Stability Analysis for an Online Evolving NeuroFuzzy Recurrent Network

[1]  Chin-Teng Lin,et al.  An online self-constructing neural fuzzy inference network and its applications , 1998, IEEE Trans. Fuzzy Syst..

[2]  Jyh-Shing Roger Jang,et al.  ANFIS: adaptive-network-based fuzzy inference system , 1993, IEEE Trans. Syst. Man Cybern..

[3]  Babak Hassibi,et al.  Second Order Derivatives for Network Pruning: Optimal Brain Surgeon , 1992, NIPS.

[4]  T. Martin McGinnity,et al.  An approach for on-line extraction of fuzzy rules using a self-organising fuzzy neural network , 2005, Fuzzy Sets Syst..

[5]  Spyros G. Tzafestas,et al.  NeuroFAST: on-line neuro-fuzzy ART-based structure and parameter learning TSK model , 2001, IEEE Trans. Syst. Man Cybern. Part B.

[6]  J. De Jesús Rubio,et al.  A new discrete-time sliding-mode control with time-varying gain and neural identification , 2006 .

[7]  P. S. Sastry,et al.  Memory neuron networks for identification and control of dynamical systems , 1994, IEEE Trans. Neural Networks.

[8]  Plamen P. Angelov,et al.  Identification of evolving fuzzy rule-based models , 2002, IEEE Trans. Fuzzy Syst..

[9]  Marios M. Polycarpou,et al.  High-order neural network structures for identification of dynamical systems , 1995, IEEE Trans. Neural Networks.

[10]  Nikola K. Kasabov,et al.  DENFIS: dynamic evolving neural-fuzzy inference system and its application for time-series prediction , 2002, IEEE Trans. Fuzzy Syst..

[11]  Plamen P. Angelov,et al.  Simpl_eTS: a simplified method for learning evolving Takagi-Sugeno fuzzy models , 2005, The 14th IEEE International Conference on Fuzzy Systems, 2005. FUZZ '05..

[12]  Léon Personnaz,et al.  Neural-network construction and selection in nonlinear modeling , 2003, IEEE Trans. Neural Networks.

[13]  Nikola K. Kasabov,et al.  Evolving fuzzy neural networks for supervised/unsupervised online knowledge-based learning , 2001, IEEE Trans. Syst. Man Cybern. Part B.

[14]  Meng Joo Er,et al.  Dynamic fuzzy neural networks-a novel approach to function approximation , 2000, IEEE Trans. Syst. Man Cybern. Part B.

[15]  Wen Yu,et al.  Nonlinear system identification with recurrent neural networks and dead-zone Kalman filter algorithm , 2007, Neurocomputing.

[16]  Chin-Teng Lin,et al.  A recurrent self-organizing neural fuzzy inference network , 1999, IEEE Trans. Neural Networks.

[17]  Stephen L. Chiu,et al.  Fuzzy Model Identification Based on Cluster Estimation , 1994, J. Intell. Fuzzy Syst..

[18]  Chia-Feng Juang,et al.  A TSK-type recurrent fuzzy network for dynamic systems processing by neural network and genetic algorithms , 2002, IEEE Trans. Fuzzy Syst..

[19]  Amir F. Atiya,et al.  An algorithmic approach to adaptive state filtering using recurrent neural networks , 2001, IEEE Trans. Neural Networks.

[20]  Ronald R. Yager,et al.  Learning of Fuzzy Rules by Mountain Clustering , 1992 .

[21]  Meng Joo Er,et al.  A fast approach for automatic generation of fuzzy rules by generalized dynamic fuzzy neural networks , 2001, IEEE Trans. Fuzzy Syst..

[22]  Madasu Hanmandlu,et al.  Structure identification of generalized adaptive neuro-fuzzy inference systems , 2003, IEEE Trans. Fuzzy Syst..

[23]  Kumpati S. Narendra,et al.  Identification and control of dynamical systems using neural networks , 1990, IEEE Trans. Neural Networks.

[24]  Wen Yu,et al.  Dead-zone Kalman filter algorithm for recurrent neural networks , 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

[25]  John C. Platt.  A Resource-Allocating Network for Function Interpolation , 1991, Neural Computation.

[26]  D.P. Filev,et al.  An approach to online identification of Takagi-Sugeno fuzzy models , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[27]  Kumpati S. Narendra,et al.  Issues in the application of neural networks for tracking based on inverse control , 1999, IEEE Trans. Autom. Control..

[28]  George Cybenko,et al.  Approximation by superpositions of a sigmoidal function , 1992, Math. Control. Signals Syst..

[29]  Wen Yu,et al.  Fuzzy identification using fuzzy neural networks with stable learning algorithms , 2004 .