System Identification is a fundamental phase of an automated system’s life-cycle, as most system’s tasks (regulatory control, MPC, contingency managing, etc) rely on an accurate models. System Identification can be a very costly procedure for complex systems, thus its efficient and reliable implementation in dedicated HW/SW platforms has a huge potential to contribute to the performance improvement of automation systems. A TCC (final undergraduate project) in Electrical/Computer Engineering or in Control/Automation Engineering would consist of the robust numerical implementation of one or more among the various SI methods (Iterative Least-Squares, Extended Least-Squares, Box-Jenkins modeling) in one of various platforms, such as dedicated microcontrollers, DSP processors or FPGA.
Contact Prof. Lucíola by email (luciola@ece.ufrgs.br) or in person to discuss your TCC.
