How to Leverage Machine Learning Tools in Model Predictive Control Schemes

Join the IEEE Toronto Instrumentation & Measurement – Robotics & Automation Joint Chapter for a talk on Application of Machine Learning in Model Predictive Control, presented by Dr. Meaghan Charest-Finn.
Tuesday, August 16, 2022 @ 4:00 – 5:00 PM

Abstract: Model Predictive Control (MPC) algorithms provide a convenient entry point for machine learning methods as they are built around a system model. Furthermore, these types of constrained control algorithms are robust, well suited for Multiple-Input Multiple-Output (MIMO) Systems and Nonlinear Systems. In this talk we will discuss fundamental concepts of MPC and how the model component can be used to leverage Artificial Intelligence (AI)

Speaker(s): Meaghan Charest-Finn, PhD

Register: https://events.vtools.ieee.org/m/317037