Feiyue Wu | Materials | Best Researcher Award

Dr. Feiyue Wu , Dalian University of Technology , China

🎓 Dr. Feiyue Wu is an Associate Professor at the School of Control Science and Engineering, Dalian University of Technology. He earned his Ph.D. in Control Theory and Control Engineering in 2021. His research specializes in the constrained control of switched systems and their applications in composite materials and structures. Dr. Wu has led five research projects, published 18 SCI/Scopus-indexed articles, and secured three national invention patents. His innovative methods contribute to optimizing the mechanical properties of composite materials. As an IEEE Member, Dr. Wu actively advances control science to enhance composite systems’ reliability and performance. 🌟🔬

Publication Profile

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Education and Experience 

• 🎓 Ph.D. in Control Theory and Control Engineering (2021) – Dalian University of Technology, China.
• 🧑‍🏫 Associate Professor – School of Control Science and Engineering, Dalian University of Technology.
• 🛠️ Research Leader – Five projects, including a National Natural Science Foundation of China Youth Project.
• 🤝 Industry Collaboration – Four projects focused on composite material performance optimization.

Suitability Summary

Dr. Feiyue Wu, an Associate Professor at the School of Control Science and Engineering, Dalian University of Technology, is a distinguished nominee for the Best Researcher Award. With a strong academic foundation and a Ph.D. in Control Theory and Control Engineering (2021) from the same institution, Dr. Wu has made remarkable contributions to the fields of constrained control of switched systems and control allocation.

Professional Development 

📈 Dr. Feiyue Wu’s innovative research bridges control science and composite materials. His work addresses critical challenges in optimizing material performance by introducing constrained control methods for switched systems. These advancements enhance the stability, durability, and efficiency of composites under dynamic conditions. 🛠️ He has published 18 indexed journal articles, led five research projects, and secured three national invention patents related to control applications in composite materials. Dr. Wu’s active engagement as an IEEE Member and his collaborations with industry underline his commitment to driving technological progress in materials science and engineering. 🚀🔍

Research Focus 

🔬 Dr. Feiyue Wu’s research emphasizes control science applications in composite materials. By integrating constrained control methods with composite systems, he tackles challenges like dynamic load management, structural optimization, and material stability. His innovative use of semi-ellipsoidal invariant sets enables precise control, enhancing the mechanical properties of composites under various conditions. ⚙️ His work contributes to advancing sustainability and reliability in sectors utilizing composites, such as aerospace, automotive, and construction. With a focus on bridging theory and application, Dr. Wu is revolutionizing control methodologies to elevate composite material performance. 🤖🌿📘

Awards and Honors 

• 🏆 Three National Invention Patents – Recognized for innovations in control science and composite materials.
• 📜 18 SCI/Scopus-Indexed Publications – High-impact contributions to control systems in material science.
• ⭐ National Natural Science Foundation of China Youth Project – Prestigious research funding leader.
• 🤝 Active IEEE Member – Advancing control science in composite systems.

 

Publications Top Notes

• A Cross-Layer Game-Theoretic Approach to Resilient Control of Networked Switched Systems Against DoS Attacks
• Self-Triggered Model Predictive Control for Switched Systems with Dwell Time Constraints
• Prescribed Performance Bumpless Transfer Control for Switched Large-Scale Nonlinear Systems
• Graph-Based Restricted and Arbitrary Switching for Switched Positive Systems via a Weak CLCLF
• A Stackelberg Game Approach to the Stability of Networked Switched Systems Under DoS Attacks
• Truncated Predictor Feedback Control for Switched Linear Systems Subject to Input Delay and Saturation
• Multi-Rate Sampled-Data Control of Switched Affine Systems