Bioprocess Modeling and Control

Brief Description:

Most biological and processes are nonlinear systems with time delays. Effective process modeling and control strategies are needed. We are developing new methodologies for time delay system identification and predictive control. This involves theoretical development, computer simulation, and experimental validation. Applications include vision systems and food processes.

Objectives & Activities:

This research consists of multiple components. The objectives and activities of these components include:

Categorized as: