Title :
Unfalsified PID Controller Design with Adaptive Criterion Adjustment via Support Vector Machine and Gap Metric
Author :
Kawanishi, Michihiro ; Ukibune, Masanori
Author_Institution :
Dept. of Mech. Eng., Kobe Univ.
Abstract :
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
Keywords :
adaptive control; control system synthesis; support vector machines; three-term control; SVM; adaptive criterion adjustment; data-based PID controller design; gap metric; support vector machine; unfalsified control technique; Adaptive control; Design methodology; Integrated circuit modeling; Iterative methods; Magnetic levitation; Mechanical engineering; Programmable control; Support vector machine classification; Support vector machines; Three-term control; PID; Support Vector Machine; Unfalsified Control;
Conference_Titel :
SICE-ICASE, 2006. International Joint Conference
Conference_Location :
Busan
Print_ISBN :
89-950038-4-7
Electronic_ISBN :
89-950038-5-5
DOI :
10.1109/SICE.2006.315001
