Nonlinear system identification

System identification is a method of identifying or measuring the mathematical model of a system from measurements of the system inputs and outputs… (More)
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Highly Cited
2012
Highly Cited
2012
The paper discusses application of Genetic Programming Algorithm - Evolutionary Strategy (GPA-ES) algorithm to symbolic… (More)
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Highly Cited
2006
Highly Cited
2006
In this paper, a Sequential Adaptive Fuzzy Inference System called SAFIS is developed based on the functional equivalence between… (More)
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Highly Cited
2005
Highly Cited
2005
A new class of wavelet networks (WNs) is proposed for nonlinear system identification. In the new networks, the model structure… (More)
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Highly Cited
2005
Highly Cited
2005
A general framework for estimating nonlinear functions and systems is described and analyzed in this paper. Identification of a… (More)
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Highly Cited
2004
Highly Cited
2004
We present a coevolutionary algorithm for inferring the topology and parameters of a wide range of hidden nonlinear systems with… (More)
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Highly Cited
2003
Highly Cited
2003
Find the secret to improve the quality of life by reading this nonlinear system identification using neural networks. This is a… (More)
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Highly Cited
2002
Highly Cited
2002
A computationally efficient artificial neural network (ANN) for the purpose of dynamic nonlinear system identification is… (More)
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Highly Cited
2001
Highly Cited
2001
The present bibliography represents a comprehensive list of references on nonlinear system identification and its applications in… (More)
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Highly Cited
2000
Highly Cited
2000
The Extended Kalman Filter (EKF) has become a standard technique used in a number of nonlinear estimation and machine learning… (More)
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Highly Cited
1999
Highly Cited
1999
We have presented an alternate ANN structure called functional link ANN (FLANN) for nonlinear dynamic system identification using… (More)
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