Wencheng Zou

Nanjing University of Science and Technology

Papers

Total Citations

H-Index

About

Wencheng Zou is a rising researcher in control theory and nonlinear systems, whose work focuses on the intersection of optimal control, switched systems, and multi-agent coordination. His most-cited paper, "Event-Triggered Optimal Control for a Class of Continuous-Time Switched Nonlinear Systems" (2024, 43 citations), introduces an innovative event-triggered adaptive dynamic programming (ADP) algorithm for co-designing optimal switching and control policies—a significant step forward for complex hybrid systems. In another notable contribution, "Sampled-Data Connectivity-Preserving Consensus for Multiple Heterogeneous Euler-Lagrange Systems" (2024, 11 citations), Zou addresses the challenging problem of achieving consensus among agents with diverse dynamics and limited communication ranges, proposing a sampled-data framework that preserves network connectivity without requiring continuous monitoring. These works demonstrate Zou's ability to tackle real-world constraints like event-triggered communication and sampled-data control, making his research highly relevant for applications in robotics, autonomous systems, and networked control. With growing citation impact and a focus on practical, scalable solutions, Zou is establishing himself as a promising voice in modern control engineering.