Zeyu Li

Thesis Title

Data-Driven Iterative Learning Control Framework with Practical Considerations

Research overview

Iterative learning control (ILC) is an effective control method for tracking tasks in a repetitive environment. Norm optimal ILC, as an important branch, is developed for years to achieve a high precision tracking and some additional objectives. These methods, however, rely on the knowledge of system model. In this project, a data-driven approach is provided with considering some practical issues (e.g. constrains, convergence speed).

Supervisors

Prof Ying Tan

Prof Denny Oetomo

Qualifications

M.Eng. Electrical Engineering, The University of Melbourne, Australia (2018)

B.Eng. Electrical Engineering, Taiyuan University of Technology, China(2015)