Jing Sun

University of Michigan–Ann Arbor, Yanshan University

Papers

Total Citations

225

H-Index

About

Jing Sun is a control systems researcher whose work spans model predictive control (MPC), marine systems, overactuated systems, and trajectory optimization. With a strong foundation in advanced control theory, Sun has made particularly notable contributions to the application of MPC in challenging real-world environments. His most influential work, "Disturbance Compensating Model Predictive Control With Application to Ship Heading Control" (2011, 167 citations), introduced a groundbreaking DC-MPC algorithm designed to maintain state constraint satisfaction and system feasibility in the presence of environmental disturbances — a critical advancement for maritime navigation in dynamic wave fields. Beyond marine applications, Sun has contributed meaningfully to the broader field of overactuated systems, developing MPC allocation strategies relevant to automotive, aerospace, and robotics domains (35 citations). His more recent research explores trajectory planning for pointing mechanisms, employing hybrid interpolation algorithms alongside the NSGA-II evolutionary optimization method to enhance motion stability and efficiency. Collectively, Sun's body of work reflects a consistent commitment to bridging rigorous control theory with practical engineering challenges, making his research valuable to both academic researchers and industry practitioners working in complex, constrained dynamic systems.