scholarly journals Digitizing dissent: cyborg politics and fluid networks in contemporary Cuban activism

Teknokultura ◽  
2016 ◽  
Vol 13 (1) ◽  
Author(s):  
Samuel Kellogg
Keyword(s):  
Fluid Networks

Scalable 3D Bicontinuous Fluid Networks: Polymer Heat Exchangers Toward Artificial Organs

2015 ◽  
Vol 27 (15) ◽  
pp. 2479-2484 ◽  
Author(s):  
Christopher S. Roper ◽  
Randall C. Schubert ◽  
Kevin J. Maloney ◽  
David Page ◽  
Christopher J. Ro ◽  
...  
Keyword(s):  
Heat Exchangers ◽  
Artificial Organs ◽  
Fluid Networks ◽  
Polymer Heat Exchangers

Switched control of fluid networks

2010 ◽  
Vol 32 (6) ◽  
pp. 582-602 ◽  
Author(s):  
Franco Blanchini ◽  
Umberto Viaro
Keyword(s):  
Fluid Networks ◽  
Switched Control

Closure to “Improved Design of Fluid Networks with Computers”

1968 ◽  
Vol 94 (1) ◽  
pp. 306-307
Author(s):  
Thomas A. Marlow ◽  
R. Logan Hardison ◽  
Henry Jacobson ◽  
Gilbert E. Biggs
Keyword(s):  
Fluid Networks ◽  
Improved Design

Diverging paths in FIFO fluid networks

1999 ◽  
Vol 44 (1) ◽  
pp. 191-194 ◽  
Author(s):  
V. Dumas
Keyword(s):  
Fluid Networks

Pathwise comparison results for stochastic fluid networks

2010 ◽  
Vol 66 (2) ◽  
pp. 155-168 ◽  
Author(s):  
Jean-Paul Haddad ◽  
Ravi R. Mazumdar ◽  
Francisco J. Piera
Keyword(s):  
Comparison Results ◽  
Fluid Networks ◽  
Stochastic Fluid

Averaging analysis of periodically forced fluid networks☆

Automatica ◽  
2005 ◽  
Vol 41 (1) ◽  
pp. 129-135 ◽  
Author(s):  
O KOROLEVA ◽  
M KRSTIC
Keyword(s):  
Fluid Networks ◽  
Averaging Analysis

Stability of feed-forward fluid networks with Lévy input

1996 ◽  
Vol 33 (2) ◽  
pp. 513-522 ◽  
Author(s):  
Haya Kaspi ◽  
Offer Kella
Keyword(s):  
Total Variation ◽  
Internal Flow ◽  
Limiting Distribution ◽  
Product Form ◽  
Initial Condition ◽  
Feed Forward ◽  
Fluid Network ◽  
Fluid Networks ◽  
Stochastic Fluid

We consider a stochastic fluid network with independent subordinator inputs to the various stations and deterministic internal flow which is of feed-forward type. We show that under suitable conditions the process of fluid contents in the station has a limiting distribution, where the limit holds in total variation and is independent of the initial condition. We also show that this limiting distribution is of product form only for trivial setups.

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