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Sequential backbone chemical shift assignments of a cancer-associated isoform of the HBx protein from human hepatitis B virus. [PDF]
Biomol NMR AssignClavier A +4 more
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On the influence of design parameters on the performance of the dielectric elastomer actuator with a permanent magnet. [PDF]
Sci RepBernat J +5 more
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Nest-founding paper wasps aggregate in "social leks" and decrease aggression during partner selection. [PDF]
Curr ZoolLaub EC +4 more
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A blind approach to the Hammerstein–Wiener model identification
Automatica, 2002The identification task of a sampled Hammerstein-Wiener model from input-output measurements is considered. A blind approach exploiting over-sampled output data is applied. The main idea of the approach is to recover the unavailable interaction signals based only on the polynomial inverse of the output nonlinearity and the output measurements. No prior
Er-Wei Bai
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Recursive identification of Hammerstein models
2014 American Control Conference, 2014The nonlinear Hammerstein model, which consists of a static nonlinear block followed by a linear dynamic block, is considered. A recursive prediction error algorithm is derived. The linear block is modelled as a single-input single-output transfer function, and the nonlinearity as a linear combination of basis functions.
Per Mattsson, Torbjörn Wigren
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Quasiconvexity analysis of the Hammerstein model
Automatica, 2014zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mohammad Rasouli 0002 +2 more
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System identification using Hammerstein model
2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014In literature, various linear and nonlinear model structures are defined to identify the systems. Linear models such as Finite Impulse Response (FIR), Infinite Impulse Response (IIR) and Autoregressive (AR) are used in the situations that the input-output relation is signified through linear equivalence.
Selcuk Mete, Saban Ozer, Hasan Zorlu
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Asymptotic properties of Hammerstein model estimates
Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187), 2002Considers the estimation of Hammerstein models. The main result of the paper lies in a specification of a set of sufficient conditions on the input sequence, the noise (and the true system) in order to ensure that a non-linear least-squares approach enjoys properties of consistency and asymptotic normality and furthermore, that an estimate of the ...
Bauer, Dietmar, Ninness, Brett
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Research on identification algorithm of Hammerstein model
2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), 2010This paper presents a parameter identification method of nonlinear Hammerstein model with two-segment piecewise nonlinearities. Its basic idea is that: First of all, expressing the output of the Hammerstein nonlinear models as a regressive equation in all parameters based on the key term separation principle and separating key term from linear block ...
Feng Wang +4 more
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Anti-causal identification of Hammerstein models
2009 European Control Conference (ECC), 2009Muscle response to Functional Electrical Stimulation (FES) is frequently modeled in Hammerstein form, which consists of a static nonlinearity followed by a linear transfer function. To identify these dynamics, mainly forward approaches are used. The advantage, provided that the nonlinearity and the dynamics are linear in the parameters, is that a ...
Heike Vallery +2 more
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