Zobrazeno 1 - 10
of 1 092
pro vyhledávání: '"Koopman Operator"'
Publikováno v:
IET Control Theory & Applications, Vol 18, Iss 7, Pp 939-950 (2024)
Abstract This paper introduces a novel data‐driven approach to develop a fault‐tolerant model predictive controller (MPC) for non‐linear systems. By adopting a Koopman operator‐theoretic perspective, the proposed method leverages historical d
Externí odkaz:
https://doaj.org/article/30bcdba9bcef4b1fb39073f402b73969
Autor:
Igor Mezić, Zlatko Drmač, Nelida Črnjarić, Senka Maćešić, Maria Fonoberova, Ryan Mohr, Allan M. Avila, Iva Manojlović, Aleksandr Andrejčuk
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Future state prediction for nonlinear dynamical systems is a challenging task. Classical prediction theory is based on a, typically long, sequence of prior observations and is rooted in assumptions on statistical stationarity of the underlyi
Externí odkaz:
https://doaj.org/article/341d7ee86eb44768a0bd53f120baa2c4
Publikováno v:
IEEE Access, Vol 12, Pp 71675-71684 (2024)
It is well known that identification of the complete system dynamics is challenging, especially in noisy environments. The Koopman operator theory provides a linear representation of a nonlinear system using only the input/output data acquired from t
Externí odkaz:
https://doaj.org/article/4107a676c7d146babe08557d78e2917e
Publikováno v:
CSEE Journal of Power and Energy Systems, Vol 10, Iss 1, Pp 432-438 (2024)
With deployment of measurement units, fitting static equivalent models of distribution networks (DNs) by linear regression has been recognized as an effective method in power flow analysis of a transmission network. Increasing volatility of measureme
Externí odkaz:
https://doaj.org/article/6c1cc0ba4208456d865cae2d4abcc0a8
Publikováno v:
Actuators, Vol 13, Iss 10, p 397 (2024)
The suspension system of the Electromagnetic Suspension (EMS) maglev train is crucial for ensuring safe operation. This article focuses on data-driven modeling and control optimization of the suspension system. By the Extended Dynamic Mode Decomposit
Externí odkaz:
https://doaj.org/article/d97a996c5c924b1da9ecd4c9c69ef5e8
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 888-897 (2023)
Sensor errors, model uncertainty, changes in the surrounding environment, data loss, or malicious network attacks can all result in outliers, which can pollute the measurement process of the distribution system. In this study, to address this problem
Externí odkaz:
https://doaj.org/article/ed98cb6fe5af4f2993b623860b118674
Akademický článek
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Autor:
Abdulrazaq Nafiu Abubakar, Mustapha Kamel Khaldi, Mujahed Aldhaifallah, Rohit Patwardhan, Hussain Salloum
Publikováno v:
Algorithms, Vol 17, Iss 8, p 368 (2024)
In this paper, we aimed to identify the dynamics of a crude distillation unit (CDU) using closed-loop data with NARX−NN and the Koopman operator in both linear (KL) and bilinear (KB) forms. A comparative analysis was conducted to assess the perform
Externí odkaz:
https://doaj.org/article/1f6cd9a00557404fa44c1094ccd39cdb
Autor:
Dongwei Shi, Xiu Yang
Publikováno v:
Mathematics, Vol 12, Iss 14, p 2156 (2024)
Nonlinearity presents a significant challenge in developing quantum algorithms involving differential equations, prompting the exploration of various linearization techniques, including the well-known Carleman Linearization. Instead, this paper intro
Externí odkaz:
https://doaj.org/article/61aeec2a89204357a36921e86c6acbb8
Autor:
Tahereh Gholaminejad, Ali Khaki‐Sedigh
Publikováno v:
IET Control Theory & Applications, Vol 17, Iss 9, Pp 1116-1131 (2023)
Abstract Non‐linearity is an inherent feature of practical systems. Although there have been significant advances in the control of nonlinear systems, the proposed methods often require considerable computational resources or rely on local lineariz
Externí odkaz:
https://doaj.org/article/0fa54e02d9c34033a25eac157c57ea47