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 ...

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 ...

Imagine having a continuum soft robotic arm bend around a bunch of grapes or broccoli, adjusting its grip in real time as it ...

When it comes to training robots to perform agile, single-task motor skills, such as handstands or backflips, artificial intelligence methods can be very useful. But if you want to train your robot to ...

Welcome to the Dynamics and Control Systems Research Group at the Department of Mechanical Engineering, Santa Clara University. Our lab provides a stimulating environment for undergraduate and ...

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 ...

Joseph Juran was a pioneer in the study of quality control. His management theory has gained worldwide recognition in the science, engineering and mathematics fields. His “Juran’s Quality Control ...