Data-Driven Iterative Learning Control Framework with Practical Considerations
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).
M.Eng. Electrical Engineering, The University of Melbourne, Australia (2018)
B.Eng. Electrical Engineering, Taiyuan University of Technology, China(2015)