Unfalsified PID Controller Design using Support Vector Machine with Gap Metric and its Application

In this paper, we propose a data-based PID controller design method using unfalsified control technique with Support Vector Machine (SVM) and gap metric. SVM and gap metric are utilized for adjusting the weighting function of extended L2 gain criterion. The effectiveness of the proposed method is evaluated by experiments on a magnetic levitation system and an active magnetic bearing system.