Dynamic TOPSIS fuzzy cerebellar model articulation controller for magnetic levitation system
Author:
Affiliation:
1. Department of Electrical Engineering, Yuan Ze University, Chung-Li, Taoyuan, Taiwan, R.O.C.
2. Department of Electrical Electronic and Mechanical Engineering, Lac Hong University, Bien Hoa, Dong Nai, Vietnam
Publisher
IOS Press
Subject
Artificial Intelligence,General Engineering,Statistics and Probability
Reference22 articles.
1. Integral variable-structure grey control for magnetic levitation system;Chiang;IEE Proceedings – Electric Power Applications,2006
2. Adaptive robust output-feedback control of a magnetic levitation system by K-filter approach;Yang;IEEE Transactions on Industrial Electronics,2008
3. Robust non-linear output-feedback control of a magnetic levitation system by k-filter approach;Yang;IET Control Theory & Applications,2009
4. Robust dynamic sliding-mode control using adaptive RENN for magnetic levitation system;Lin;IEEE Transactions on Neural Networks,2009
5. SoPC-based adaptive PID control system design for magnetic levitation system;Lin;IEEE Systems Journal,2011
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