Shangtai Jin
Papers
3
Total Citations
21
H-Index
3
About
Shangtai Jin is a leading researcher in the field of intelligent control systems, with a primary focus on model-free adaptive control (MFAC) for robotic systems. His work addresses critical challenges in nonlinear, uncertain, and communication-constrained environments. Jin’s major contributions include pioneering energy-saving control strategies for bionic robotic fish, where he developed an MFAC approach that optimizes propulsion efficiency without requiring precise mathematical models. He also advanced the control of robotic manipulators by integrating predictive tracking with MFAC, effectively handling parameter uncertainties to improve precision and robustness. More recently, Jin has tackled real-world implementation issues such as time delay and data dropout in wheeled robots, proposing an improved MFAC algorithm with data compensation to maintain stability and performance. With over 20 citations across his most-cited works, his research is gaining recognition for its practical applicability. Notably, his 2025 paper on time-delay compensation represents a significant step toward deploying MFAC in networked and autonomous systems, marking him as an emerging innovator in adaptive and data-driven control.
Research Focus
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Top Papers
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