Results 11 to 20 of about 861 (177)

Non-Canonical, Somatic-Dependent Vertical Transmission of Wolbachia in an Aphid. [PDF]

open access: yesEnviron Microbiol Rep
We 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.
europepmc   +2 more sources

Parameter Estimation Algorithms for Hammerstein Finite Impulse Response Moving Average Systems Using the Data Filtering Theory

open access: yesMathematics, 2022
This paper considers the parameter estimation problems of Hammerstein finite impulse response moving average (FIR–MA) systems. Based on the matrix transformation and the hierarchical identification principle, the Hammerstein FIR–MA system is recast into ...
Yan Ji, Jinde Cao
doaj   +1 more source

A Unified Approach for the Identification of Wiener, Hammerstein, and Wiener–Hammerstein Models by Using WH-EA and Multistep Signals

open access: yesComplexity, 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
doaj   +1 more source

An Over-Sampling Amplitude-Limited Variational Bayesian Method for the Identification of Hammerstein Model

open access: yesIEEE Access, 2020
Chemical industrial processes involve numerous multivariable nonlinear systems. Nonlinear Muli-Input Muli-Output (MIMO) models seem more suitable to represent most systems and control problems in industrial processes. Furthermore, the outputs of the real
Baochang Xu, Likun Yuan, Yaxin Wang
doaj   +1 more source

Identification of Nonlinear Systems Using the Hammerstein-Wiener Model with Improved Orthogonal Functions

open access: yesElektronika ir Elektrotechnika, 2023
Hammerstein-Wiener systems present a structure consisting of three serial cascade blocks. Two are static nonlinearities, which can be described with nonlinear functions.
Sasa S. Nikolic   +6 more
doaj   +1 more source

Nonparametric models for Hammerstein-Wiener and Wiener-Hammerstein system identification

open access: yesIFAC-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
openaire   +3 more sources

Nonlinear Equalization of Hammerstein OFDM Systems [PDF]

open access: yesIEEE Transactions on Signal Processing, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xia Hong 0001   +3 more
openaire   +3 more sources

Decoupled Parameter Estimation Methods for Hammerstein Systems by Using Filtering Technique

open access: yesIEEE 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
doaj   +1 more source

Maximum Likelihood Identification of Dual-rate Hammerstein Systems

open access: yesNantong Daxue xuebao. Ziran kexue ban, 2021
Aiming at a kind of dual-rate Hammerstein system, based on the auxiliary model identification idea, using the maximum likelihood principle and recursive identification technology, this paper proposes a maximum likelihood recursive least squares algorithm.
LI Junhong ZHANG Jiali LU Guoping
doaj   +1 more source

An Adaptive Nonlinear Filter for System Identification

open access: yesEURASIP 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
doaj   +1 more source

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