This inventor holds 1 USPTO granted patent. Top assignee: Analog Devices,inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Michael Christian Holloway and Machine-Learning-Based Power Converter Compensation.
Introduction
Michael Christian Holloway is an inventor associated with Colorado Springs, Colorado, and Analog Devices, Inc. His patent work addresses the analysis and tuning of power supply control systems using machine learning.
Latest Patents
Holloway is named on 1 patent: “Power Converter Loop Gain Identification and Compensation Using a Machine-Learning Model.” The invention describes technologies for identifying a power supply device’s closed-loop gain response and adjusting its compensation. A computing device receives data representing the device’s transient output voltage and applies a machine-learned model to determine the control loop’s frequency-domain response. It can then adjust one or more compensation components to help achieve satisfactory operating performance.
Career Highlights
Holloway’s listed patent connects machine-learning analysis with practical power electronics. By using transient voltage data to estimate loop response, the approach can support the identification and compensation of power supply control systems.
Collaborations
The provided information lists Wenjie Lu and Cecelia China Chu as Holloway’s coworkers. Their inclusion reflects his professional connections at Analog Devices, Inc.; no specific role in the patent is stated.
Conclusion
Michael Christian Holloway’s patent highlights an application of machine learning to power converter analysis, with a focus on identifying loop response and adjusting compensation for satisfactory operation.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile