Advanced Motion Control

Theoretical-practical course that contributes to expanding the skills of students towards the achievement of competencies in mechatronics engineering design and automation. This course aims to provide an overview of modern control techniques used in industrial processes, advanced control techniques and the likely future trends in control design.

Topics include system identification, modeling and compensation of disturbances, model-based and model-free controller design, stability of dynamical systems. Adaptive control. Extremum seeking. Linear Model Predictive Control, Nonlinear Model Predictive control, Sliding Mode Control, feedback linearization and Backstepping. Applications are drawn from robots, machine tools, production machines, and automotive systems. The course has lectures and recitations every week in labs theory and applications are emphasized.

Instructor:

Alexis Meneses

David Chávez