Shuying Peng

Papers

Total Citations

H-Index

About

Shuying Peng is a researcher specializing in intelligent control systems, with a particular focus on the motion control and trajectory tracking of nonholonomic wheeled mobile robots. Their work sits at the intersection of adaptive control theory, fuzzy logic systems, and sliding mode control, addressing the real-world challenges of parameter uncertainties, external disturbances, and incomplete state measurements that complicate robust robot navigation. Among their most recognized contributions is a 2018 study on adaptive fuzzy output feedback control, which has garnered 53 citations, demonstrating a practical approach to trajectory tracking without relying on direct velocity measurements — a significant advancement for resource-constrained robotic systems. This was complemented by a 2017 investigation into adaptive fuzzy integral terminal sliding mode control, cited 31 times, which innovatively combined kinematic and dynamic robot models while using actuator voltage as the direct control input, offering enhanced precision and disturbance rejection. Together, these works reflect Peng's commitment to developing computationally intelligent, practically deployable control frameworks. Their research has meaningfully influenced the mobile robotics and nonlinear control communities, providing reliable methodologies that continue to inform subsequent studies in autonomous robot guidance and adaptive systems design.