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Filbo, E.L.V.C., et al. A fuzzy logic controller for the active control of rotor vibration using an active magnetic bearing as an actuator. in ABCM Symposium Series in Mechatronics. (2012).
Nagi, F.H., J.I. Inayat-Hussain, and S.K. Ahmed, Fuzzy bang-bang relay control of a singleaxis active magnetic bearing system. Simulation Modelling Practice and Theory, 2009. 17(10): pp.1734-1747.
Chen, K. -Y., et al., A self-tuning fuzzy PID-type controller design for unbalance compensation in an active magnetic bearing. Expert Systems with Applications, 2009. 36(4): pp.8560-8570.
Tung, P. -C., et al., Design of model-based unbalance compensator with fuzzy gain tuning mechanism for an active magnetic bearing system. Expert Systems with Applications, 2011. 38(10): pp.12861-12868.
Couzon, P.Y. and J. Der Hagopian, Neuro-fuzzy Active Control of Rotor Suspended on Active Magnetic Bearing. Journal of Vibration and Control, 2007. 13(4): pp.365-384.
Gong, X. and D. Cao, Fuzzy proportional-integral-derivative control of an overhang rotor with double discs based on the active tilting pad journal bearing. Journal of Vibration and Control, (2012).
Koroishi, E.H., V. Steffen, and J. Mahfoud, Fuzzy Control of Rotor System Using an Electromagnetic Actuator. MATEC Web of Conferences, 2012. 1: p.09003.
Borges, J.M., et al., Rotor-bearing vibration control system based on fuzzy controller and smart actuators. International Journal of Multiphysics, 2013. 7(3): pp.197-205.
Li, W., P. Maißer, and H. Enge, Self-learning control applied to vibration control of a rotating spindle by piezopusher bearings. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 2004: p.218.
Lim, S., S. -M. Park, and K. -I. Kim, AI vibration control of high-speed rotor systems using electrorheological fluid. Journal of Sound and Vibration, 2005. 284(3-5): pp.685-703.
Tammi, K., J. Hatonen, and S. Daley, Novel Adaptive Repetitive Algorithm for Active Vibration Control of a Variable-Speed Rotor. Journal of Mechanical Science and Technology, 2007. 21: pp.855-859.
Tammi, K., Gradient-Based Repetitive Learning Control for Rotor Vibration Control. International Journal of Intelligent Control and Systems, 2008. 13: pp.222-232.
Buttini, T.M. and R. Nicoletti, Self-Identification Algorithm for the Autonomous Control of Lateral Vibration in Flexible Rotors. International Journal of Rotating Machinery, 2012. 2012: pp.1-13.
Rosyid, A., Vibration Intelligent Control of a Reduced-order Finite Element Model of a Rotor - Journal Bearing System. Mechanical Engineering Department, King Saud University, Riyadh, 2014. pp.9-54.
Jang, J. -S.R., ANFIS: Adaptive-Network-Based Fuzzy Inference System. IEEE Transactions on Systems, Man, and Cybernetics, 1993. 23(3).
Jang, J. -S.R., C. -T. Sun, and E. Mizutani, ANFIS: Adaptive Neuro-Fuzzy Inference Systems, in Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence1997, Prentice Hall: New Jersey, USA. pp.335-363.