A new class of wavelet networks for nonlinear system identification [PDF]
, 2004 A new class of wavelet networks (WNs) is proposed for nonlinear system identification. In the new networks, the model structure for a high-dimensional system is chosen to be a superimposition of a number of functions with fewer variables.
Billings, S.A., Wei, H.L.
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Efficient hinging hyperplanes neural network and its application in nonlinear system identification [PDF]
at - Automatisierungstechnik, 2019 In this paper, the efficient hinging hyperplanes (EHH) neural network is proposed based on the model of hinging hyperplanes (HH). The EHH neural network is a distributed representation, the training of which involves solving several convex optimization ...
Jun Xu +5 more
semanticscholar +1 more source
Free-Decay Nonlinear System Identification via Mass-Change Scheme
Shock and Vibration, 2019 Methods for nonlinear system identification of structures generally require input-output measured data to estimate the nonlinear model, as a consequence of the noninvariance of the FRFs in nonlinear systems.
Dario Anastasio, Stefano Marchesiello
doaj +1 more source
Parameter identification of BIPT system using chaotic-enhanced fruit fly optimization algorithm [PDF]
, 2015 Bidirectional inductive power transfer (BIPT) system facilitates contactless power transfer between two sides and across an air-gap, through weak magnetic coupling.
Ahuja +31 more
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Past, present and future of nonlinear system identification in structural dynamics
Mechanical Systems and Signal Processing, 2006 G. Kerschen +3 more
semanticscholar +3 more sources
Analysis and Identification of Nonlinear Acoustic Damping in Miniature Loudspeakers
Applied Sciences, 2021 Nonlinear acoustic damping is a key nonlinearity in miniature loudspeakers when the air velocity is at a high amplitude. Measurement of nonlinear acoustic damping is beneficial for predicting and analyzing the performance of miniature loudspeakers ...
Jie Huang +3 more
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Symmetric Tensor Decomposition by an Iterative Eigendecomposition Algorithm [PDF]
, 2016 We present an iterative algorithm, called the symmetric tensor eigen-rank-one iterative decomposition (STEROID), for decomposing a symmetric tensor into a real linear combination of symmetric rank-1 unit-norm outer factors using only eigendecompositions ...
Batselier, Kim, Wong, Ngai
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System Identification of a Nonlinear Multivariable Steam Generator Power Plant Using Time Delay and Wavelet Neural Networks [PDF]
Journal of Intelligent Procedures in Electrical Technology, 2013 One of the most effective strategies for steam generator efficiency enhancement is to improve the control system. For such an improvement, it is essential to have an accurate model for the steam generator of power plant.
Laila Khalilzadeh Ganjali-khani +2 more
doaj
Robust Hammerstein Adaptive Filtering under Maximum Correntropy Criterion
Entropy, 2015 The maximum correntropy criterion (MCC) has recently been successfully applied to adaptive filtering. Adaptive algorithms under MCC show strong robustness against large outliers.
Zongze Wu +3 more
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Mathematics, 2022 Artificial neural networks (ANNs), one of the most important artificial intelligence techniques, are used extensively in modeling many types of problems. A successful training process is required to create effective models with ANN. An effective training
Ebubekir Kaya
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