Ning He
Papers
1
Total Citations
77
H-Index
1
About
Ning He is a control systems researcher whose work sits at the intersection of model predictive control, event-triggered mechanisms, and robust system design. His most recognized contribution, a 2015 paper accumulating 77 citations, introduced innovative event-based robust sampled-data model predictive control strategies for continuous-time systems subject to disturbances. What distinguishes this work is its pioneering use of non-monotonic Lyapunov function approaches — a mathematically sophisticated framework that relaxes the traditional requirement of strict Lyapunov decrease at every time step, enabling more flexible and computationally efficient control designs. By embedding event-triggering mechanisms directly into the MPC law, He's methodology reduces unnecessary computational overhead while maintaining robust stability guarantees — a practically significant advancement for real-time embedded control applications. This contribution reflects broader themes in He's research agenda: bridging theoretical rigor with engineering practicality in the context of sampled-data and networked control systems. His work appeals to researchers tackling challenges in cyber-physical systems, autonomous control, and resource-constrained environments, where balancing control performance against communication and computational efficiency remains a central and growing challenge.
Research Focus
Key Achievements
Top Papers
- 1