Zobrazeno 1 - 10
of 156 265
pro vyhledávání: '"nonlinear dynamic"'
Autor:
Zheng, Longkui1 (AUTHOR) 752016097@qq.com, Xiang, Yang2 (AUTHOR) yxiang@whut.edu.cn, Luo, Ning1 (AUTHOR)
Publikováno v:
Scientific Reports. 10/10/2024, Vol. 14 Issue 1, p1-15. 15p.
Autor:
Dang, Gang, Wang, Dianhui
Deep learning techniques have shown promise in many domain applications. This paper proposes a novel deep reservoir computing framework, termed deep recurrent stochastic configuration network (DeepRSCN) for modelling nonlinear dynamic systems. DeepRS
Externí odkaz:
http://arxiv.org/abs/2410.20904
Sparse system identification of nonlinear dynamic systems is still challenging, especially for stiff and high-order differential equations for noisy measurement data. The use of highly correlated functions makes distinguishing between true and false
Externí odkaz:
http://arxiv.org/abs/2410.10023
This paper presents a cascaded control architecture, based on nonlinear dynamic inversion (NDI), for rigid body attitude control. The proposed controller works directly with the rotation matrix parameterization, that is, with elements of the Special
Externí odkaz:
http://arxiv.org/abs/2409.03028
Autor:
Al Muhammadi, Marwa F. S.1 (AUTHOR) 221401843@student.kfu.edu.sa, Al Mukahal, Fatemah H. H.1 (AUTHOR) falmukahal@kfu.edu.sa, Sobhy, Mohammed1,2 (AUTHOR) msobhy@kfu.edu.sa
Publikováno v:
Mathematics (2227-7390). Nov2024, Vol. 12 Issue 21, p3422. 20p.
Autor:
Schneider, Leo1 (AUTHOR), Souanef, Toufik1 (AUTHOR) toufik.souanef@cranfield.ac.uk, Whidborne, James F.1 (AUTHOR)
Publikováno v:
Unmanned Systems. Oct2024, p1-18. 18p.
The primary goal of structural health monitoring is to detect damage at its onset before it reaches a critical level. The in-depth investigation in the present work addresses deep learning applied to data-driven damage detection in nonlinear dynamic
Externí odkaz:
http://arxiv.org/abs/2407.03700
Autor:
Li, Zichao, Alijani, Farbod, Sarafraz, Ali, Xu, Minxing, Norte, Richard A., Aragon, Alejandro M., Steeneken, Peter G.
Nonlinear dynamic simulations of mechanical resonators have been facilitated by the advent of computational techniques that generate nonlinear reduced order models (ROMs) using the finite element (FE) method. However, designing devices with specific
Externí odkaz:
http://arxiv.org/abs/2407.12600