Data-Driven Control Systems

Model-based control system design has been the dominant control system education and design paradigm. Nearly all courses in control theory deal with different aspects of model-based analysis and design techniques. Data-based control is a more general term in that controllers are designed without directly using parametric models, but based on knowledge of the plant input-output data.

MIMO Control Systems Course

Multivariable Control Systems

MIMO control systems offer a powerful approach to handling complex control problems with multiple inputs and outputs. They provide increased flexibility, improved performance, and better system behavior compared to SISO systems, making them an essential tool in modern control engineering.

MIMO Control Systems Course

System Identification

System identification is a field of study in control engineering that focuses on the process of determining mathematical models or descriptions of dynamic systems based on observed input-output data. The goal of system identification is to extract information about the underlying system dynamics, such as the transfer function, state-space representation, or other mathematical models that accurately capture the system’s behavior.

Instructed by

Dr. Mahdi Aliyari

System Identification course

Model Predictive Control

MPC is a model-based control strategy that relies on an accurate mathematical model of the system to make predictions and optimize control actions over a finite time horizon. MPC is particularly effective in situations where there are constraints on the system outputs, inputs, or states.

MPC System

Game Theory

The power of game theory at modeling a wide variety of situations such as Simultaneous games, Sequential games, Cooperative games, Non-cooperative games, Static games, Dynamic games, Stochastic games, etc, made it applicable to different fields of science like Engineering, Politics, Economics and Computer Science.

game theory course