Clamp Nonlinear Modeling and Hysteresis Model Parameter Identification [PDF]
IEEE Access, 2021 Based on the Bouc-Wen model, a nonlinear hysteretic restoring force model is established with dynamic equations. The hardening and softening of the material after reaching the yield limit are described by the nonlinear restoring force-displacement ...
Junzhe Lin +5 more
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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
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EnergiesTo address the difficulty in accurately characterizing the fault current response of renewable energy grid-connected devices during high-/low-voltage ride-through, this paper proposes a fault current response modeling and parameter identification method ...
Jiayang Zhou +5 more
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Nonlinear Hyper-Viscoelastic Constitutive Modeling and PRF Parameter Identification of Rubber Materials. [PDF]
Polymers (Basel)Wang M +6 more
europepmc +3 more sources
Research on Adaptive Model Predictive Control Algorithm for Remotely Operated Vehicle
Kongzhi Yu Xinxi Jishu, 2023 Aiming at the motion state coupling and model non-linearity of remotely operated vehicle (ROV) caused by the asymmetric structural layout of ROV and changes of center of gravity and center of buoyancy, this paper proposes a model identification algorithm
ZHU Yinggu +3 more
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Research on improved nonlinear viscoelastic-plastic damage model of rock and parameter identification. [PDF]
Sci RepTian X +5 more
europepmc +3 more sources
A Bivariate Volterra Series Model for the Design of Power Amplifier Digital Predistorters
Sensors, 2021 The operation of the power amplifier (PA) in wireless transmitters presents a trade-off between linearity and power efficiency, being more efficient when the device exhibits the highest nonlinearity.
Carlos Crespo-Cadenas +2 more
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Identification of Nonlinear Latent Hierarchical Models
Advances in Neural Information Processing Systems 36, 2023 Identifying latent variables and causal structures from observational data is essential to many real-world applications involving biological data, medical data, and unstructured data such as images and languages. However, this task can be highly challenging, especially when observed variables are generated by causally related latent variables and the ...
Lingjing Kong +5 more
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Upgrading Behavioral Models for the Design of Digital Predistorters
Sensors, 2021 This work presents a strategy to upgrade models for power amplifier (PA) behavioral modeling and digital predistortion (DPD). These incomplete structures are the consequence of nonlinear order and memory depth model truncation with the purpose of ...
Carlos Crespo-Cadenas +2 more
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Model parameter on-line identification with nonlinear parametrization – manipulator model
Technical Transactions, 2022 This paper presents an example of solving the parameter identification problem in the case of a robot with two degrees of freedom. In this study, a weighted recursive least squares algorithm was generalised to a case of nonlinear parameterisation in ...
Cedro Leszek
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