RFNN control for PMLSM drive via backstepping technique
暂无分享,去创建一个
[1] Weiping Li,et al. Applied Nonlinear Control , 1991 .
[2] Li-Xin Wang,et al. A Course In Fuzzy Systems and Control , 1996 .
[3] R. Fung,et al. Comparison of sliding-mode and fuzzy neural network control for motor-toggle servomechanism , 1998 .
[4] Nikola K. Kasabov,et al. HyFIS: adaptive neuro-fuzzy inference systems and their application to nonlinear dynamical systems , 1999, Neural Networks.
[5] Frank L. Lewis,et al. Multilayer neural-net robot controller with guaranteed tracking performance , 1996, IEEE Trans. Neural Networks.
[6] Masayuki Sanada,et al. Interior permanent magnet linear synchronous motor for high performance drives , 1996, IAS '96. Conference Record of the 1996 IEEE Industry Applications Conference Thirty-First IAS Annual Meeting.
[7] Chang Chieh Hang,et al. The min-max function differentiation and training of fuzzy neural networks , 1996, IEEE Trans. Neural Networks.
[8] Karl Johan Åström,et al. Adaptive Control , 1989, Embedded Digital Control with Microcontrollers.
[9] Rong-Jong Wai,et al. A supervisory fuzzy neural network control system for tracking periodic inputs , 1999, IEEE Trans. Fuzzy Syst..
[10] Chih-Hong Lin,et al. Incremental motion control of linear synchronous motor , 2002 .
[11] Kuo-Kai Shyu,et al. Nonlinear sliding-mode torque control with adaptive backstepping approach for induction motor drive , 1999, IEEE Trans. Ind. Electron..
[12] D.G. Taylor,et al. Nonlinear control of electric machines: an overview , 1994, IEEE Control Systems.
[13] Rong-Jong Wai,et al. Hybrid supervisory control using recurrent fuzzy neural network for tracking periodic inputs , 2001, IEEE Trans. Neural Networks.
[14] Faa-Jeng Lin,et al. Adaptive backstepping sliding mode control for linear induction motor drive , 2002 .
[15] Yih-Guang Leu,et al. Robust adaptive fuzzy-neural controllers for uncertain nonlinear systems , 1999, IEEE Trans. Robotics Autom..
[16] S. Sankaranarayanan,et al. Adaptive variable structure control and applications to friction compensation , 1997, Proceedings of the 36th IEEE Conference on Decision and Control.
[17] David L. Elliott,et al. Neural Systems for Control , 1997 .
[18] Miroslav Krstic,et al. Nonlinear and adaptive control de-sign , 1995 .
[19] Faa-Jeng Lin,et al. Robust control of linear synchronous motor servodrive using disturbance observer and recurrent neural network compensator , 2000 .
[20] Akira Sano,et al. Friction compensation strategy via smooth adaptive dynamic surface control , 1999, Proceedings of the 1999 IEEE International Conference on Control Applications (Cat. No.99CH36328).
[21] Niahn-Chung Shieh,et al. GA-Based Multiobjective PID Control for a Linear , 2003 .
[22] Abraham Kandel,et al. Compensatory neurofuzzy systems with fast learning algorithms , 1998, IEEE Trans. Neural Networks.
[23] Rong-Jong Wai,et al. Adaptive backstepping control using recurrent neural network for linear induction motor drive , 2002, IEEE Trans. Ind. Electron..
[24] Ion Boldea,et al. Linear electric actuators and generators , 1997, 1997 IEEE International Electric Machines and Drives Conference Record.
[25] Carl J. Kempf,et al. Disturbance observer and feedforward design for a high-speed direct-drive positioning table , 1999, IEEE Trans. Control. Syst. Technol..
[26] I. Boldea,et al. Linear Electric Actuators and Generators: Linear Electric Actuators and Generators , 1997 .
[27] Yih-Guang Leu,et al. Observer-based adaptive fuzzy-neural control for unknown nonlinear dynamical systems , 1999, IEEE Trans. Syst. Man Cybern. Part B.
[28] Faa-Jeng Lin,et al. Adaptive backstepping control for linear induction motor drive to track periodic references , 2000 .
[29] W.-S. Lin,et al. Neurofuzzy-model-following control of MIMO nonlinear systems , 1999 .