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 ...

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 ...

Control theory is the study of how one can use feedback to modify the behavior of a system — such as a robot, vehicle, chemical or biological process, power grid, stock portfolio, or an ecosystem — so ...

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 ...

Brushless DC (BLDC) motors are standard fare in low-precision, speedy RC applications. The control schemes needed to run them slowly or precisely go deep into motor theory and might put these motors ...

"This is a rare example of a textbook that is concise yet clear, math dense yet very accessible, and rigorous yet beautifully written." • From Michael Hinczewski's review in The Biophysicist (July ...

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 ...