Xingxing You
Papers
2
Total Citations
4
H-Index
1
About
Xingxing You is a rising researcher at the forefront of intelligent control systems, specializing in adaptive safety-critical control and self-learning optimal control for complex nonlinear systems. Their work addresses fundamental challenges in ensuring stability and safety under uncertainty, with direct applications to advanced robotics and cyber-physical systems. Notably, their 2025 paper on "Adaptive safety critical compensation control for nonlinear jump systems" (3 citations) introduces a novel framework that guarantees system safety even under abrupt parameter changes, a critical advancement for autonomous systems operating in unpredictable environments. Complementing this, their research on "Critic-only based self learning optimal control for continuum robots with unknown disturbances" (1 citation) pioneers a model-free approach using extended state observers, enabling continuum robots to achieve near-optimal performance without explicit system models—a breakthrough for soft robotics and medical applications. Though early in their career, You's work has already garnered attention for its theoretical rigor and practical relevance, bridging the gap between adaptive control theory and real-world robotic systems. Their contributions are poised to influence next-generation autonomous systems requiring both safety guarantees and learning-based adaptability.
Research Focus
Key Achievements
Top Papers
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- 2