< Back to previous page


Multi-system learning control for interconnected mechatronic systems

Learning techniques are used to improve the performance of systems that execute the same or similar operations over and over again. They often suffer from slow convergence. The new trend of interconnecting mechatronic systems offers new ways to improve these learning algorithms: instead of learning per machine, learning can be done for multiple systems in parallel by sharing information, resulting in an overall learning algorithm which is more efficient and more effective.

Date:6 Sep 2018 →  6 Sep 2022
Keywords:Learning control, Mechatronic systems
Disciplines:Manufacturing engineering, Other mechanical and manufacturing engineering, Product development, Control systems, robotics and automation, Design theories and methods, Mechatronics and robotics, Computer theory
Project type:PhD project