Results 101 to 110 of about 128,037 (313)
Identification of nonlinear structural parameters based on particle filtering algorithm
Structures such as large-span flexible bridges and high-rise buildings exhibit significant nonlinearity due to their flexibility. Therefore, a nonlinear identification method is essential for structural parameter identification in these cases.
Dandan Xia, Wanghua Yu, Li Lin
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Numerical Study on Identification of Time Varying Parameters of Vibration Systems
An on-line least squares algorithm has previously been successfully applied to linear vibration systems in order to identify time varying parameters. In this article the limitations of the approach and the factors affecting the identification are further
Yanchun Liang, Qiang Zhen, Zaishen Wang
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Mg–Zn composites with a thickness of 0.21 mm were fabricated using roll bonding of a kirigami‐patterned Mg alloy inlay within a Zn matrix. Thermal activation following this process led to the formation of tailored intermetallic structures, which provided the composite with enhanced flexural strength.
Yaroslav Frolov +4 more
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Identification of the Servomechanism used for micro-displacement
Friction causes important errors in the control of small servomechanism and should be determined with precision in order to increase the system performance.
ABBA, Gabriel +3 more
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Hydraulic system smoothness is critical to product quality and position tracking. However, the nonlinear friction is an important factor causing unstable phenomenon of the hydraulic system when at low speed.
Yang Pan +3 more
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A simplified thermoplastic pultrusion model is developed to predict thermal fields in glass fiber/polyethylene terephthalate (GF/PET) composites with reduced computational cost. By combining effective material homogenization, validation against literature data, and Gaussian‐process‐based optimization, the study reveals how heating limits, pulling speed,
Elder Soares +3 more
wiley +1 more source
Identification of nonlinear state-space systems using zero-input responses [PDF]
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.
Verdult, Vincent +3 more
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1st IFAC Conference on Modelling, Identification and Control of Nonlinear Systems (MICNON 2015) : Saint Petersburgh, Russia, 24-26 June ...
Aul, Vitali +2 more
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Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier +17 more
wiley +1 more source
Evolutionary L∞ identification and model reduction for robust control [PDF]
An evolutionary approach for modern robust control oriented system identification and model reduction in the frequency domain is proposed. The technique provides both an optimized nominal model and a 'worst-case' additive or multiplicative uncertainty ...
Li, Y., Tan, K.C.
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