This inventor holds 1 USPTO granted patent. Top assignee: Abb Automation Gmbh. Active years: 2004.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2004
Title: Per Erik Modén: Innovator in Adaptive Control Systems
Introduction
Per Erik Modén is a notable inventor based in Västerås, Sweden. He has made significant contributions to the field of process modeling and control. His innovative work has led to the development of a unique methodology that enhances the performance of model predictive controllers.
Latest Patents
Per Erik Modén holds a patent for a "System and methodology and adaptive, linear model predictive control based on rigorous, nonlinear process model." This patent outlines a comprehensive methodology for process modeling and control, which includes a rigorous, nonlinear process simulation model. The methodology generates appropriate linear models derived from the rigorous model and implements an adaptive, linear model predictive controller (MPC) that utilizes these derived linear models. The approach simplifies the translation of nonlinear simulation equations into a format suitable for the controller, enhancing the overall control performance.
Career Highlights
Per Erik Modén is currently employed at ABB Automation GmbH, where he applies his expertise in adaptive control systems. His work focuses on improving the reliability and performance of control systems through innovative methodologies. He has developed various modules, such as a data pretreatment module for gross error detection and a data reconciliation and parameter estimation module to correct instrumentation errors.
Collaborations
Throughout his career, Per Erik Modén has collaborated with esteemed colleagues, including Todd M Hess and Andreas Kroll. These collaborations have further enriched his work and contributed to advancements in the field of adaptive control systems.
Conclusion
Per Erik Modén's contributions to adaptive control systems and process modeling have established him as a key figure in his field. His innovative methodologies and collaborative efforts continue to influence advancements in automation and control technology.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
