Our Wednesday, January 15th Program is as follows:
Understanding Machine Learning
Through Applications in Sensing and Control
About the Topic:
Machine learning is a field of techniques that has significantly grown in capability lately. These general tools are finding
applications across many fields, including increasingly in controls. But these methods require a shift in thinking from
traditional control system design. Rather than relying on analytic derivations or manual tuning, these algorithms are
defined through data sets—and therefore require a change in how we think about designing these systems
In this talk, we will dive directly into the question of how data can be used to specify algorithms. Various problems from
control engineering will be used as illustrative examples and machine learning algorithms will be trained to solve
them—with key concepts introduced along the way. By showing the full process of how these algorithms are developed,
participants will gain an understanding of how data can be used to specify algorithms. These examples will serve as tools
for thinking to help prepare you to successfully understand and apply these methods as they make further inroads to our
industry.
About the Speaker:
Timothy Franke is a Principal Controls Engineer at Parker Hannifin where he works in
product development for the area of electrification of hydraulic systems. Prior to his
current role, he was a Solutions Architect for Parker's Internet of Things initiative where he
specialized in data analytics and algorithm development for processing sensor data from
physical systems. Timothy earned his PhD in Systems and Control Engineering from Case Western Reserve
University.
Location:
Tavolo 72 and Microsoft Teams
7230 Engle Road
Middleburg Heights OH 44130
