Chenan Wang
Papers
1
Total Citations
8
H-Index
1
About
Chenan Wang is a rising researcher in control systems and fault detection, with a focus on nonlinear semi-Markov jump systems and their real-world applications. Their most cited work, "Mode-Dependent Event-Triggered Fault Detection for Nonlinear Semi-Markov Jump Systems With Quantization: Application to Robotic Manipulator" (2021, 8 citations), introduces a novel mode-dependent event-triggered transmission mechanism that significantly improves communication efficiency in complex dynamic systems. Wang further advances this field by incorporating mode-dependent quantization methods to address signal constraints, directly enhancing the reliability of fault detection in robotic manipulators. This contribution is critical for ensuring safety and performance in automated systems, bridging theoretical control theory with practical engineering challenges. With a growing citation impact, Wang’s work demonstrates a clear trajectory toward more intelligent, resource-efficient monitoring in cyber-physical systems. Their research is particularly valuable for students and engineers working on fault-tolerant control, event-triggered strategies, and nonlinear system analysis, offering both rigorous mathematical foundations and tangible application insights.
Research Focus
Key Achievements
Top Papers
- 1