Results 51 to 60 of about 1,828,697 (335)
The NARX Model-Based System Identification on Nonlinear, Rotor-Bearing Systems
Applied Sciences, 2017 In practice, it is usually difficult to obtain the physical model of nonlinear, rotor-bearing systems due to uncertain nonlinearities. In order to solve this issue to conduct the analysis and design of nonlinear, rotor-bearing systems, in this study, a ...
Ying Ma +4 more
doaj +1 more source
Dendrite Net with Acceleration Module for Faster Nonlinear Mapping and System Identification
Mathematics, 2022 Nonlinear mapping is an essential and common demand in online systems, such as sensor systems and mobile phones. Accelerating nonlinear mapping will directly speed up online systems.
Gang Liu +5 more
doaj +1 more source
The Economics of Air Pollution: Central Problems [PDF]
, 1968 System Identification for linear systems and models is a well established and mature topic. Identifying nonlinear models is a much more rich and demanding problem area.
Wolozin, Harold
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LDAcoop: Integrating non‐linear population dynamics into the analysis of clonogenic growth in vitro
Molecular Oncology, EarlyView.Limiting dilution assays (LDAs) quantify clonogenic growth by seeding serial dilutions of cells and scoring wells for colony formation. The fraction of negative wells is plotted against cells seeded and analyzed using the non‐linear modeling of LDAcoop.
Nikko Brix +13 more
wiley +1 more source
Molecular Oncology, EarlyView.Cytarabine is a key therapy for acute myeloid leukaemia (AML), but its efficacy is limited by the dNTPase SAMHD1, which hydrolyses its active metabolite. Screening nucleotide biosynthesis inhibitors revealed that IMPDH inhibitors selectively sensitise SAMHD1‐proficient AML cells to cytarabine.
Miriam Yagüe‐Capilla +9 more
wiley +1 more source
Nonlinear Aeroelastic System Identification Based on Neural Network
Applied Sciences, 2018 This paper focuses on the nonlinear aeroelastic system identification method based on an artificial neural network (ANN) that uses time-delay and feedback elements. A typical two-dimensional wing section with control surface is modelled to illustrate the
Bo Zhang +3 more
doaj +1 more source
A two-stage model updating method for the linear parts of structures with local nonlinearities
Frontiers in Materials, 2023 Finite element model updating provides an important supplement for finite element modelling. However, some studies have shown that if the tested structure involves local nonlinearities due to damages, material properties and large deformation et al., it ...
Hao Zhang +9 more
doaj +1 more source
Molecular Oncology, EarlyView.Intratumour heterogeneity complicates precision management of advanced endometrial cancer. Circulating tumor DNA (ctDNA) offers a minimally invasive strategy to capture tumor evolution and therapeutic resistance. Here, we compare tumor‐agnostic NGS with tumor‐informed ddPCR, outlining their relative sensitivity, concordance, and clinical implications ...
Carlos Casas‐Arozamena +15 more
wiley +1 more source
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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Identification of nonlinear state-space systems using zero-input responses [PDF]
, 2004 This paper studies the generalization of linear subspace identification techniques to nonlinear systems. The basic idea is to combine nonlinear minimal realization techniques based on the Hankel operator with embedding theory used in time-series modeling.
Scherpen, Jacquelien,, Verdult, Vincent,
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