Nonlinear system identification based on Takagi-Sugeno fuzzy modeling and unscented Kalman filter.

[1]  Eric A. Wan,et al.  Dual Kalman Filtering Methods for Nonlinear Prediction, Smoothing and Estimation , 1996, NIPS.

[2]  Luigi Piroddi,et al.  Nonlinear identification and control of a heat exchanger: a neural network approach , 1997 .

[3]  Dan Simon,et al.  Training fuzzy systems with the extended Kalman filter , 2002, Fuzzy Sets Syst..

[4]  Dan Simon Kalman filtering for fuzzy discrete time dynamic systems , 2003, Appl. Soft Comput..

[5]  S. Soliman,et al.  Fuzzy short-term electric load forecasting using Kalman filter , 2006 .

[6]  M.M. Arefi,et al.  Nonlinear Model Predictive Control of Chemical Processes with a Wiener Identification Approach , 2006, 2006 IEEE International Conference on Industrial Technology.

[7]  Dan Simon,et al.  Optimal State Estimation: Kalman, H∞, and Nonlinear Approaches , 2006 .

[8]  Kheireddine Chafaa,et al.  Fuzzy modelling using Kalman filter , 2007 .

[9]  Javad Poshtan,et al.  Wiener-neural identification and predictive control of a more realistic plug-flow tubular reactor , 2008 .

[10]  Mojtaba Ahmadieh Khanesar,et al.  Identification using ANFIS with intelligent hybrid stable learning algorithm approaches and stability analysis of training methods , 2009, Appl. Soft Comput..

[11]  Edwin Lughofer,et al.  SparseFIS: Data-Driven Learning of Fuzzy Systems With Sparsity Constraints , 2010, IEEE Transactions on Fuzzy Systems.

[12]  Hooshang Jazayeri-Rad,et al.  Applying a dual extended Kalman filter for the nonlinear state and parameter estimations of a continuous stirred tank reactor , 2011, Comput. Chem. Eng..

[13]  Okyay Kaynak,et al.  A type-2 neuro-fuzzy system based on clustering and gradient techniques applied to system identification and channel equalization , 2011, Appl. Soft Comput..

[14]  Mojtaba Ahmadieh Khanesar,et al.  Extended Kalman Filter Based Learning Algorithm for Type-2 Fuzzy Logic Systems and Its Experimental Evaluation , 2012, IEEE Transactions on Industrial Electronics.

[15]  Amir Hossein Davaie Markazi,et al.  A new evolving compact optimised Takagi–Sugeno fuzzy model and its application to nonlinear system identification , 2012, Int. J. Syst. Sci..

[16]  A. Jiménez,et al.  Improvement of Takagi‐Sugeno fuzzy model for the estimation of nonlinear functions , 2012 .

[17]  Farrukh Nagi,et al.  RLF and TS fuzzy model identification of indoor thermal comfort based on PMV/PPD , 2012 .

[18]  Basil Mohammed Al-Hadithi,et al.  New methods for the estimation of Takagi–Sugeno model based extended Kalman filter and its applications to optimal control for nonlinear systems , 2012 .

[19]  Agustín Jiménez,et al.  A new approach to fuzzy estimation of Takagi-Sugeno model and its applications to optimal control for nonlinear systems , 2012, Appl. Soft Comput..

[20]  Bo Fu,et al.  T–S Fuzzy Model Identification With a Gravitational Search-Based Hyperplane Clustering Algorithm , 2012, IEEE Transactions on Fuzzy Systems.

[21]  Xiao-Jun Zeng,et al.  A simplified structure evolving method for Mamdani fuzzy system identification and its application to high-dimensional problems , 2013, Inf. Sci..

[22]  M. Valipour,et al.  Comparison of the ARMA, ARIMA, and the autoregressive artificial neural network models in forecasting the monthly inflow of Dez dam reservoir , 2013 .

[23]  Peter B. Luh,et al.  Hybrid Kalman Filters for Very Short-Term Load Forecasting and Prediction Interval Estimation , 2013, IEEE Transactions on Power Systems.

[24]  José Manuel Andújar Márquez,et al.  A general methodology for online TS fuzzy modeling by the extended Kalman filter , 2014, Appl. Soft Comput..

[25]  Plamen P. Angelov,et al.  DEC: Dynamically Evolving Clustering and Its Application to Structure Identification of Evolving Fuzzy Models , 2014, IEEE Transactions on Cybernetics.

[26]  Hong-Bin Shen,et al.  OptiFel: A Convergent Heterogeneous Particle Swarm Optimization Algorithm for Takagi–Sugeno Fuzzy Modeling , 2014, IEEE Transactions on Fuzzy Systems.

[27]  Behrouz Safarinejadian,et al.  Kalman Randomized Joint UKF Algorithm for Dual Estimation of States and Parameters in a Nonlinear System , 2015 .

[28]  Saeid Rastegar,et al.  A new approach for online T-S fuzzy identification and model predictive control of nonlinear systems , 2016 .

[29]  Mohammad Hassan Khooban,et al.  LMI-based stability analysis and robust controller design for a class of nonlinear chaotic power systems , 2016, J. Frankl. Inst..

[30]  Mohammad Hassan Asemani,et al.  A robust L1 controller design for continuous-time TS systems with persistent bounded disturbance and actuator saturation , 2016, Eng. Appl. Artif. Intell..

[31]  Taher Niknam,et al.  T-S fuzzy model predictive speed control of electrical vehicles. , 2016, ISA transactions.

[32]  Mohammad Hassan Khooban,et al.  The online parameter identification of chaotic behaviour in permanent magnet synchronous motor by Self-Adaptive Learning Bat-inspired algorithm , 2016 .

[33]  Tomislav Dragicevic,et al.  An optimal general type-2 fuzzy controller for Urban Traffic Network. , 2017, ISA transactions.

[34]  Mohammad Valipour,et al.  Selecting the best model to estimate potential evapotranspiration with respect to climate change and magnitudes of extreme events , 2017 .

[35]  M. Shasadeghi,et al.  More Relaxed Non-Quadratic Stabilization Conditions Using Ts Open Loop System and Control Law Properties , 2017 .

[36]  Behrouz Safarinejadian,et al.  Design of distributed sampled-data fuzzy controller for a class of non-linear hyperbolic PDE systems: input delay approach , 2017 .

[37]  Mohammad Hassan Khooban,et al.  State estimation strategy for fractional order systems with noises and multiple time delayed measurements , 2017 .

[38]  M. Rakhshan,et al.  Dynamic Model-Based Fuzzy Controller for Maximum Power Point Tracking of Photovoltaic Systems: A Linear Matrix Inequality Approach , 2017 .

[39]  M. Arefi,et al.  A fast iterative recursive least squares algorithm for Wiener model identification of highly nonlinear systems. , 2017, ISA transactions.