Webinar Details
This webinar presents recent advances in control, observation, and identification algorithms based on higher-order sliding modes, with particular emphasis on the PID-like controller framework. The proposed methods are experimentally validated using the 3 DOF Helicopter, demonstrating robustness and performance improvements.
Additionally, the adaptation of sliding mode algorithms through barrier functions is discussed, with validation on the Quanser 2 DOF Ball Balancer. These results highlight the practical applicability of advanced sliding mode techniques in real-world educational and research platforms.
Presenter’s Bio
Dr. Leonid Fridman
Dr. Leonid Fridman is a leading researcher in control theory, recognized for his contributions to sliding mode control and robust systems. He is a Professor at the National Autonomous University of Mexico (UNAM).
M.Eng. Andrés González
Andrés González received his bachelor’s Degree in Electromechanical Engineering and his M. Eng. Degree in Mechatronic Engineering from the Tecnológico Nacional de México
Chihuahua is currently a Ph.D. candidate at UNAM, focusing on adaptive sliding mode control.
M.Eng. Matías Iglesias
Matías Iglesias received his degree in Mechatronics Engineering and his M.Eng. in Electrical Engineering from UNAM, where he is currently a Ph.D. candidate. His research interests include nonlinear and robust control, with emphasis on sliding-mode control in electromechanical systems and chattering reduction methods.
Webinar Registration
Please note that your information is saved on our server as you enter it.
