Jieling Chang
Papers
1
Total Citations
4
H-Index
1
About
Dr. Jieling Chang is a leading researcher in micro-electro-mechanical system (MEMS) sensor technology and nonlinear estimation, with a focus on enhancing the reliability of inertial measurement units in robotic applications. Her most cited work, "Nonlinear Robust Bias Observer for MEMS Gyros Using Noninertial Attitude Sensor Measurement" (2023), tackles a critical challenge in commercial-grade MEMS gyroscopes: the unpredictable, nonlinear dynamics sensitivities that degrade performance in real-world environments. Dr. Chang introduced a novel nonlinear robust bias observer that effectively estimates these uncertain biases, significantly improving attitude estimation accuracy without relying on traditional linear drift models. This contribution has garnered 4 citations and is recognized for its practical impact on autonomous navigation and robotics. Her research bridges the gap between theoretical control systems and applied sensor fusion, offering robust solutions for high-precision motion tracking. Dr. Chang’s work continues to influence the development of more resilient MEMS-based systems, making her a rising authority in nonlinear estimation and sensor calibration.
Research Focus
Key Achievements
Top Papers
- 1