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Robust flows over time: models and complexity results
2017
Mathematical programming
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The results obtained in this paper yield a first step towards understanding robust dynamic flow problems with uncertain travel times. ...
We develop and study a mathematical model for this problem. As the dynamic robust flow problem generalizes the static version, it is NP-hard to compute an optimal flow. ...
We present primal-dual pairs (P), (D) modeling robust temporally repeated flows and (P') and (D') modeling general robust flows over time. ...
doi:10.1007/s10107-017-1170-3
fatcat:euea3svlpjfmpb2n6yyzyqkrhi
Robust control of flow separation over a pitching aerofoil using plasma actuators
2017
IFAC-PapersOnLine
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Pericle (2017) Robust control of flow separation over a pitching aerofoil using plasma actuators. IFAC Papers Online, 50 (1). pp. ...
Robust, fast flow reattachment is achieved, along with both stabilisation and increase/reduction of the lift/drag, respectively. ...
ACKNOWLEDGEMENTS The research leading to these results has received funding from the People Programme (Marie Curie Actions) of the European Unions Seventh Framework Programme (FP7/2007(FP7/ -2013 under ...
doi:10.1016/j.ifacol.2017.08.1000
fatcat:7sd6aw3xajedna2ibkremq7v7y
Robust active flow control over a range of Reynolds numbers using an artificial neural network trained through deep reinforcement learning
[article]
2020
arXiv
pre-print
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This paper focuses on the active flow control of a computational fluid dynamics simulation over a range of Reynolds numbers using deep reinforcement learning (DRL). ...
The learning environment supports four flow configurations with Reynolds numbers 100, 200, 300 and 400, respectively. ...
Such results prove the robustness and good performance of the ANN obtained with global training, and points to the utility of training the ANN over a range of conditions. ...
arXiv:2004.12417v1
fatcat:tpc5ysgdungfxe2aghjydzbuwe
A robust two-dimensional model for highly sediment-laden unsteady flows of variable density over movable beds
2020
Journal of Hydroinformatics
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In this work, a novel 2D depth-integrated numerical model for highly sediment-laden shallow flows over non-uniform erodible beds is presented, including variable density and exchange between the bed layer ...
The numerical scheme is assessed with steady and transient cases involving highly sediment-laden flows, demonstrating its accuracy, stability and robustness in the presence of complex bed topography, wetting–drying ...
ACKNOWLEDGEMENTS This work was partially funded by the MINECO/FEDER under research project PGC2018-094341-B-I00 and by Diputacion General de Aragon, DGA, through Fondo Europeo de Desarrollo Regional, FEDER ...
doi:10.2166/hydro.2020.027
fatcat:qgncqmgauzdt3j5yecraigjeem
Robust classification for the joint velocity-intermittency structure of turbulent flow over fixed and mobile bedforms
2014
Earth Surface Processes and Landforms
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Acknowledgements-AS and EFG acknowledge support by NCED (award EAR-0120914) and by NSF grants EAR-0824084 and EAR-0835789. ...
JV acknowledges support from an NSERC Discovery Grant and the Canadian Foundation for Innovation. ...
the robustness of these data with respect to numerical modelling results and statistical convergence, is provided in Keylock et al. (2014) . ...
doi:10.1002/esp.3550
fatcat:e6kmyvozqvef5cyg5u7fq36r4i
Design and analysis of a flow control scheme over wireless networks
2011
International Journal of Robust and Nonlinear Control
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By exploiting the heterogeneous time scales of the system, we prove global stability of the new model. ...
The new model is related to that in [29] for the wireline case, and by explicitly including the physical error loss aims at improving the TCP scheme over the network utilization. ...
Hence, in most existing techniques the problem of flow control over wireless is reduced to the problem of flow control over wireline networks by directly synthesizing a communication protocol. ...
doi:10.1002/rnc.1825
fatcat:nko5kdprdrccxhhz66loordodu
Mixed Convection Flow over an Elastic, Porous Surface with Viscous Dissipation: A Robust Spectral Computational Approach
2022
Fractal and Fractional
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a specified goal and is more effective in resolving very complex models of nonlinear boundary value problems. ...
A novel computational approach is developed to investigate the mixed convection, boundary layer flow over a nonlinear elastic (stretching or shrinking) surface. ...
The primary goal of this research is to use a robust computational technique to assess the mixed convection fluid flow including magnetic and porous effects. ...
doi:10.3390/fractalfract6050263
fatcat:oxwkqncaszenboakplx76irib4
Robust active flow control over a range of Reynolds numbers using an artificial neural network trained through deep reinforcement learning
2020
Physics of Fluids
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Robust active flow control over a range of Reynolds numbers using an artificial neural network trained through deep reinforcement learning Cite as: Phys. Fluids 32, 053605 (2020); https://doi. ...
ARTICLE scitation.org/journal/phf Robust active flow control over a range of Reynolds numbers using an artificial neural network trained through deep reinforcement learning ABSTRACT This paper focuses ...
Such results prove the robustness and good performance of the ANN obtained with global training and point to the utility of training the ANN over a range of conditions. ...
doi:10.1063/5.0006492
fatcat:26r6pdvxpzg6vchrafyt2l4zoq
Global exponential stability result for complex valued hysteretic neuron model
2013
International Journal of Machine Intelligence and Sensory Signal Processing
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., Kumar, P.V.S. and Bathul, S. (2013) 'Global exponential stability result for complex valued hysteretic neuron model', Int. ...
The result extends and improves the earlier publications due to the fact that it removes some restrictions on the neural delay. ...
Raja Ratnam and two anonymous reviewers for the valuable comments they have given on an earlier version of this paper. ...
doi:10.1504/ijmissp.2013.052869
fatcat:aonrsam2mvenfi4oyco6ppobfq
Regularized Robust Filters for Time-Varying Uncertain Discrete-Time Systems
2004
IEEE Transactions on Automatic Control
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Simulation results confirm their superior performance over other robust filter designs. ...
This note develops robust filters for time-varying uncertain discrete-time systems. ...
Simulation results are included to illustrate the superior performance of the proposed filters over other robust designs. II. ...
doi:10.1109/tac.2004.829609
fatcat:sf4uwd4n6fen7nlq76ckx32phu
Finite-time braiding exponents
2015
Chaos
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2015 pre-print arXiv:1502.02162v1 fatcat:guldhdj3ozbw5axz7pta2vvuju
The exponential rate at which a braid deforms loops over a finite time interval as the strands exchange places is the Finite-Time Braiding Exponent (FTBE) and serves as a proxy for topological entropy ...
We demonstrate that FTBEs are robust with respect to the value of numerical time step,details of braid representation, and choice of initial conditions inside the mixing region. ...
ACKNOWLEDGMENTS The authors thank Michael Allshouse, Margaux Filippi, and Tom Peacock for helpful discussions. ...
doi:10.1063/1.4927438
pmid:26328578
fatcat:renvgfqccvet5fvn25nqgtvghm
Real-Time Motion Processing Estimation Methods in Embedded Systems
[chapter]
2012
Real-Time Systems, Architecture, Scheduling, and Application
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Unfortunately, many times it is unaffordable to implement a fully functional embedded system for real-time operation which works in a while with enough accuracy due the nature and complexity of the signal ...
the real-time methods and algorithms. ...
Optic flow resulting from the global constraints, is quite robust due to the combination of results, and is also flattering to the human eye. ...
doi:10.5772/37789
fatcat:dqrddk5ikzf53h6pdtgmg4eosi
Real-Time Travel Time Prediction Framework for Departure Time and Route Advice
2015
Transportation Research Record
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Various models, both based on traffic 3 flow theory and data-driven, have been developed to predict traffic flow and travel times. Many of these 4 perform well under set conditions. ...
1 Heavily utilized urban networks remain a challenge for travel time prediction, as traffic flow is rarely 2 homogeneous and is also subject to a wide variety of disturbances. ...
traffic flow and travel times. ...
doi:10.3141/2490-07
fatcat:wr4mz5khnfaw3nc66rxhrjb4wa
Real-time motion analysis with linear-programming
1999
Proceedings of the Seventh IEEE International Conference on Computer Vision
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A method to compute motion models in real time from point-to-line correspondences using linear programming is presented. ...
An error measure for image alignment using the L 1 metric and based on point-to-line correspondences achieves results which are more robust than those for the commonly used L 2 metric. ...
Bab-Hadiashar and Suter [4] presented a robust optical flow calculation based on LMedS (Least Median of Squares). ...
doi:10.1109/iccv.1999.790290
dblp:conf/iccv/Ben-EzraPW99
fatcat:avoitifzf5cgrgaed2s7rwrc4q
Real-Time Motion Analysis with Linear Programming
2000
Computer Vision and Image Understanding
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A method to compute motion models in real time from point-to-line correspondences using linear programming is presented. ...
An error measure for image alignment using the L 1 metric and based on point-to-line correspondences achieves results which are more robust than those for the commonly used L 2 metric. ...
Bab-Hadiashar and Suter [4] presented a robust optical flow calculation based on LMedS (Least Median of Squares). ...
doi:10.1006/cviu.1999.0826
fatcat:i2qm32vhtffsjmcckvajnepd3q
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