This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignees: Toyota Motor Engineering & Manufacturing North America, Inc., University of Michigan. Active years: 2019.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:

Years Active: 2019
Title: Jason R. Rodgers: Innovator in Model Predictive Control for Diesel Engines
Introduction
Jason R. Rodgers is a notable inventor based in Ann Arbor, MI. He has made significant contributions to the field of model predictive control, particularly in optimizing diesel engine air path flow. His innovative approach combines advanced mathematical techniques with practical applications in automotive engineering.
Latest Patents
Rodgers holds a patent titled "Hybrid partial and full step quadratic solver for model predictive control of diesel engine air path flow and methods of use." This patent describes methods and systems for utilizing hybrid, quadratic solvers to address linear feasibility problems associated with nonlinear challenges in internal combustion engine plants, specifically diesel engines. The model predictive control (MPC) framework he developed aims to solve a convex, quadratic cost function while adhering to various optimization variables and constraints. By employing a combination of iterative and direct calculations, his approach enhances plant operation efficiency while ensuring compliance with regulatory standards. The pre-computation and offline storage of primal and dual space array matrices further optimize computational power without sacrificing accuracy.
Career Highlights
Throughout his career, Jason R. Rodgers has worked with prominent organizations, including Toyota Motor Engineering & Manufacturing North America, Inc. and the University of Michigan. His experience in these institutions has allowed him to refine his expertise in automotive engineering and model predictive control.
Collaborations
Rodgers has collaborated with esteemed colleagues such as Mike Xuli Huang and Ilya V Kolmanovsky. Their joint efforts have contributed to advancements in the field of model predictive control and its applications in engine technology.
Conclusion
Jason R. Rodgers is a distinguished inventor whose work in model predictive control has the potential to revolutionize diesel engine efficiency. His innovative solutions and collaborative spirit continue to drive advancements in automotive engineering.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile