Jie Mi
Papers
1
Total Citations
2
H-Index
1
About
Jie Mi is a control theorist whose research focuses on adaptive observer design for nonlinear systems, particularly under the practical constraint of sampled output measurements. In their most-cited work, "Continuous-discrete adaptive observers for a class of nonlinear systems with sampled output" (2017), Mi tackles the challenge of estimating unknown constant parameters and system states when output data is only available at discrete sampling instants. The key innovation is an observer structured in impulsive dynamics form, paired with an inter-sample output predictor that maintains continuous state estimates between measurements. This approach bridges the gap between continuous-time system dynamics and discrete-time sensor data, a critical problem in modern networked and digital control systems. While the paper has accumulated 2 citations, its conceptual contribution lies in extending adaptive observer theory to more realistic sensing scenarios. Mi’s work is particularly relevant for applications in robotics, autonomous systems, and process control, where sensors provide data at fixed intervals but controllers require continuous state information. This research represents a meaningful step toward making adaptive control theory more applicable to real-world digital implementations.
Research Focus
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Top Papers
- 1