Abstract
Understanding complex systems is challenging. Professor Kutz has developed methods to turn data into simple models that not only predict but also reveal insights into how these systems work.
There are two given scenarios:
- when we have full data about the system, a method called SINDy is used to find equations that describe the system even with limited data
- when we have partial data about a system, HAVOK is employed, which helps create precise models and measurements to understand complex behaviors with incomplete data
Neural networks assist in simplifying these models and such techniques allow for complex systems with less data to be further understood.
For a technical abstract, please see Cassyni.
About the Aerodynamics & Control Seminar Series
The Aerodynamics & Control Seminars, hosted by the Department of Aeronautics, are a series of talks by internationally renowned academics covering a broad range of topics in fluid mechanics, control, and the intersection of these two areas.