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TNN
2010
173views Management» more  TNN 2010»
8 years 2 months ago
Global synchronization for discrete-time stochastic complex networks with randomly occurred nonlinearities and mixed time delays
Abstract--In this paper, the problem of stochastic synchronization analysis is investigated for a new array of coupled discretetime stochastic complex networks with randomly occurr...
Zidong Wang, Yao Wang, Yurong Liu
TSP
2011
151views more  TSP 2011»
8 years 2 months ago
Stochastic Models for Sparse and Piecewise-Smooth Signals
Abstract—We introduce an extended family of continuous-domain stochastic models for sparse, piecewise-smooth signals. These are specified as solutions of stochastic differential...
Michael Unser, Pouya Dehghani Tafti
TOSN
2011
116views more  TOSN 2011»
8 years 2 months ago
A model framework for greedy routing in a sensor network with a stochastic power scheme
A stochastic model is formulated and analyzed to study the advancements of messages under greedy routing in a sensor network with a power-saving scheme. The aim of this model is g...
Holger Paul Keeler, Peter G. Taylor
CDC
2010
IEEE
138views Control Systems» more  CDC 2010»
8 years 2 months ago
Sensor-based robot deployment algorithms
Abstract-- In robot deployment problems, the fundamental issue is to optimize a steady state performance measure that depends on the spatial configuration of a group of robots. For...
Jerome Le Ny, George J. Pappas
CORR
2010
Springer
201views Education» more  CORR 2010»
8 years 4 months ago
Online Advertisement, Optimization and Stochastic Networks
In this paper, we propose a stochastic model to describe how search service providers charge client companies based on users' queries for the keywords related to these compan...
R. Srikant
TGC
2010
Springer
8 years 5 months ago
Uniform Labeled Transition Systems for Nondeterministic, Probabilistic, and Stochastic Processes
Rate transition systems (RTS) are a special kind of transition systems introduced for defining the stochastic behavior of processes and for associating continuous-time Markov chain...
Marco Bernardo, Rocco De Nicola, Michele Loreti
QEST
2010
IEEE
8 years 5 months ago
On the Theory of Stochastic Processors
Traditional architecture design approaches hide hardware uncertainties from the software stack through overdesign, which is often expensive in terms of power consumption. The recen...
Parasara Sridhar Duggirala, Sayan Mitra, Rakesh Ku...
CCE
2004
8 years 7 months ago
An algorithmic framework for improving heuristic solutions: Part II. A new version of the stochastic traveling salesman problem
The algorithmic framework developed for improving heuristic solutions of the new version of deterministic TSP [Choi et al., 2002] is extended to the stochastic case. To verify the...
Jaein Choi, Jay H. Lee, Matthew J. Realff
CCE
2004
8 years 7 months ago
Stochastic maximum principle for optimal control under uncertainty
Optimal control problems involve the difficult task of determining time-varying profiles through dynamic optimization. Such problems become even more complex in practical situatio...
Vicente Rico-Ramírez, Urmila M. Diwekar
CANDC
2004
ACM
8 years 7 months ago
Stochastic approaches for modelling in vivo reactions
In recent years, stochastic modelling has emerged as a physically more realistic alternative for modelling in vivo reactions. There are numerous stochastic approaches available in...
Thomas E. Turner, Santiago Schnell, Kevin Burrage
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