MIMO Temperature Control System Design

Research Topic: Data-Driven Design of Control Systems with Multiple Controllers

In control system design, deriving a mathematical model of the plant and designing a controller based on that model is a common approach.

Such models can be obtained through first-principle modeling or system identification using input-output data.

However, for complex systems such as MIMO temperature control systems, constructing an accurate model can be difficult.

Therefore, data-driven control methods have been proposed, which design controllers directly from data without explicit modeling.

This research focuses on extending data-driven control to systems with multiple controllers.

In particular, we propose an extension of the E-FRIT method and demonstrate its effectiveness through numerical examples.