Nonlinear black-box models in system identification: mathematical foundations

Rapid Design of Neural Networks for Time Series Prediction

IEEE Computational Science & Engineering

The Hammerstein–Wiener Model for Identification of Stochastic Systems

Automation and Remote Control

A Method of Dispersion Statistical Linearization of Nonlinear Stochastic Systems of the Hammerstein Class

Automation and Remote Control

Learning to Transform Time Series with a Few Examples

IEEE Transactions on Pattern Analysis and Machine Intelligence

Quick Training Algorithm for Extra Reduced Size Lattice-Ladder Multilayer Perceptrons

Informatica

Model selection approaches for non-linear system identification: a review

International Journal of Systems Science

Multi step ahead prediction of north and south hemisphere sun spots chaotic time series using focused time lagged recurrent neural network model

WSEAS Transactions on Information Science and Applications

Prediction of a Lorenz chaotic attractor using two-layer perceptron neural network

Applied Soft Computing

On local linearization of control systems

Journal of Dynamical and Control Systems

The development of a robust fuzzy inference mechanism

International Journal of Approximate Reasoning

Prediction of Mackey-glass Chaotic time series with effect of superimposed noise using FTLRNN model

ACST '08 Proceedings of the Fourth IASTED International Conference on Advances in Computer Science and Technology

Fuzzy identification method in nonlinear system based on G-K clustering algorithm

CCDC'09 Proceedings of the 21st annual international conference on Chinese Control and Decision Conference

A greedy approach to identification of piecewise affine models

HSCC'03 Proceedings of the 6th international conference on Hybrid systems: computation and control

Dynamic reconstruction of nonlinear v-i characteristic in electric arc furnaces using adaptive neuro-fuzzy rule-based networks

Applied Soft Computing

An adaptive wavelet neural network for spatio-temporal system identification

Neural Networks

Novel FTLRNN with gamma memory for short-term and long-term predictions of chaotic time series

Applied Computational Intelligence and Soft Computing

Identification of Hammerstein Systems with Quantized Observations

SIAM Journal on Control and Optimization

Wavelet support vector machines and its application for nonlinear system identification

ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II

Parametric and nonparametric curve fitting

Automatica (Journal of IFAC)

Unified Set Membership theory for identification, prediction and filtering of nonlinear systems

Automatica (Journal of IFAC)

Brief paper: Initializing Wiener-Hammerstein models based on partitioning of the best linear approximation

Automatica (Journal of IFAC)

Fault Detection and Isolation in Nonlinear Dynamic Systems: A Combined Input-Output and Local Approach

Automatica (Journal of IFAC)

On-board Component Fault Detection and Isolation Using the Statistical Local Approach

Automatica (Journal of IFAC)

Nonlinear adaptive control using neural networks and multiple models

Automatica (Journal of IFAC)

Inference of disjoint linear and nonlinear sub-domains of a nonlinear mapping

Automatica (Journal of IFAC)