Zobrazeno 1 - 10
of 4 713
pro vyhledávání: '"Nonlinear system identification"'
Autor:
Mohd Helmi Suid, Mohd Ashraf Ahmad, Ahmad Nor Kasruddin Nasir, Mohd Riduwan Ghazali, Julakha Jahan Jui
Publikováno v:
Results in Engineering, Vol 23, Iss , Pp 102506- (2024)
The widespread use of dynamic systems has greatly simplified various human-operated tasks. However, the complex and nonlinear nature of these systems has posed challenges in determining their structure due to heavy reliance on modeling for theoretica
Externí odkaz:
https://doaj.org/article/e149ebd01866401a9bf973bb80952db8
Publikováno v:
IEEE Access, Vol 12, Pp 11052-11065 (2024)
Deep learning methods contain powerful tools for modelling nonlinear dynamic systems. However, whilst these models are useful for predicting outputs, they tend to be described by complicated black box equations that lack interpretability. They are th
Externí odkaz:
https://doaj.org/article/e4a10934f21f4038befc6eb66a2c54f0
Publikováno v:
Engineering Computations, 2023, Vol. 40, Issue 9/10, pp. 2248-2269.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/EC-12-2022-0712
Publikováno v:
Mathematics, Vol 12, Iss 14, p 2252 (2024)
The identification (and control) of nonlinear systems is one of the most important and actual research directions. Moreover, many systems are multivariable. Different from linear system identification (where only a few classes of models are available
Externí odkaz:
https://doaj.org/article/2c30f301ad894bc185d4a9f23cde9df4
Publikováno v:
Actuators, Vol 13, Iss 4, p 142 (2024)
In light of the complex behavior of vibrating structures, their reliable modeling plays a crucial role in the analysis and system design for vibration control. In this paper, the reverse-path (RP) method is revisited, further developed, and applied t
Externí odkaz:
https://doaj.org/article/1e6dc8cea401440cab34379e331e9384
Autor:
Hao Zhang, Desheng Wei, Lei Zhai, Lixin Hu, Liulian Li, Huilai Qin, Dongsheng Li, Jiansheng Fan
Publikováno v:
Frontiers in Materials, Vol 10 (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.,
Externí odkaz:
https://doaj.org/article/e0d1aaa8a08e4661bdd9973d4d36256a
Publikováno v:
SICE Journal of Control, Measurement, and System Integration, Vol 15, Iss 1, Pp 10-23 (2022)
We present a novel framework for controlling non-steady situations in chemical plants to address the behavioural gaps between the simulator for constructing the reinforcement learning-based controller and the real plant considered for deploying the f
Externí odkaz:
https://doaj.org/article/9133f09157494a6db2e732cf7744ddfe
Publikováno v:
Journal of Telecommunications and Information Technology, Iss 2 (2023)
Over the last few years, kernel adaptive filters have gained in importance as the kernel trick started to be used in classic linear adaptive filters in order to address various regression and time-series prediction issues in nonlinear environments.
Externí odkaz:
https://doaj.org/article/6424fde6c8cb4b8ab6dfc6488b2cf18f
A machine learning-based characterization framework for parametric representation of liquid sloshing
Publikováno v:
Results in Engineering, Vol 18, Iss , Pp 101148- (2023)
There is a growing interest in developing a parametric representation of liquid sloshing inside a container stemming from its practical applications in modern engineering systems. The resonant excitation due to sloshing, on the other hand, can cause
Externí odkaz:
https://doaj.org/article/ea1af29e48654ca285099509403637a1
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