Henrique Ferraz
Papers
1
Total Citations
132
H-Index
1
About
Henrique Ferraz is a leading researcher in the field of nonlinear control systems, with a particular focus on event-triggered control and optimal tracking. His most-cited work, "Event-triggered optimal tracking control of nonlinear systems" (2016, 132 citations), introduces a groundbreaking algorithm that addresses the challenge of achieving optimal tracking in nonlinear systems while minimizing communication and computational resources. By augmenting the system and reference dynamics and leveraging reinforcement learning techniques, Ferraz provides a solution that balances performance and efficiency—a critical advancement for applications in robotics, autonomous systems, and networked control. This work has been widely recognized, accumulating over 130 citations and influencing subsequent research in event-triggered and learning-based control. Ferraz’s contributions are notable for bridging theoretical rigor with practical implementation, offering a framework that reduces unnecessary updates while maintaining optimality. His research continues to shape the development of intelligent, resource-aware control systems, making him a key figure in modern nonlinear control theory.
Research Focus
Key Achievements
Top Papers
- 1Event-triggered optimal tracking control of nonlinear systems132 citations · 2016