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» Hybrid Decentralized Control of Large Scale Systems
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AROBOTS
2011
14 years 9 months ago
Setpoint regulation for stochastically interacting robots
— We present an integral feedback controller that regulates the average copy number of a particular assembly in a system of stochastically interacting robots. The mathematical mo...
Nils Napp, Samuel Burden, Eric Klavins
99
Voted
AUTOMATICA
2007
80views more  AUTOMATICA 2007»
15 years 2 months ago
Fast, large-scale model predictive control by partial enumeration
Partial enumeration (PE) is presented as a method for treating large, linear model predictive control applications that are out of reach with available MPC methods. PE uses both a...
Gabriele Pannocchia, James B. Rawlings, Stephen J....
DSN
2008
IEEE
15 years 8 months ago
Hot-spot prediction and alleviation in distributed stream processing applications
Many emerging distributed applications require the realtime processing of large amounts of data that are being updated continuously. Distributed stream processing systems offer a ...
Thomas Repantis, Vana Kalogeraki
GECCO
2005
Springer
196views Optimization» more  GECCO 2005»
15 years 7 months ago
Breeding swarms: a new approach to recurrent neural network training
This paper shows that a novel hybrid algorithm, Breeding Swarms, performs equal to, or better than, Genetic Algorithms and Particle Swarm Optimizers when training recurrent neural...
Matthew Settles, Paul Nathan, Terence Soule
INFOCOM
2003
IEEE
15 years 7 months ago
Stability and Convergence of TCP-like Congestion Controllers in a Many-Flows Regime
— With the rapid growth of Internet, parameter design and analysis for large-scale networks has become a topic of active interest. Since simulation of such large scale systems is...
Supratim Deb, Sanjay Shakkottai, R. Srikant