Zobrazeno 1 - 10
of 248
pro vyhledávání: '"sindy"'
Publikováno v:
Frontiers in Photonics, Vol 5 (2024)
IntroductionThe moment quantities associated with the nonlinear Schrödinger equation offer important insights into the evolution dynamics of such dispersive wave partial differential equation (PDE) models. The effective dynamics of the moment quanti
Externí odkaz:
https://doaj.org/article/23b3f5a8845e4fd8a9b3ae80d79b3f74
Autor:
Aditya Firman Ihsan
Publikováno v:
Communication in Biomathematical Sciences, Vol 7, Iss 1, Pp 50-60 (2024)
The compartmental model stands as a cornerstone in quantitatively describing the transmission dynamics of diseases. Through a series of assumptions, this model can be formulated and subsequently validated against real-world conditions. Leveraging the
Externí odkaz:
https://doaj.org/article/75cddd9dc67c47e68f04ca03cf0b3c14
Autor:
Jinho Choi
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 5, Pp 1107-1118 (2024)
In order to extract governing equations from time-series data, various approaches are proposed. Among those, sparse identification of nonlinear dynamics (SINDy) stands out as a successful method capable of modeling governing equations with a minimal
Externí odkaz:
https://doaj.org/article/ebf47673900f49da990956f756a19abc
Publikováno v:
IEEE Access, Vol 12, Pp 169592-169605 (2024)
The dynamic model equations are essential in system analysis and control system design. In adaptive control systems, the mathematical equations of the controlled system are utilized to compute the corresponding control signals based on the current dy
Externí odkaz:
https://doaj.org/article/4190f1e004ee43c09cc01c0cc67985c3
Publikováno v:
IEEE Access, Vol 12, Pp 138564-138574 (2024)
Identifying Ordinary Differential Equations (ODEs) from measurement data requires both fitting the dynamics and assimilating, either implicitly or explicitly, the measurement data. The Sparse Identification of Nonlinear Dynamics (SINDy) method does s
Externí odkaz:
https://doaj.org/article/dfdd22ad1b784888a538a338d4f284aa
Publikováno v:
IEEE Access, Vol 12, Pp 119272-119291 (2024)
This paper presents a novel physics-based data-driven approach for reconstructing the nonlinear governing equations and suppressing vibrations in vertical-shaft rotary machines during transient motion. We first identify the key nonlinear terms using
Externí odkaz:
https://doaj.org/article/63cee3790705425899bd333825e0a6b1
Publikováno v:
Energy and AI, Vol 15, Iss , Pp 100326- (2024)
In recent years, developing Artificial Intelligence (AI) models for complex system has become a popular research area. There have been several successful AI models for predicting the Selective Non-Catalytic Reduction (SNCR) system in power plants and
Externí odkaz:
https://doaj.org/article/59d9183f49394ceaa127159f3f683595
Publikováno v:
IEEE Access, Vol 11, Pp 42113-42123 (2023)
Model predictive control (MPC) has become increasingly popular among researchers for modular multilevel converters (MMCs) due to its ability to incorporate multiobjective control and provide superior dynamic response. However, it is computationally c
Externí odkaz:
https://doaj.org/article/c399c6bb013c4961a5bc087914af2dce
Autor:
Daewon Chung, Byeongseon Jeong
Publikováno v:
Mathematics, Vol 12, Iss 6, p 851 (2024)
In this paper, we present an effective method for analyzing patterns in the Russia–Ukraine war based on the Lanchester model. Due to the limited availability of information on combat powers of engaging forces, we utilize the loss of armored equipme
Externí odkaz:
https://doaj.org/article/5f24246ede694112a8d3b1c3a18c03a3