Chan Shi Jing
Papers
2
Total Citations
8
H-Index
2
About
Chan Shi Jing’s research centers on fault detection and isolation (FDI) for complex, nonlinear systems—a critical area for ensuring safety and reliability in autonomous robotics. Her major contributions involve developing methods to monitor, identify, and pinpoint the type and location of system faults in multiple-input multiple-output (MIMO) platforms. She has demonstrated these techniques on two distinct complex systems: a two-wheel robot and a quadrotor UAV, showing how FDI can be tailored to different dynamic environments. Though her most-cited papers have garnered modest attention (4 citations each), they represent foundational work in applying FDI to real-world robotic platforms. Her research bridges theoretical control systems with practical implementation, offering valuable insights for students and engineers working on autonomous vehicle safety, drone reliability, and industrial automation. By focusing on fault identification in nonlinear MIMO systems, Chan Shi Jing contributes to the growing need for resilient, self-diagnosing robots—a key challenge in modern robotics and control engineering.
Research Focus
Key Achievements
Top Papers
- 1Fault detection and isolation for complex system4 citations · 2017
- 2Fault detection and identification in Quadrotor system (Quadrotor robot)4 citations · 2016