BME 683 Physiological Modeling and Model Predictive Control

Credits: 3
This course will teach students the core principals of modeling of physicologic processes and then teach how to use these models within a model-predictive control framework. Models of physiology can be used to improve our understanding of a system and for educational purposes and as a means to support clinical processes. Model predictive control (MPC) is a method for controlling systems based on prior knowledge about the process being controlled and using a horizon of predicted responses of the process to determine optimal input control parameters. This class will provide an introduction to modeling of physiologic processes.

Graded: A-F
May be taken only once for credit