Evolving intelligent system for the modelling of nonlinear systems with dead-zone input
暂无分享,去创建一个
[1] Plamen P. Angelov,et al. Fuzzily Connected Multimodel Systems Evolving Autonomously From Data Streams , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[2] Paramasivan Saratchandran,et al. Sequential Adaptive Fuzzy Inference System (SAFIS) for nonlinear system identification and prediction , 2006, Fuzzy Sets Syst..
[3] Wei Wu,et al. Boundedness and convergence of batch back-propagation algorithm with penalty for feedforward neural networks , 2012, Neurocomputing.
[4] S. Tong,et al. Adaptive fuzzy output feedback control of uncertain nonlinear systems with nonsymmetric dead-zone input , 2011 .
[5] Yong Huang,et al. Convergence Study in Extended Kalman Filter-Based Training of Recurrent Neural Networks , 2011, IEEE Transactions on Neural Networks.
[6] Walmir M. Caminhas,et al. Multivariable Gaussian Evolving Fuzzy Modeling System , 2011, IEEE Transactions on Fuzzy Systems.
[7] N. Sundararajan,et al. Extended sequential adaptive fuzzy inference system for classification problems , 2011, Evol. Syst..
[8] Choon Ki Ahn,et al. Takagi–Sugeno Fuzzy Hopfield Neural Networks for $${\mathcal{H}_{\infty}}$$ Nonlinear System Identification , 2011, Neural Processing Letters.
[9] Kumpati S. Narendra,et al. Identification and control of dynamical systems using neural networks , 1990, IEEE Trans. Neural Networks.
[10] Qinmin Yang,et al. Reinforcement Learning Controller Design for Affine Nonlinear Discrete-Time Systems using Online Approximators , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[11] Chun-Yi Su,et al. Adaptive tracking of nonlinear systems with non-symmetric dead-zone input , 2007, Autom..
[12] Cuntai Guan,et al. SaFIN: A Self-Adaptive Fuzzy Inference Network , 2011, IEEE Transactions on Neural Networks.
[13] Xuemei Ren,et al. Identification of Extended Hammerstein Systems Using Dynamic Self-Optimizing Neural Networks , 2011, IEEE Transactions on Neural Networks.
[14] Maricela Figueroa,et al. Geometric approach and structure at infinity controls for the disturbance rejection , 2012 .
[15] Plamen Angelov,et al. Stability Analysis for an Online Evolving NeuroFuzzy Recurrent Network , 2010 .
[16] Andrzej Bargiela,et al. An Optimization of Allocation of Information Granularity in the Interpretation of Data Structures: Toward Granular Fuzzy Clustering , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[17] Li-Xin Wang,et al. A Course In Fuzzy Systems and Control , 1996 .
[18] Marios M. Polycarpou,et al. High-order neural network structures for identification of dynamical systems , 1995, IEEE Trans. Neural Networks.
[19] Dejan Dovzan,et al. Recursive clustering based on a Gustafson–Kessel algorithm , 2011, Evol. Syst..
[20] Graham Kendall,et al. Throughput Maximization of Queueing Networks with Simultaneous Minimization of Service Rates and Buffers , 2012 .
[21] E. Lughofer,et al. Evolving fuzzy classifiers using different model architectures , 2008, Fuzzy Sets Syst..
[22] Wen Yu,et al. Recurrent Neural Networks Training With Stable Bounding Ellipsoid Algorithm , 2009, IEEE Transactions on Neural Networks.
[23] Abdelhamid Bouchachia,et al. A hybrid ensemble approach for the Steiner tree problem in large graphs: A geographical application , 2011, Appl. Soft Comput..
[24] K S Narendra,et al. IDENTIFICATION AND CONTROL OF DYNAMIC SYSTEMS USING NEURAL NETWORKS , 1990 .
[25] Plamen P. Angelov,et al. Uniformly Stable Backpropagation Algorithm to Train a Feedforward Neural Network , 2011, IEEE Transactions on Neural Networks.
[26] Jing Zhou,et al. Robust adaptive control of nonlinear uncertain plants with unknown dead-zone , 2007 .
[27] Igor Skrjanc,et al. Recursive fuzzy c-means clustering for recursive fuzzy identification of time-varying processes. , 2011, ISA transactions.
[28] Choon Ki Ahn,et al. Exponential H∞ stable learning method for Takagi-Sugeno fuzzy delayed neural networks: A convex optimization approach , 2012, Comput. Math. Appl..
[29] Shuzhi Sam Ge,et al. Adaptive Neural Network Tracking Control of MIMO Nonlinear Systems With Unknown Dead Zones and Control Directions , 2009, IEEE Transactions on Neural Networks.
[30] José de Jesús Rubio,et al. Dynamic model with sensor and actuator for an articulated robotic arm , 2012, Neural Computing and Applications.
[31] S. Hyakin,et al. Neural Networks: A Comprehensive Foundation , 1994 .
[32] Edwin Lughofer,et al. Single-pass active learning with conflict and ignorance , 2012, Evolving Systems.
[33] Plamen P. Angelov,et al. Adaptive Inferential Sensors Based on Evolving Fuzzy Models , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[34] Yong Zhang,et al. Neural adaptive control for a class of nonlinear systems with unknown deadzone , 2008, Neural Computing and Applications.
[35] J. Humberto Pérez-Cruz,et al. Robust Adaptive Neurocontrol of SISO Nonlinear Systems Preceded by Unknown Deadzone , 2012 .
[36] J. Humberto Pérez-Cruz,et al. Tracking Control Based on Recurrent Neural Networks for Nonlinear Systems with Multiple Inputs and U , 2012 .
[37] N. Zhou,et al. Observer-based adaptive fuzzy-neural control for a class of uncertain nonlinear systems with unknown dead-zone input. , 2010, ISA transactions.
[38] Stephen A. Billings,et al. A New Adaptive Fast Cellular Automaton Neighborhood Detection and Rule Identification Algorithm , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[39] Plamen P. Angelov,et al. Handling drifts and shifts in on-line data streams with evolving fuzzy systems , 2011, Appl. Soft Comput..
[40] Moamar Sayed Mouchaweh,et al. A semi-supervised dynamic version of Fuzzy K-Nearest Neighbours to monitor evolving systems , 2010, Evol. Syst..
[41] José de Jesús Rubio,et al. Mathematical model with sensor and actuator for a transelevator , 2014, Neural Computing and Applications.
[42] Frank L. Lewis,et al. Reinforcement Learning for Partially Observable Dynamic Processes: Adaptive Dynamic Programming Using Measured Output Data , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[43] Fernando A. C. Gomide,et al. Evolving fuzzy systems for pricing fixed income options , 2011, 2011 IEEE Workshop on Evolving and Adaptive Intelligent Systems (EAIS).
[44] Chia-Feng Juang,et al. Speedup of Implementing Fuzzy Neural Networks With High-Dimensional Inputs Through Parallel Processing on Graphic Processing Units , 2011, IEEE Transactions on Fuzzy Systems.
[45] Babak Nadjar Araabi,et al. Recursive Gath-Geva clustering as a basis for evolving neuro-fuzzy modeling , 2010, International Conference on Fuzzy Systems.
[46] Babak Nadjar Araabi,et al. Recursive Gath–Geva clustering as a basis for evolving neuro-fuzzy modeling , 2010, Evol. Syst..
[47] Chun-Yi Su,et al. Robust adaptive control of a class of nonlinear systems with unknown dead-zone , 2004, Autom..
[48] Shuzhi Sam Ge,et al. Adaptive dynamic surface control of nonlinear systems with unknown dead zone in pure feedback form , 2008, Autom..
[49] Graham C. Goodwin,et al. Adaptive filtering prediction and control , 1984 .
[50] Abdelhamid Bouchachia,et al. Incremental learning with multi-level adaptation , 2011, Neurocomputing.
[51] Wen Yu,et al. Nonlinear system identification with recurrent neural networks and dead-zone Kalman filter algorithm , 2007, Neurocomputing.
[52] Jose de Jesus Rubio,et al. Modified optimal control with a backpropagation network for robotic arms , 2012 .
[53] Daniel F. Leite,et al. Evolving fuzzy granular modeling from nonstationary fuzzy data streams , 2012, Evol. Syst..
[54] Frank L. Lewis,et al. Distributed Adaptive Tracking Control for Synchronization of Unknown Networked Lagrangian Systems , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[55] Dejan Dovzan,et al. Solving the sales prediction problem with fuzzy evolving methods , 2012, 2012 IEEE Congress on Evolutionary Computation.
[56] José de Jesús Rubio,et al. Backpropagation to train an evolving radial basis function neural network , 2010, Evol. Syst..
[57] Cuntai Guan,et al. Traffic modeling and identification using a Self-adaptive Fuzzy Inference Network , 2012, IEEE International Joint Conference on Neural Network.
[58] Edwin Lughofer. A dynamic split-and-merge approach for evolving cluster models , 2012, Evol. Syst..
[59] Gang Tao,et al. Adaptive Control of Plants with Unknown Dead-zones , 1992, 1992 American Control Conference.
[60] Plamen P. Angelov,et al. Creating Evolving User Behavior Profiles Automatically , 2012, IEEE Transactions on Knowledge and Data Engineering.
[61] Wen Yu,et al. Stability Analysis of Nonlinear System Identification via Delayed Neural Networks , 2007, IEEE Transactions on Circuits and Systems II: Express Briefs.