Suchergebnisse - dynamik algorithm framework*

  1. 1

    Framework and computational tool for the consideration of time dependency in Life Cycle Inventory: proof of concept von Tiruta-Barna, Ligia, Pigné, Yoann, Navarrete Gutiérrez, Tomás, Benetto, Enrico

    ISSN: 0959-6526, 1879-1786
    Veröffentlicht: Elsevier Ltd 10.03.2016
    Veröffentlicht in Journal of cleaner production (10.03.2016)
    “… In this paper we present a novel conceptual and computational framework for the consideration of time dependency in LCIs …”
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    Journal Article
  2. 2

    OLCPM: An online framework for detecting overlapping communities in dynamic social networks von Boudebza, Souâad, Cazabet, Rémy, Azouaou, Faiçal, Nouali, Omar

    ISSN: 0140-3664, 1873-703X
    Veröffentlicht: Elsevier B.V 01.06.2018
    Veröffentlicht in Computer communications (01.06.2018)
    “… other. In this article, we present an online algorithm, called OLCPM, based on clique percolation and label propagation methods …”
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  3. 3

    Statistical inverse identification for nonlinear train dynamics using a surrogate model in a Bayesian framework von Lebel, D., Soize, C., Fünfschilling, C., Perrin, G.

    ISSN: 0022-460X, 1095-8568
    Veröffentlicht: Amsterdam Elsevier Ltd 13.10.2019
    Veröffentlicht in Journal of sound and vibration (13.10.2019)
    “… This paper presents a Bayesian calibration method for a simulation-based model with stochastic functional input and output. The originality of the method lies …”
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  4. 4

    Cloud computing-based energy optimization control framework for plug-in hybrid electric bus von Yang, Chao, Li, Liang, You, Sixiong, Yan, Bingjie, Du, Xian

    ISSN: 0360-5442, 1873-6785
    Veröffentlicht: Oxford Elsevier Ltd 15.04.2017
    Veröffentlicht in Energy (Oxford) (15.04.2017)
    “… conditions in plug-in hybrid electric bus is still a challenging problem. Motivated by this issue, this paper presents an innovative energy optimization control framework based on the cloud computing for plug-in hybrid electric bus …”
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    Journal Article
  5. 5

    Consensus of nonlinear multiagent systems with intermittent dynamic event-triggered protocols von Hu, Aihua, Park, Ju H., Hu, Manfeng

    ISSN: 0924-090X, 1573-269X
    Veröffentlicht: Dordrecht Springer Netherlands 01.04.2021
    Veröffentlicht in Nonlinear dynamics (01.04.2021)
    “… Consider that control protocols for the consensus work under an intermittent framework due to inevitable factors …”
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  6. 6

    ECG denoising and fiducial point extraction using an extended Kalman filtering framework with linear and nonlinear phase observations von Akhbari, Mahsa, Shamsollahi, Mohammad B, Jutten, Christian, Armoundas, Antonis A, Sayadi, Omid

    ISSN: 1361-6579
    Veröffentlicht: England 01.02.2016
    Veröffentlicht in Physiological measurement (01.02.2016)
    “… For estimating the model parameters, we use an extended Kalman filter (EKF). In this framework called EKF25, all the parameters of Gaussian functions as well as the ECG waveforms …”
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    Journal Article
  7. 7

    Computational framework for model updating of large scale linear and nonlinear finite element models using state of the art evolution strategy von Giagopoulos, Dimitrios, Arailopoulos, Alexandros

    ISSN: 0045-7949, 1879-2243
    Veröffentlicht: New York Elsevier Ltd 01.11.2017
    Veröffentlicht in Computers & structures (01.11.2017)
    “… •Computational FE model updating framework for large scale dynamical systems.•Covariance Matrix Adaptation Evolution Strategy (CMAES …”
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  8. 8

    Nonlinear dynamics of slender structures: a new object-oriented framework von Gebhardt, Cristian Guillermo, Hofmeister, Benedikt, Hente, Christian, Rolfes, Raimund

    ISSN: 0178-7675, 1432-0924
    Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2019
    Veröffentlicht in Computational mechanics (01.02.2019)
    “… With this work, we present a new object-oriented framework to study the nonlinear dynamics of slender structures made of composite multilayer and hyperelastic materials, which combines finite element …”
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  9. 9

    Visual Tracking by Continuous Density Propagation in Sequential Bayesian Filtering Framework von Bohyung Han, Ying Zhu, Comaniciu, D., Davis, L.S.

    ISSN: 0162-8828, 1939-3539
    Veröffentlicht: Los Alamitos, CA IEEE 01.05.2009
    “… Particle filtering is frequently used for visual tracking problems since it provides a general framework for estimating and propagating probability density functions for nonlinear and non-Gaussian dynamic systems …”
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  10. 10

    Groundwater-fed irrigation impacts spatially distributed temporal scaling behavior of the natural system: a spatio-temporal framework for understanding water management impacts von Condon, Laura E, Maxwell, Reed M

    ISSN: 1748-9326, 1748-9326
    Veröffentlicht: Bristol IOP Publishing 01.03.2014
    Veröffentlicht in Environmental research letters (01.03.2014)
    “… Regional scale water management analysis increasingly relies on integrated modeling tools. Much recent work has focused on groundwater-surface water …”
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  11. 11

    Construction of reduced-order models for fluid flows using deep feedforward neural networks von Lui, Hugo F. S., Wolf, William R.

    ISSN: 0022-1120, 1469-7645
    Veröffentlicht: Cambridge Cambridge University Press 10.08.2019
    Veröffentlicht in Journal of fluid mechanics (10.08.2019)
    “… The regression step is performed by a deep feedforward neural network (DNN), and the current framework is implemented in a context similar to the sparse identification of nonlinear dynamics algorithm …”
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  12. 12

    Identification of Collision Mechanism at Seismogenic Fault Interface Using Finite Element Analysis Involving Plate Bending Applications Using Ant Colony Optimization von Dutta, P.K., Mishra, O.P.

    ISSN: 2247-3769, 2284-7197
    Veröffentlicht: Timișoara Sciendo 01.05.2017
    Veröffentlicht in Journal of Applied Engineering Sciences (01.05.2017)
    “… Understanding space-time correlation in equilibrium matrix when force of collision involving earthquake stress strain interaction. The proposed study shows …”
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    Journal Article
  13. 13

    Consensus control for multi-agent systems with quasi-one-sided Lipschitz nonlinear dynamics via iterative learning algorithm von Fu, Qin, Li, Xiang-Dong, Du, Li-Li, Xu, Guang-Zhao, Wu, Jian-Rong

    ISSN: 0924-090X, 1573-269X
    Veröffentlicht: Dordrecht Springer Netherlands 01.03.2018
    Veröffentlicht in Nonlinear dynamics (01.03.2018)
    “… This paper deals with the problem of iterative learning control algorithm for consensus of a class of multi-agent systems, and all the agents in the considered systems are governed by the nonlinear …”
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  14. 14

    Robust identification for nonlinear errors-in-variables systems using the EM algorithm von Guo, F., Hariprasad, K., Huang, B., Ding, Y.S.

    ISSN: 0959-1524, 1873-2771
    Veröffentlicht: Elsevier Ltd 01.06.2017
    Veröffentlicht in Journal of process control (01.06.2017)
    “… This article presents a robust identification approach for nonlinear errors-in-variables (EIV) systems contaminated with outliers. In this work, the …”
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  15. 15

    A Multi-Objective Model Predictive Control for Vehicle Adaptive Cruise Control System Based on a New Safe Distance Model von Liu, Zhenze, Yuan, Qing, Nie, Guangming, Tian, Yantao

    ISSN: 1229-9138, 1976-3832
    Veröffentlicht: Seoul The Korean Society of Automotive Engineers 01.04.2021
    Veröffentlicht in International journal of automotive technology (01.04.2021)
    “… The goal of the control algorithm is to achieve naturalistic behavior of the vehicle that can comprehensively address the issue of driving safety, tracking performance, fuel economy and ride comfort …”
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  16. 16

    Blade/casing rubbing interactions in aircraft engines: Numerical benchmark and design guidelines based on NASA rotor 37 von Piollet, Elsa, Nyssen, Florence, Batailly, Alain

    ISSN: 0022-460X, 1095-8568
    Veröffentlicht: Amsterdam Elsevier Ltd 10.11.2019
    Veröffentlicht in Journal of sound and vibration (10.11.2019)
    “… These models are related to distinct frameworks (time/frequency domain) and various solution algorithms …”
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  17. 17

    An iterative model predictive control algorithm for constrained nonlinear systems von Silva, Nivaldo F., Dórea, Carlos Eduardo T., Maitelli, André L.

    ISSN: 1561-8625, 1934-6093
    Veröffentlicht: Hoboken Wiley Subscription Services, Inc 01.09.2019
    Veröffentlicht in Asian journal of control (01.09.2019)
    “… In this article, a general framework of the method is presented together with a discussion on the conditions under which the iterations converge and on the uncertainty of its results due to the linearization used, as well as some practical considerations about its implementation. The performance of the proposed controller is illustrated via two examples …”
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  18. 18

    Enhancing the performance of a bistable energy harvesting device via the cross-entropy method von Cunha, Americo

    ISSN: 0924-090X, 1573-269X
    Veröffentlicht: Dordrecht Springer Netherlands 01.01.2021
    Veröffentlicht in Nonlinear dynamics (01.01.2021)
    “… This work deals with the solution of a non-convex optimization problem to enhance the performance of an energy harvesting device, which involves a nonlinear …”
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  19. 19

    A rate-dependent stochastic damage–plasticity model for quasi-brittle materials von Ren, Xiaodan, Zeng, Shajie, Li, Jie

    ISSN: 0178-7675, 1432-0924
    Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2015
    Veröffentlicht in Computational mechanics (01.02.2015)
    “… The bi-scalar plastic damage model is developed as the theoretical framework with the damage and the plasticity opening for further developments …”
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  20. 20

    Ensemble of expert deep neural networks for spatio-temporal denoising of contrast-enhanced MRI sequences von Benou, A., Veksler, R., Friedman, A., Riklin Raviv, T.

    ISSN: 1361-8415, 1361-8423, 1361-8423
    Veröffentlicht: Netherlands Elsevier B.V 01.12.2017
    Veröffentlicht in Medical image analysis (01.12.2017)
    “… •We present a novel spatio-temporal denoising framework, based on Deep Neural Networks (DNNs …”
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