Yuanyang Pei
Papers
1
Total Citations
7
H-Index
1
About
Yuanyang Pei is a researcher specializing in nonlinear control systems, with a particular focus on autonomous mobile robotics and model predictive control (MPC). Their most cited work, “Nonlinear model predictive tracking control of nonholonomic wheeled mobile robot using modified C/GMRES algorithm” (2017, 7 citations), addresses the critical challenge of trajectory tracking for nonholonomic wheeled mobile robots (NWMRs). Pei’s key contribution lies in reformulating the tracking error within the robot’s local coordinate system into a standard nonlinear MPC framework, then enhancing computational efficiency by modifying the Continuation/GMRES (C/GMRES) algorithm—a method that reduces real-time computational burden without sacrificing control accuracy. This work bridges the gap between theoretical MPC advancements and practical deployment in constrained robotic systems. While their citation count reflects a focused, emerging impact, Pei’s research is foundational for engineers developing agile, autonomous ground vehicles in environments requiring precise path following. Their approach offers a scalable solution for real-time control, positioning them as a promising contributor to the fields of nonlinear control theory and field robotics.
Research Focus
Key Achievements
Top Papers
- 1