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Gotowe bibliografie tematyczne / Hybrid Parallel Smoother

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Artykuły w czasopismach

Gotowa bibliografia na temat „Hybrid Parallel Smoother”

Autor: Grafiati

Data publikacji: 6 września 2023

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Artykuły w czasopismach na temat "Hybrid Parallel Smoother"

1

Fu, Xiaoling, Qi Zhang, Chao Wang, and Jiyun Tang. "Torque Coordination Control of Hybrid Electric Vehicles Based on Hybrid Dynamical System Theory." Electronics 8, no. 6 (2019): 712. http://dx.doi.org/10.3390/electronics8060712.

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In order to reduce the vibration caused by mode switching of hybrid electric vehicles (HEVs) and achieve smooth mode switching, the hybrid input and output automation (HIOA) model of power control system of a parallel HEV is established based on the theory of hybrid dynamical system (HDS). Taking the switching from electric drive mode to hybrid drive mode for example, the torque coordination control is considered, and the performance is compared with the method without the torque coordination by using a rule-based control strategy. The simulation results in AVL Cruise show that, on the premise

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Mandel, J., E. Bergou, S. Gürol, S. Gratton, and I. Kasanický. "Hybrid Levenberg–Marquardt and weak-constraint ensemble Kalman smoother method." Nonlinear Processes in Geophysics 23, no. 2 (2016): 59–73. http://dx.doi.org/10.5194/npg-23-59-2016.

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Abstract. The ensemble Kalman smoother (EnKS) is used as a linear least-squares solver in the Gauss–Newton method for the large nonlinear least-squares system in incremental 4DVAR. The ensemble approach is naturally parallel over the ensemble members and no tangent or adjoint operators are needed. Furthermore, adding a regularization term results in replacing the Gauss–Newton method, which may diverge, by the Levenberg–Marquardt method, which is known to be convergent. The regularization is implemented efficiently as an additional observation in the EnKS. The method is illustrated on the Loren

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Mandel, J., E. Bergou, S. Gürol, and S. Gratton. "Hybrid Levenberg–Marquardt and weak constraint ensemble Kalman smoother method." Nonlinear Processes in Geophysics Discussions 2, no. 3 (2015): 865–902. http://dx.doi.org/10.5194/npgd-2-865-2015.

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Abstract. We propose to use the ensemble Kalman smoother (EnKS) as the linear least squares solver in the Gauss–Newton method for the large nonlinear least squares in incremental 4DVAR. The ensemble approach is naturally parallel over the ensemble members and no tangent or adjoint operators are needed. Further, adding a regularization term results in replacing the Gauss–Newton method, which may diverge, by the Levenberg–Marquardt method, which is known to be convergent. The regularization is implemented efficiently as an additional observation in the EnKS. The method is illustrated on the Lore

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Vu, Trieu Minh, Reza Moezzi, Jindrich Cyrus, Jaroslav Hlava, and Michal Petru. "Parallel Hybrid Electric Vehicle Modelling and Model Predictive Control." Applied Sciences 11, no. 22 (2021): 10668. http://dx.doi.org/10.3390/app112210668.

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This paper presents the modelling and calculations for a hybrid electric vehicle (HEV) in parallel configuration, including a main electrical driving motor (EM), an internal combustion engine (ICE), and a starter/generator motor. The modelling equations of the HEV include vehicle acceleration and jerk, so that simulations can investigate the vehicle drivability and comfortability with different control parameters. A model predictive control (MPC) scheme with softened constraints for this HEV is developed. The new MPC with softened constraints shows its superiority over the MPC with hard constr

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5

Kehagias, Dimitris, Michael Grivas, and Grammati Pantziou. "Using a hybrid platform for cluster, NoW and GRID computing." Facta universitatis - series: Electronics and Energetics 18, no. 2 (2005): 205–18. http://dx.doi.org/10.2298/fuee0502205k.

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Clusters, Networks of Workstations (NoW) and Grids offer a new, highly available and cost-effective parallel computing paradigm. Their simplicity, versatility and unlimited power made them a rapidly adopted technology. It seems that they form the new way of computing. Although these platforms are based on the same principles, they differ significantly, needing special attention to their characteristics. Future computer scientists, programmers and analysts have to be well prepared, both about administrative and programming issues, in order to ensure faster and smoother transition. We present th

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Yang, Y. Y., D. A. Linkens, and M. Mahfouf. "Genetic algorithms and hybrid neural network modelling for aluminium stress—strain prediction." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 217, no. 1 (2003): 7–21. http://dx.doi.org/10.1177/095965180321700103.

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This paper addresses the design of genetic algorithms in developing a hybrid neural network model for aluminium alloy flow stress prediction. The hybrid neural network model consists of a parallel grey-box model structure, with the resulting predictions combining the outputs from the constitutive equations and a neural network. Previous work shows that the hybrid neural network model can deliver better model performance than a neural network model or the constitutive equations. However, the level of performance improvement of the hybrid model depends on the quality of the constitutive model us

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Zhang, S., M. J. Harrison, A. T. Wittenberg, A. Rosati, J. L. Anderson, and V. Balaji. "Initialization of an ENSO Forecast System Using a Parallelized Ensemble Filter." Monthly Weather Review 133, no. 11 (2005): 3176–201. http://dx.doi.org/10.1175/mwr3024.1.

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Abstract As a first step toward coupled ocean–atmosphere data assimilation, a parallelized ensemble filter is implemented in a new stochastic hybrid coupled model. The model consists of a global version of the GFDL Modular Ocean Model Version 4 (MOM4), coupled to a statistical atmosphere based on a regression of National Centers for Environmental Prediction (NCEP) reanalysis surface wind stress, heat, and water flux anomalies onto analyzed tropical Pacific SST anomalies from 1979 to 2002. The residual part of the NCEP fluxes not captured by the regression is then treated as stochastic forcing,

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Yan, Shi Tong. "Hybrid Base and Parallel Hybrid Electric Vehicle Control Strategy." Applied Mechanics and Materials 599-601 (August 2014): 956–59. http://dx.doi.org/10.4028/www.scientific.net/amm.599-601.956.

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Automotive hybrid technology development and mechanical, electrical,engine,energy technology is closely related with the development of these areas of technology, the development of hybrid technology also will be extensive. How to optimize the control strategy is the key to achieve hybrid cars low fuel consumption, low emissions targets . In the automotive power and meet other basic technical performance,and cost requirements of the premise,characteristics and operating conditions for the car's various components , control strategies to achieve a reasonable distribution of energy in the motor

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Kalyankar-Narwade, Supriya, Ramesh Kumar Chidambaram, and Sanjay Patil. "Neural Network- and Fuzzy Control-Based Energy Optimization for the Switching in Parallel Hybrid Two-Wheeler." World Electric Vehicle Journal 12, no. 1 (2021): 35. http://dx.doi.org/10.3390/wevj12010035.

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Optimization of a two-wheeler hybrid electric vehicle (HEV) is a typical challenge compared to that for four-wheeler HEVs. Some of the challenges which are particular to two-wheeler HEVs are throttle integration, smooth switching between power sources, add-on weight compensation, efficiency improvisation in traffic, and energy optimization. Two power sources need to be synchronized skillfully for optimum energy utilization. A prominent variant of HEV is that it easily converts conventional scooters into parallel hybrids by “Through-the-Road (TTR)” architecture. This paper focuses on three swit

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10

Pang, Ming, Yikai Shi, Wendong Wang, and Shun Pang. "Optimal sizing and control of hybrid energy storage system for wind power using hybrid Parallel PSO-GA algorithm." Energy Exploration & Exploitation 37, no. 1 (2018): 558–78. http://dx.doi.org/10.1177/0144598718784036.

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This paper proposes a frequency-based method for sizing the hybrid energy storage system in order to smoothen wind power fluctuations. The main goal of the proposed method is to find the power and energy capacities of the hybrid energy storage system that minimizes the total cost per day of all the systems. The energy management strategy used in this paper is designed as a two-level energy distribution scheme: the first level is responsible for setting the output power of hybrid energy storage system, the second level manages the power flow between the battery and supercapacitor. The hybrid pa

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