Papers
12
Total Citations
786
H-Index
8
About
Shen Yin is a prominent control systems researcher whose work spans robotic manipulation, fault-tolerant control, and intelligent system design. Best known for his foundational contributions to tracking control of robotic manipulators, Yin has tackled some of the field's most persistent challenges — particularly the simultaneous handling of uncertain kinematics and dynamics in task-space trajectory control. His 2016 paper on this problem has accumulated 275 citations, while a follow-up 2018 work establishing an observer-based exponential tracking framework has garnered 183 citations, cementing his authority in the area. Yin's research extends meaningfully into fault-tolerant control, where his sliding mode observer-based approach for reconfigurable systems under actuator faults (166 citations) has proven widely influential. He has further advanced intelligent fault reconstruction techniques for robotic systems and contributed to multiagent consensus control under stochastic and saturated conditions. More recently, his interests have broadened to encompass nonlinear system identification, finite-time optimal control, and cyber-physical systems within Industry 4.0 frameworks. His editorial leadership on data-driven monitoring of cyber-physical systems reflects his growing role in shaping research agendas. Across his career, Yin's work bridges rigorous theoretical development with real-world applicability in industrial and robotic contexts.
Research Focus
Key Achievements
Top Papers
- 1Tracking Control of Robotic Manipulators With Uncertain Kinematics and Dynamics275 citations · 2016
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- 5An Intelligent Actuator Fault Reconstruction Scheme for Robotic Manipulators49 citations · 2017
- 6Nonlinear System Identification With Robust Multiple Model Approach19 citations · 2019
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