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Constrained LMS for dynamic flow networks

Konstantinos Eftaxias, Clive Cheong Took, Bruno Venturini, David Arscott
2017 2017 International Joint Conference on Neural Networks (IJCNN)  
We therefore propose a novel constrained Least Mean Squares (LMS) algorithm for the optimisation of flow networks.  ...  The results are promising: not only the proposed constrained LMS has a performance advantage over GA, but its computational cost is significantly lower making it more suitable for real-time applications  ...  In Section 2, we introduce the constrained LMS for flow networks and illuminate the optimal conditions of our constrained LMS algorithm at convergence.  ... 
doi:10.1109/ijcnn.2017.7966263 dblp:conf/ijcnn/EftaxiasTVA17 fatcat:bwzu4qgjzbbtla2hkmkmu7jrhe

Book Announcements

1989 Journal of Guidance Control and Dynamics  
elastic constraints for linear programming; problem of maximum flow in networks; models and methods for solving transportation problems; methods of decomposition; gradient methods; method of aggregation  ...  Contents: Hierarchical structure of discrete-unit traffic flow control models on a network; network structure model; net- work simulation models; principles of optimization based on simulation models.  ... 
doi:10.2514/3.56489 fatcat:j5wyggun2zc75mtfaj4mljn2ua

Hierarchical Multimodal Hub Location with Time Restriction for China Railway(CR) Express Network

Yitong Ma, Xianliang Shi, Ying Qiu
2020 IEEE Access  
In order to balance cargo flow and improve transport efficiency, this paper proposes a hierarchical multimodal hub location problem with time restriction for CR Express network.  ...  Known as the Belt and Road Initiative, China Railway(CR) Express is a cross-continent railway container transport mode between China and Europe, and plays an important role for connecting China and Eurasia  ...  Similarly, Eq. (12) describes cargo flow destined to demand nodes. Eq. (13) and Eq. (14) ensure cargo flow balance at rail hubs; Eq. (15) is cargo flow balance constrain for gateway nodes.  ... 
doi:10.1109/access.2020.2983423 fatcat:eosdqkkgu5hl5bz65bajs2wm5a

N ‐1 security‐constrained coordinated scheduling of integrated electricity and natural gas system considering gas dynamics and wind power uncertainty

Dawei Chen, Can Wan, Yonghua Song, Hui Liu, Fei Wang
2021 IET Renewable Power Generation  
This paper develops a novel N-1 security-constrained coordinated scheduling model of integrated electricity and natural gas system (IEGS) with consideration of gas dynamics and wind power uncertainty.  ...  To integrate gas dynamics with security analysis in IEGS, a linear dynamic gas flow model considering N-1 contingency of pipeline is established by means of big-M method and the fully implicit finite difference  ...  FIGURE 2 2 The flowchart of stochastic N-1 security-constrained scheduling problem FIGURE 3 3 Natural gas network and electricity network in IEGS (a) IEEE 24-bus electricity network (b) 25-node natural  ... 
doi:10.1049/rpg2.12087 fatcat:6atwwu7havazxpx77ulxmr4tmy

Multi-agent scheme to handle flexible loads on low voltage distribution grids

Niels Blaauwbroek, Diego Issicaba, Joao Abel Pecas Lopes
2014 2014 Power Systems Computation Conference  
Since different geographical positions of the loads in the grid will cause a different impact on the grid, load flow calculations are used to indicate operation limit violations.  ...  The large scale integration of electric vehicles and distributed energy resources on low voltage grids might cause serious problems related to, for instance, under/over voltages and line overloading.  ...  Load flow algorithm The load flow routine used for the simulation of the grid is described in [6] .  ... 
doi:10.1109/pscc.2014.7038308 dblp:conf/pscc/BlaauwbroekIL14 fatcat:7osmyspgangrlosrhq4krclcum

Water flow in poly(N-isopropylacrylamide) gels

Atsushi Suzuki, Muneyuki Yoshikawa
2006 Journal of Chemical Physics  
the flow veloclty Was extensively measured in the vicinlty Of the transition temperature for gels with different lengths, lo, at gelation・Asthe temperature increased, the friction slightly decreased at  ...  Friction between a polymer network of poly(N-isopropylacrylamide) gels and solvent water w?  ...  neutral networks resulting ∫/γ and the smaller exponent 〟 than the reported ones, flowed  ... 
doi:10.1063/1.2364893 pmid:17100473 fatcat:gerjdwiyjrd6dhfivjr7povwbm

Adaptive communication-constrained deployment of mobile robotic networks

J. Le Ny, A. Ribeiro, G. J. Pappas
2012 2012 American Control Conference (ACC)  
to support the communication rates desired for the application.  ...  The algorithm decomposes naturally into two components, one for position optimization and one for communication optimization, coupled via a set of Lagrange multipliers.  ...  to the dynamics of x[k] E ∆ i [k] c lm (x[k] + δ∆[k]) − c lm (x[k]) δ x[k] , (21) which by a Taylor expansion of c lm (x) is equal to E ∆ i [k]∆[k] T ∇c lm (x[k])+ 1 2 δ∆ i [k]∆[k] T ∇ 2 c lm (x[k] +  ... 
doi:10.1109/acc.2012.6314804 fatcat:tkb5ftj3gbaarggpe26ksh7suy

The behavior of closed inextensible membranes in linear and quadratic shear flows

Piero Olla
2000 Physica A: Statistical Mechanics and its Applications  
The dynamics of a spheroidal vesicle, bounded by an inextensible membrane, is analyzed in function of the enclosed fluid viscosity, and of the membrane mechanical properties.  ...  The transition from tank-treading to flipping motion in an external shear flow, has been studied in function of the vesicle internal viscosity and of the strength of the shear quadratic component.  ...  In section II, the equation for the membrane shape dynamics will be derived, starting from a Lamb representation for the fluid flow [20] and for the deformation field inside the membrane.  ... 
doi:10.1016/s0378-4371(99)00563-4 fatcat:ogyqns7t3baufntftn2fnymwam

Adaptive Communication-Constrained Deployment of Unmanned Vehicle Systems

Jerome Le Ny, Alejandro Ribeiro, George J. Pappas
2012 IEEE Journal on Selected Areas in Communications  
to support the communication rates desired for the application.  ...  The algorithm decomposes naturally into two components, one for position optimization and one for communication optimization, coupled via a set of Lagrange multipliers.  ...  contribute the following term to the dynamics of x[k] (see (28) below) E Δ i [k] c lm (x[k] + δΔ[k]) − c lm (x[k]) δ x[k] , (26) which by a Taylor expansion of c lm (x) is equal to [25] , [26, Section  ... 
doi:10.1109/jsac.2012.120608 fatcat:drsxwifbsfek3i7cjm4wbmhurq

Optimisation of single and double layer counter flow microchannel heat sinks

S.H. Chong, K.T. Ooi, T.N. Wong
2002 Applied Thermal Engineering  
In this paper, a single layer counter flow (SLCF) and a double layer counter flow (DLCF) microchannel heat sink with rectangular channels have been modelled by employing the thermal resistance network  ...  The accuracy of the prediction has been verified by comparing the results obtained with those from the more comprehensive three dimensional computational fluid dynamics (CFD) conjugate heat transfer model  ...  [6] presented equations governing the fluid dynamics and combined conduction/ convection heat transfer in a heat sink in dimensionless form for both laminar and turbulent flow.  ... 
doi:10.1016/s1359-4311(02)00083-2 fatcat:evk3ky7bujditlg7pvhooieouu

Initial dislocation structures in 3-D discrete dislocation dynamics and their influence on microscale plasticity

C. Motz, D. Weygand, J. Senger, P. Gumbsch
2009 Acta Materialia  
Realistic dislocation network topologies were generated by relaxing an initially pinning point free dislocation loop structure using three-dimensional discrete dislocation dynamics simulations.  ...  The flow stress at 0.2% plastic deformation scales with specimen size with an exponent between À0.6 and À0.9, depending on the initial structure and size regime.  ...  (ii) Dynamic spiral sources: Here the endpoint inside the volume of the spiral source is not pinned but a constrained motion is allowed.  ... 
doi:10.1016/j.actamat.2008.12.020 fatcat:nzu6i6725nbi3oukx3ltzdm2r4

Neural Networks: From Black Box Towards Transparent Box Application To Evapotranspiration Modeling

A. Johannet, B. Vayssade, D. Bertin
2008 Zenodo  
Neural networks are well known for their ability to model non linear functions, but as statistical methods usually does, they use a no parametric approach thus, a priori knowledge is not obvious to be  ...  Moreover, because of their ability to identify non linear dynamical models, recurrent non-directed neural networks are good candidates for simulating fast floods [10] .  ...  Rainfall and flow are represented in Fig. 1 Rainfall (mm) Fig. 1 Rainfall and flows of the Baget river for 1999.  ... 
doi:10.5281/zenodo.1084199 fatcat:xvlktmc3ffe4fn73n4eliswfmy

Goal-oriented active learning with local model networks

Julian Belz, Konrad Bamberger, Oliver Nelles, Thomas Carolus
2017 International Journal of Computational Methods & Experimental Measurements  
A methodology for goal-oriented active learning with local model networks (LMNs) is proposed. It is applied for the generation of training data for a computational fluid dynamics (CFD) metamodel.  ...  This metamodel describes the total-to-static efficiency for a given design point, defined by the pressure rise at a specific volume flow rate, depending on geometrical parameters of an impeller of centrifugal  ...  ACKNOWLEDGMENT This work was funded by the German Ministry for Economic Affairs and Energy (BMWi), the German Federation of Industrial Research Associations (AiF) and the Research Association for Air and  ... 
doi:10.2495/cmem-v6-n4-785-796 fatcat:7wujfyeflzgsjghay5hlu5ihia

A Laplacian-Based Approach for Finding Near Globally Optimal Solutions to OPF Problems [article]

Daniel K. Molzahn, Cédric Josz, Ian A. Hiskens, Patrick Panciatici
2016 arXiv   pre-print
A semidefinite programming (SDP) relaxation globally solves many optimal power flow (OPF) problems.  ...  The proposed approach constrains the generation cost to be close to the lower bound from the SDP relaxation.  ...  network localization problems [33] , and analyses of flow networks [34] ).  ... 
arXiv:1507.07212v2 fatcat:3wmac5kswrgk7dx2a6db6kksxm

Mapping the Spatiotemporal Dynamics of Calcium Signaling in Cellular Neural Networks Using Optical Flow

Marius Buibas, Diana Yu, Krystal Nizar, Gabriel A. Silva
2010 Annals of Biomedical Engineering  
An optical flow gradient algorithm was applied to spontaneously forming networks of neurons and glia in culture imaged by fluorescence optical microscopy in order to map functional calcium signaling with  ...  We then compare computed flow vectors with manually estimated vectors for the progression of a calcium signal recorded from representative astrocyte cultures.  ...  be very useful for reconstructing the dynamics of the network.  ... 
doi:10.1007/s10439-010-0005-7 pmid:20300851 pmcid:PMC2900593 fatcat:f6c6qu4t5rdhzbvps2enlag224
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