Results 11 to 20 of about 1,097 (184)
Non-Canonical, Somatic-Dependent Vertical Transmission of Wolbachia in an Aphid. [PDF]
Environ Microbiol RepWe discovered a novel somatic‐associated Wolbachia transmission strategy in cedar bark aphids (Cinara cedri), contrasting with its typical maternal vertical transmission. This unique maternally retained somatic re‐acquisition strategy—a “piggybacking” on the highly efficient obligate symbiont transmission pathway—reveals diverse endosymbiont strategies
Nozaki T, Kobayashi Y, Shigenobu S.
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Nonparametric models for Hammerstein-Wiener and Wiener-Hammerstein system identification
IFAC-PapersOnLine, 2020 Abstract We propose a framework for modeling structured nonlinear systems using nonpara-metric Gaussian processes. In particular, we introduce a two-layer stochastic model of latent interconnected Gaussian processes suitable for modeling Hammerstein-Wiener and Wiener-Hammerstein cascades.
Risuleo, Riccardo Sven +1 more
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Complexity, 2020 Wiener, Hammerstein, and Wiener–Hammerstein structures are useful for modelling dynamic systems that exhibit a static type nonlinearity. Many methods to identify these systems can be found in the literature; however, choosing a method requires prior ...
J. Zambrano +3 more
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Decoupled Parameter Estimation Methods for Hammerstein Systems by Using Filtering Technique
IEEE Access, 2018 The implementation of parameter estimation of Hammerstein systems is much difficult due to the existing parameter products from the nonlinear block and the linear block. This paper directly decomposes the parameter coupling between the nonlinear part and
Dongqing Wang, Zhen Zhang, Bingqiang Xue
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Nonlinear Equalization of Hammerstein OFDM Systems [PDF]
IEEE Transactions on Signal Processing, 2014 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xia Hong 0001 +3 more
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Fuzzy Hammerstein Model of Nonlinear Plant
Nonlinear Analysis, 2008 This paper presents the synthesis and analysis of the enhanced predictive fuzzy Hammerstein model of the water tank system. Fuzzy Hammerstein model was compared with three other fuzzy models: the first was synthesized using Mamdani type rule base, the ...
R. Liutkevičius
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An Adaptive Nonlinear Filter for System Identification
EURASIP Journal on Advances in Signal Processing, 2009 The primary difficulty in the identification of Hammerstein nonlinear systems (a static memoryless nonlinear system in series with a dynamic linear system) is that the output of the nonlinear system (input to the linear system) is unknown.
Tokunbo Ogunfunmi, Ifiok J. Umoh
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Algorithms, 2015 The identification difficulties for a dual-rate Hammerstein system lie in two aspects. First, the identification model of the system contains the products of the parameters of the nonlinear block and the linear block, and a standard least squares method ...
Ying-Ying Wang +2 more
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Instrumental Variable-Based OMP Identification Algorithm for Hammerstein Systems
Complexity, 2018 Hammerstein systems are formed by a static nonlinear block followed by a dynamic linear block. To solve the parameterizing difficulty caused by parameter coupling between the nonlinear part and the linear part in a Hammerstein system, an instrumental ...
Shuo Zhang, Dongqing Wang, Yaru Yan
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Identification of Nonparametric Nonlinear Systems [PDF]
ITM Web of Conferences, 2019 Presently, a modelling and identification of nonlinear systems is proposed. This study is developed based on spectral approach. The proposed nonlinear system is nonparametric and can be described by Hammerstein models.
Benyassi Mohamed, Brouri Adil
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