Guiyang, China

Shaobo Li


Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Innovations of Shaobo Li in Synchronization Control Methods

Introduction

Shaobo Li is a prominent inventor based in Guiyang, China. He has made significant contributions to the field of generator technology, particularly in the area of synchronization control methods. His innovative approach has led to the development of a unique patent that addresses complex challenges in generator synchronization.

Latest Patents

Shaobo Li holds a patent for a "Fuzzy finite-time optimal synchronization control method for fractional-order permanent magnet synchronous generator." This invention belongs to the technical field of generators and establishes a synchronization model between fractional-order driving and driven permanent magnet synchronous generators with capacitance-resistance coupling. The dynamic analysis of this system reveals rich dynamic behaviors, including chaotic oscillation. A numerical method provides stability and instability boundaries. Under the framework of fractional-order backstepping control theory, he has developed a fuzzy finite-time optimal synchronous control scheme that integrates a hierarchical type-2 fuzzy neural network, a finite-time command filter, and a finite-time prescribed performance function.

Career Highlights

Shaobo Li is affiliated with Guizhou University, where he continues to advance research in generator technology. His work has garnered attention for its innovative approach and practical applications in the field.

Collaborations

He collaborates with notable colleagues, including Shaohua Luo and Junyang Li, who contribute to his research endeavors and enhance the impact of his inventions.

Conclusion

Shaobo Li's contributions to the field of synchronization control methods for generators exemplify the importance of innovation in technology. His patent reflects a deep understanding of complex systems and offers solutions that can significantly improve generator performance.

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