Tongwen Chen

Papers

Total Citations

131

H-Index

About

Tongwen Chen is a leading figure in networked control systems and iterative learning control, with a particular focus on the challenges posed by real-world communication constraints. His work addresses critical issues such as time delays, packet loss, and updating disorders in networked environments. A key contribution is his development of event-triggered formation tracking control for nonholonomic mobile robots, which operates without velocity measurements—a breakthrough for autonomous systems with limited sensing. This highly influential paper has garnered 88 citations, reflecting its impact on robotics and multi-agent systems. Chen’s earlier research on iterative learning control for sampled-data nonlinear systems over networks, with 40 citations, established foundational insights into how constant delays and stochastic packet loss affect learning performance. More recently, his 2023 work tackles the complex problem of networked control for nonlinear plants facing multiple simultaneous network issues, including time-varying intervals and sensor schedule protocols. Through these contributions, Chen has advanced the practical deployment of control systems in unreliable communication environments, making him a key reference for researchers working at the intersection of control theory and networked systems.