Results 11 to 20 of about 519,710 (307)
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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Linear identification of nonlinear systems: A lifting technique based on the Koopman operator [PDF]
, 2016 We exploit the key idea that nonlinear system identification is equivalent to linear identification of the socalled Koopman operator. Instead of considering nonlinear system identification in the state space, we obtain a novel linear identification ...
Goncalves, Jorge, Mauroy, Alexandre
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Modelling Free Response of a Solar Plant for Predictive Control [PDF]
, 1997 IFAC System Identification, Kitakyushu, Fukuoka,Japan,1997This paper deals with the identification of a nonlinear plant by means of a neural network (NN) modelling approximation. The problem of neural identification is tackled using a static NN in a NARX
Berenguel Soria, Manuel +2 more
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, 1947 This paper considers identification of unknown parameters in elastic dynamic models of industrial robots. Identifying such models is a challenging task since an industrial robot is a multivariable, nonlinear, resonant, and unstable system.
Moberg, Stig, Wernholt, Erik
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Nonlinear system modeling and identification using Volterra‐PARAFAC models [PDF]
International Journal of Adaptive Control and Signal Processing, 2011 SUMMARYDiscrete‐time Volterra models are widely used in various application areas. Their usefulness is mainly because of their ability to approximate to an arbitrary precision any fading memory nonlinear system and to their property of linearity with respect to parameters, the kernels coefficients.
Favier, Gérard +2 more
openaire +4 more sources
Dynamic modeling and identification of the Uniovi structure
International Journal for Simulation and Multidisciplinary Design Optimization, 2014 The nonlinear modeling and identification of a four-storey steel frame is presented in this paper. The bending modes of the frame were experimentally isolated by a single-point mono-harmonic excitation and used for identification purposes.
Zapico-Valle José Luis +1 more
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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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Identification of time-varying systems using multiresolution wavelet models [PDF]
, 2001 Identification of linear and nonlinear time-varying systems is investigated and a new wavelet model identification algorithm is introduced. By expanding each time-varying coefficient using a multiresolution wavelet expansion, the time-varying problem is ...
Billings, S.A., Wei, H.L.
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The wavelet-NARMAX representation : a hybrid model structure combining polynomial models with multiresolution wavelet decompositions [PDF]
, 2005 A new hybrid model structure combing polynomial models with multiresolution wavelet decompositions is introduced for nonlinear system identification.
Billings SA +25 more
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Evolving Fuzzy Model Identification of Nonlinear Wiener-Hammerstein Processes
IEEE Access, 2021 This paper presents a new approach to neuro-fuzzy model identification based on a filtered recursive least squares method combined with an incrementally evolving Gaussian clustering method. The proposed identification algorithm generates the model on the
Goran Andonovski +2 more
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