Shandong, China

Tengfei Qiu

USPTO Granted Patents = 2 

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2023-2025

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2 patents (USPTO):Explore Patents

Title: Innovations of Tengfei Qiu in Networked Control Systems

Introduction

Tengfei Qiu is a notable inventor based in Shandong, China. He has made significant contributions to the field of networked control systems, particularly through his innovative methods for time-delay compensation. His work is characterized by a blend of advanced predictive control techniques and practical applications in real-world systems.

Latest Patents

Tengfei Qiu holds a patent for a "Networked control system time-delay compensation method based on predictive control." This invention outlines a systematic approach to managing time delays in networked control systems (NCS). The method involves several key steps: acquiring random time-delay data, predicting current delays using a fuzzy neural network optimized by a particle swarm optimization algorithm, and compensating for these delays with an implicit proportional-integral-based generalized predictive control algorithm. This innovative approach not only enhances the accuracy of time-delay predictions but also offers effective compensation strategies, showcasing excellent development prospects.

Career Highlights

Tengfei Qiu is affiliated with Qingdao University of Technology, where he contributes to research and development in control systems. His academic and professional journey reflects a commitment to advancing technology in his field. His work has garnered attention for its practical implications and innovative methodologies.

Collaborations

Tengfei Qiu collaborates with esteemed colleagues such as Jingbo Zhao and Bingxin Xue. Their collective efforts contribute to the advancement of research in networked control systems and related technologies.

Conclusion

Tengfei Qiu's innovative contributions to networked control systems exemplify the potential of predictive control methods in addressing time-delay challenges. His work not only enhances the efficiency of control systems but also paves the way for future advancements in the field.

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