Robust adaptive control for nonlinear uncertain systems using type-2 fuzzy neural network system
暂无分享,去创建一个
[1] J. Mendel. Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions , 2001 .
[2] Lotfi A. Zadeh,et al. The concept of a linguistic variable and its application to approximate reasoning-III , 1975, Inf. Sci..
[3] Lotfi A. Zadeh,et al. The Concepts of a Linguistic Variable and its Application to Approximate Reasoning , 1975 .
[4] Jerry M. Mendel,et al. Interval type-2 fuzzy logic systems , 2000, Ninth IEEE International Conference on Fuzzy Systems. FUZZ- IEEE 2000 (Cat. No.00CH37063).
[5] Shixin Cheng,et al. Dynamic learning rate optimization of the backpropagation algorithm , 1995, IEEE Trans. Neural Networks.
[6] Jerry M. Mendel,et al. Advances in type-2 fuzzy sets and systems , 2007, Inf. Sci..
[7] Yu-Ching Lin,et al. An Adaptive Type-2 Fuzzy Neural Controller for Nonlinear Uncertain Systems , 2005, Control. Intell. Syst..
[8] Ching-Hung Lee,et al. Identification and control of dynamic systems using recurrent fuzzy neural networks , 2000, IEEE Trans. Fuzzy Syst..
[9] Kurt Hornik,et al. Convergence of learning algorithms with constant learning rates , 1991, IEEE Trans. Neural Networks.
[10] Shaocheng Tong,et al. Fuzzy adaptive sliding-mode control for MIMO nonlinear systems , 2003, IEEE Trans. Fuzzy Syst..
[11] Chi-Hsu Wang,et al. Dynamical optimal training for interval type-2 fuzzy neural network (T2FNN) , 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).
[12] O. Castillo,et al. Evolutionary computing for optimizing type-2 fuzzy systems in intelligent control of non-linear dynamic plants , 2005, NAFIPS 2005 - 2005 Annual Meeting of the North American Fuzzy Information Processing Society.
[13] Shaocheng Tong,et al. Observer-based adaptive fuzzy control for SISO nonlinear systems , 2004, Fuzzy Sets Syst..
[14] Yie-Chien Chen,et al. A model reference control structure using a fuzzy neural network , 1995 .
[15] Guanrong Chen,et al. On feedback control of chaotic continuous-time systems , 1993 .
[16] Oscar Castillo,et al. Type-2 Fuzzy Logic , 2007 .
[17] Jerry M. Mendel,et al. Computing derivatives in interval type-2 fuzzy logic systems , 2004, IEEE Transactions on Fuzzy Systems.
[18] Oscar Castillo,et al. Adaptive noise cancellation using type-2 fuzzy logic and neural networks , 2004, 2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542).
[19] Guanrong Chen,et al. Identification and control of chaotic systems: an artificial neural network approach , 1995, Proceedings of ISCAS'95 - International Symposium on Circuits and Systems.
[20] Arjen van Ooyen,et al. Improving the convergence of the back-propagation algorithm , 1992, Neural Networks.
[21] Jerry M. Mendel,et al. Type-2 fuzzy sets made simple , 2002, IEEE Trans. Fuzzy Syst..
[22] Oscar Castillo,et al. A NEW APPROACH FOR PLANT MONITORING USING TYPE-2 FUZZY LOGIC AND FRACTAL THEORY , 2002 .
[23] Ching-Hung Lee,et al. Stabilization of nonlinear nonminimum phase systems: adaptive parallel approach using recurrent fuzzy neural network , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[24] Chin-Teng Lin,et al. Neural fuzzy systems , 1994 .
[25] Shaocheng Tong,et al. A hybrid adaptive fuzzy control for a class of nonlinear MIMO systems , 2003, IEEE Trans. Fuzzy Syst..
[26] Rong-Jong Wai,et al. Hybrid supervisory control using recurrent fuzzy neural network for tracking periodic inputs , 2001, IEEE Trans. Neural Networks.
[27] Witold Pedrycz,et al. Type-2 Fuzzy Logic: Theory and Applications , 2007, 2007 IEEE International Conference on Granular Computing (GRC 2007).