Papers
1
Total Citations
26
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About
Yue Jun An is a researcher in intelligent control systems, with a primary focus on adaptive fuzzy control and its applications in robotics. Their most-cited work, "T-S Fuzzy Adaptive Control Based on Small Gain Approach for an Uncertain Robot Manipulators" (2020), has garnered 26 citations, establishing a foundation for robust control strategies in uncertain dynamic environments. An's research addresses critical challenges in nonlinear system stability, particularly for robot manipulators operating under parameter uncertainties and external disturbances. By integrating Takagi-Sugeno fuzzy models with small-gain theory, they have developed innovative approaches that enhance system robustness without requiring precise mathematical models. This work is particularly valuable for advancing autonomous robotic systems in manufacturing and service applications. An's contributions demonstrate a deep understanding of bridging theoretical control frameworks with practical robotic implementations, making their research highly relevant for engineers and researchers working on adaptive control, fuzzy logic systems, and human-robot interaction. Their ongoing work continues to influence the development of more reliable and adaptive robotic systems.
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