Suchergebnisse - dynamik algorithm framework*
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Framework and computational tool for the consideration of time dependency in Life Cycle Inventory: proof of concept
ISSN: 0959-6526, 1879-1786Veröffentlicht: Elsevier Ltd 10.03.2016Veröffentlicht 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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OLCPM: An online framework for detecting overlapping communities in dynamic social networks
ISSN: 0140-3664, 1873-703XVeröffentlicht: Elsevier B.V 01.06.2018Veröffentlicht 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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Statistical inverse identification for nonlinear train dynamics using a surrogate model in a Bayesian framework
ISSN: 0022-460X, 1095-8568Veröffentlicht: Amsterdam Elsevier Ltd 13.10.2019Veröffentlicht 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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Cloud computing-based energy optimization control framework for plug-in hybrid electric bus
ISSN: 0360-5442, 1873-6785Veröffentlicht: Oxford Elsevier Ltd 15.04.2017Veröffentlicht 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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Consensus of nonlinear multiagent systems with intermittent dynamic event-triggered protocols
ISSN: 0924-090X, 1573-269XVeröffentlicht: Dordrecht Springer Netherlands 01.04.2021Veröffentlicht 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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ECG denoising and fiducial point extraction using an extended Kalman filtering framework with linear and nonlinear phase observations
ISSN: 1361-6579Veröffentlicht: England 01.02.2016Veröffentlicht 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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Computational framework for model updating of large scale linear and nonlinear finite element models using state of the art evolution strategy
ISSN: 0045-7949, 1879-2243Veröffentlicht: New York Elsevier Ltd 01.11.2017Veröffentlicht 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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Nonlinear dynamics of slender structures: a new object-oriented framework
ISSN: 0178-7675, 1432-0924Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2019Veröffentlicht 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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Visual Tracking by Continuous Density Propagation in Sequential Bayesian Filtering Framework
ISSN: 0162-8828, 1939-3539Veröffentlicht: Los Alamitos, CA IEEE 01.05.2009Veröffentlicht in IEEE transactions on pattern analysis and machine intelligence (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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Groundwater-fed irrigation impacts spatially distributed temporal scaling behavior of the natural system: a spatio-temporal framework for understanding water management impacts
ISSN: 1748-9326, 1748-9326Veröffentlicht: Bristol IOP Publishing 01.03.2014Veröffentlicht 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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Construction of reduced-order models for fluid flows using deep feedforward neural networks
ISSN: 0022-1120, 1469-7645Veröffentlicht: Cambridge Cambridge University Press 10.08.2019Veröffentlicht 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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Identification of Collision Mechanism at Seismogenic Fault Interface Using Finite Element Analysis Involving Plate Bending Applications Using Ant Colony Optimization
ISSN: 2247-3769, 2284-7197Veröffentlicht: Timișoara Sciendo 01.05.2017Veröffentlicht 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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Consensus control for multi-agent systems with quasi-one-sided Lipschitz nonlinear dynamics via iterative learning algorithm
ISSN: 0924-090X, 1573-269XVeröffentlicht: Dordrecht Springer Netherlands 01.03.2018Veröffentlicht 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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Robust identification for nonlinear errors-in-variables systems using the EM algorithm
ISSN: 0959-1524, 1873-2771Veröffentlicht: Elsevier Ltd 01.06.2017Veröffentlicht 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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A Multi-Objective Model Predictive Control for Vehicle Adaptive Cruise Control System Based on a New Safe Distance Model
ISSN: 1229-9138, 1976-3832Veröffentlicht: Seoul The Korean Society of Automotive Engineers 01.04.2021Veröffentlicht 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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Blade/casing rubbing interactions in aircraft engines: Numerical benchmark and design guidelines based on NASA rotor 37
ISSN: 0022-460X, 1095-8568Veröffentlicht: Amsterdam Elsevier Ltd 10.11.2019Veröffentlicht 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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An iterative model predictive control algorithm for constrained nonlinear systems
ISSN: 1561-8625, 1934-6093Veröffentlicht: Hoboken Wiley Subscription Services, Inc 01.09.2019Veröffentlicht 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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Enhancing the performance of a bistable energy harvesting device via the cross-entropy method
ISSN: 0924-090X, 1573-269XVeröffentlicht: Dordrecht Springer Netherlands 01.01.2021Veröffentlicht 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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A rate-dependent stochastic damage–plasticity model for quasi-brittle materials
ISSN: 0178-7675, 1432-0924Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2015Veröffentlicht 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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Ensemble of expert deep neural networks for spatio-temporal denoising of contrast-enhanced MRI sequences
ISSN: 1361-8415, 1361-8423, 1361-8423Veröffentlicht: Netherlands Elsevier B.V 01.12.2017Veröffentlicht 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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