類似度に基づくデータベース駆動型制御系の一設計

抄録

In the database-driven control scheme, the fixed number of neighbors' data is selected to calculate controller parameters. Therefore, the inappropriate neighbors' data are occasionally chosen when query is not included in the database. In this study, the database-driven control scheme using a kernel density estimation is newly proposed. The kernel density estimation can calculate the similarity between the query and database. According to the proposed scheme, it is possible to calculate the degree of abnormality based on the aforementioned similarity. The effectiveness of the control scheme is numerically evaluated by a numerical example.