems.