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 ...

Learn to apply control systems in automotive, energy, aerospace, robotics, and manufacturing sectors. Apply feedback control laws to stabilize systems and achieve performance goals. Control systems ...

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 ...

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 ...

Optimal control theory for differential equations is a pivotal discipline that combines rigorous mathematical analysis with practical applications in engineering, economics, and the natural sciences.

"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 ...

A University of Texas 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 available ...

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 ...