Kunwu Zhang
Papers
5
Total Citations
417
H-Index
5
About
Kunwu Zhang is a leading researcher in autonomous intelligent mechatronic systems, with a primary focus on advanced control strategies for multi-agent robotics and unmanned aerial vehicles. His most impactful contribution is the development of an integral sliding mode control (ISMC) strategy for quadrotor waypoint tracking, which robustly handles model uncertainties and external disturbances—a work that has garnered 209 citations and become a foundational reference in the field. Zhang has also made significant strides in model predictive control (MPC), authoring a comprehensive tutorial on MPC frameworks for autonomous mechatronic systems (153 citations) and pioneering a robust data-driven MPC approach that integrates on-policy reinforcement learning for constrained robot manipulators. His research extends to event-triggered control for multi-robot rendezvous under communication delays and nonlinear MPC for nonholonomic wheeled mobile robots. With over 400 total citations across his key works, Zhang’s contributions are shaping the next generation of resilient, intelligent autonomous systems, bridging theoretical control advances with practical multi-agent applications.
Research Focus
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