Papers
2
Total Citations
18
H-Index
2
About
Lipeng Qi is a researcher specializing in advanced control systems for autonomous robotics, with a particular focus on model predictive control (MPC) and event-triggered mechanisms. His work addresses critical challenges in mobile and underwater robotics, specifically the computational and communication demands of real-time control. Qi’s most cited paper, "Design of a Model Predictive Trajectory Tracking Controller for Mobile Robot Based on the Event-Triggering Mechanism" (2021, 15 citations), introduces a novel approach that reduces online computation and communication load while maintaining trajectory tracking accuracy. This contribution is significant for resource-constrained robotic platforms. In his related work, "Self-Triggered Model Predictive Control for Perturbed Underwater Robot Systems" (2021, 3 citations), Qi extends these principles to underwater robotics, combining self-triggered mechanisms with nonlinear MPC to handle constraints and environmental disturbances. Though his citation counts are early-stage, his research demonstrates a clear trajectory toward efficient, robust control for autonomous systems. Qi’s contributions are particularly relevant for students and researchers exploring real-time control, event-triggered systems, and the intersection of theoretical control design with practical robotic applications.
Research Focus
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Top Papers
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