An Experience of Using LMI Technique in Student Projects*

LMI technique is very popular in modern control theory and applications due to powerful LMI solvers (such as SeDuMi, CSDP, SDPA) and efficient interfaces provided by YALMIP parser. Generally, these tools are MATLAB-based software. In addition, there exist free SCILAB-based and NSP-based versions, SCIYALMIP and NSPYALMIP, possessing limited functionality in comparison with their MATLAB-based counterparts. The stated facts represent a serious motivation for embedding LMI-based approaches in control education programs for bachelor's and master's degrees. In this paper, we present our experience of using LMI technique and software in student projects.