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Robust flows over time: models and complexity results

Corinna Gottschalk, Arie M. C. A. Koster, Frauke Liers, Britta Peis, Daniel Schmand, Andreas Wierz
2017 Mathematical programming  
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

L. Pasquale, R. Broglia, K.-S. Choi, D. Durante, P. Zanchetta
2017 IFAC-PapersOnLine  
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]

Hongwei Tang, Jean Rabault, Alexander Kuhnle, Yan Wang, Tongguang Wang
2020 arXiv   pre-print
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

S. Martínez-Aranda, J. Murillo, P. García-Navarro
2020 Journal of Hydroinformatics  
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

Christopher J. Keylock, Arvind Singh, Jeremy G. Venditti, Efi Foufoula-Georgiou
2014 Earth Surface Processes and Landforms  
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

Alessandro Abate, Minghua Chen, Yue Wang, Avideh Zakhor, Shankar Sastry
2011 International Journal of Robust and Nonlinear Control  
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

Lijun Zhang, Nafisa Tariq, Muhammad Mubashir Bhatti, Efstathios E. Michaelides
2022 Fractal and Fractional  
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

Hongwei Tang, Jean Rabault, Alexander Kuhnle, Yan Wang, Tongguang Wang
2020 Physics of Fluids  
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

G. Padmavathi, P.V. Siva Kumar, Shahnaz Bathul
2013 International Journal of Machine Intelligence and Sensory Signal Processing  
., 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

A. Subramanian, A.H. Sayed
2004 IEEE Transactions on Automatic Control  
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

Marko Budišić, Jean-Luc Thiffeault
2015 Chaos  
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]

Guillermo Botella, Diego Gonzalez
2012 Real-Time Systems, Architecture, Scheduling, and Application  
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

Simeon C. Calvert, Maaike Snelder, Taoufik Bakri, Bjorn Heijligers, Victor L. Knoop
2015 Transportation Research Record  
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

M. Ben-Ezra, S. Peleg, M. Werman
1999 Proceedings of the Seventh IEEE International Conference on Computer Vision  
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

Moshe Ben-Ezra, Shmuel Peleg, Michael Werman
2000 Computer Vision and Image Understanding  
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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