Papers
1
Total Citations
33
H-Index
1
About
Dangtong He is a rising researcher at the forefront of control theory for cyber-physical systems (CPSs), with a primary focus on model predictive control (MPC) and event-triggered mechanisms. His most-cited work, "PID-Based Event-Triggered MPC for Constrained Nonlinear Cyber-Physical Systems: Theory and Application" (2024, 33 citations), introduces a groundbreaking framework that integrates PID control principles into event-triggered MPC. This innovation significantly reduces communication and computational burdens in CPSs while maintaining robust constraint handling—a critical advancement for resource-limited applications like autonomous vehicles and industrial automation. By bridging classical PID strategies with modern predictive control, He’s work offers a practical, theory-backed solution to the long-standing challenge of balancing performance with efficiency in nonlinear systems. His contributions are already shaping how engineers design resilient, low-communication controllers for safety-critical environments. With growing recognition in the control community, He’s research promises to drive the next generation of intelligent, resource-aware autonomous systems.
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Top Papers
- 1