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For the Inventor, By the Inventor

Tuscaloosa, AL, United States of America

Xingang Fu

This inventor holds 7 USPTO granted patents. Top assignee: The University of Alabama. Active years: 2017-2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Xingang Fu. Retrieved from https://idiyas.com/inventor/xingang-fu

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 7

% Patents Active = 100.0

Average Co-Inventor Count = 3.1

ph-index = 2

Forward Citations = 10(Granted Patents)


Location History:

  • Tuscaloosa, AL (US) (2017 - 2021)
  • Kingsville, TX (US) (2022)

Company Filing History:

goldMedal7 out of 328 
 
The University of Alabama
 patents

Years Active: 2017-2022

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7 patents (USPTO):Explore Patents
1. 11527955 - Systems, methods and devices for control of DC/DC converters and a standalone DC microgrid using artificial neural networks (2022-12-13),
2. 11228245 - Control of a buck dc/dc converter using approximate dynamic programming and artificial neural networks (2022-01-18),
3. 10990066 - Systems, methods and devices for vector control of induction machines using artificial neural networks (2021-04-27),
4. 10496052 - Systems, methods and devices for vector control of induction machines using artificial neural networks (2019-12-03),
5. 10367437 - Systems, methods and devices for approximate dynamic programming vector controllers for operation of IPM motors in linear and over modulation regions (2019-07-30),
6. 10333390 - Systems and methods for providing vector control of a grid connected converter with a resonant circuit grid filter (2019-06-25),
7. 9754204 - Systems, methods and devices for vector control of permanent magnet synchronous machines using artificial neural networks (2017-09-05),

Title: Innovations of Inventor Xingang Fu

Introduction

Xingang Fu is a prominent inventor based in Tuscaloosa, AL (US). He has made significant contributions to the field of electrical engineering, particularly in the area of control systems for DC/DC converters and microgrids. With a total of 7 patents, his work showcases the integration of artificial intelligence in power management systems.

Latest Patents

Xingang Fu's latest patents include innovative systems, methods, and devices for the control of DC/DC converters and standalone DC microgrids using artificial neural networks. One notable method involves an ANN-based control technique integrated with droop control, which is trained to implement optimal control based on approximate dynamic programming. The Levenberg-Marquardt algorithm is utilized for training the ANN, with performance evaluations demonstrating its effectiveness in maintaining voltage stability and managing power sharing among distributed generation units. Another patent focuses on a buck DC/DC converter controller that employs an ANN to produce output error voltages, enhancing the control action through a pulse-width-modulation sliding mode controller.

Career Highlights

Xingang Fu is affiliated with The University of Alabama, where he continues to advance research in electrical engineering. His work has garnered attention for its practical applications in energy systems, particularly in improving the efficiency and reliability of power converters.

Collaborations

Xingang Fu collaborates with notable colleagues such as Shuhui Li and Michael Howard Fairbank, contributing to a dynamic research environment that fosters innovation in electrical engineering.

Conclusion

Xingang Fu's contributions to the field of electrical engineering through his patents and research at The University of Alabama highlight his role as a leading inventor in the development of advanced control systems for power management. His work continues to influence the future of energy systems and artificial intelligence applications.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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