Cleveland Heights, OH, United States of America

Martin Gulaian


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 8(Granted Patents)


Company Filing History:


Years Active: 1992

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1 patent (USPTO):Explore Patents

Title: Martin Gulaian: Innovator in pH Control Methodology

Introduction

Martin Gulaian is an accomplished inventor based in Cleveland Heights, OH (US). He has made significant contributions to the field of adaptive control systems, particularly in the area of pH titration curve estimation. His innovative approach has the potential to enhance various industrial processes that require precise pH management.

Latest Patents

Gulaian holds a patent for a methodology titled "Methodology for pH titration curve estimation for adaptive control." This patent describes a method of estimating pH titration curves for use in the adaptive control of pH in a process. The process involves gathering data points that represent the ratio between a reagent added to the process and a flow rate at a measured pH. These data points are stored in a bin system according to pH, allowing for the creation of a model of the titration curve. This model is crucial for controlling the addition of reagents, as it continuously updates by replacing older points with newer ones. The model is also utilized to generate a gain schedule for operating a PI controller that manages the addition of the reagent.

Career Highlights

Martin Gulaian is currently employed at Elsag International B.V., where he applies his expertise in adaptive control systems. His work focuses on improving processes that require precise chemical management, showcasing his commitment to innovation in the field.

Collaborations

Gulaian has collaborated with notable colleagues, including David L. Lane and Kenneth Loparo. Their combined expertise contributes to advancements in the methodologies used in adaptive control systems.

Conclusion

Martin Gulaian is a notable inventor whose work in pH titration curve estimation has the potential to significantly impact industrial processes. His innovative methodologies and collaborations highlight his dedication to advancing technology in adaptive control systems.

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