Company Filing History:
Years Active: 2015
Title: Tomaso Poggi: Innovator in Digital Circuit Design for Control Systems
Introduction
Tomaso Poggi is an accomplished inventor based in Genoa, Italy. With a significant contribution to the field of digital circuits and control systems, he holds a patent that showcases his innovative approach to Model Predictive Control (MPC). His work has the potential to enhance the efficiency and stability of various automated systems.
Latest Patents
Poggi's patent involves a novel method for creating digital circuits of an MPC controller. The method employs an approximation technique for MPC, wherein a quadratic programming (QP) or linear programming (LP) optimization problem is formulated based on a model defined over a set of states. This set of states is strategically partitioned into simplices identified by vertices. The core steps include computing a solution to the optimization problem, checking the stability under the devised control law, and synthesizing a digital circuit.
Career Highlights
Tomaso Poggi is affiliated with the Università degli Studi di Genova, where he contributes to research and innovation in the field of control systems. His expertise in digital circuit design plays a crucial role in advancing the technologies currently in use. His patented method is a testament to his skill and dedication in transforming theoretical concepts into practical applications.
Collaborations
Throughout his career, Poggi has collaborated with noteworthy colleagues, including Marco Storace and Alberto Oliveri. Their combined efforts reflect a commitment to pushing boundaries in research and development, fostering an environment where innovative ideas can flourish.
Conclusion
Tomaso Poggi stands out as a significant figure in the realm of digital circuit design for feedback control systems. His inventive methods and partnerships with esteemed colleagues underline his dedication to the advancement of technology. With his patented innovations, he continues to inspire future developments in the field of control systems.