Leila Bridgeman is steadily laying foundations for the software needed to precisely control the large, complex networks of ...

A new artificial intelligence breakthrough developed by researchers in the College of Engineering and Computer Science at ...

We have considerable expertise in MPC as a powerful tool for providing optimal control in dynamic environments, ensuring real-time performance and adaptability. Our work includes developing predictive ...

A University of Texas (UT) at Dallas professor applied robot control theory to enable powered prosthetics to dynamically respond to the wearer's environment and help amputees walk. In research ...

In today's era of rapid technological development, research and application in intelligent engineering and automation have become key areas in many universities. The School of Intelligent Engineering ...

The goal of controlling a system is to reach or retain stability. In control theory, stability is described with the Lyapunov stability criteria and mathematical models that set into relation the ...

This course provides the foundation for the analysis and implementation of feedback control systems. Design and tuning of PID and other linear controllers to meet time and frequency specifications are ...