Researchers adapt model predictive control from engineering to epidemic response, balancing health and economic costs under ...

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 ...

By Andrew Masuda, UCSB UC Santa Barbara professor James B. Rawlingshas been named the 2025 recipient of the Richard E. Bellman Control Heritage Award, the nation’s top recognition for career ...

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 ...