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» Dynamics based control with PSRs
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CORR
2011
Springer
127views Education» more  CORR 2011»
13 years 5 months ago
Is a probabilistic modeling
— A new standpoint on financial time series, without the use of any mathematical model and of probabilistic tools, yields not only a rigorous approach of trends and volatility, ...
Michel Fliess, Cédric Join, Fréd&eac...
SCN
2011
Springer
348views Communications» more  SCN 2011»
13 years 5 months ago
MANET QoS support without reservations
An inelastic flow is a flow with inelastic rate: i.e., the rate is fixed, it cannot be dynamically adjusted to traffic and load condition as in elastic flows like TCP. Real ti...
Soon-Young Oh, Gustavo Marfia, Mario Gerla
CDC
2010
IEEE
146views Control Systems» more  CDC 2010»
13 years 5 months ago
Adaptive autonomous soaring of multiple UAVs using Simultaneous Perturbation Stochastic Approximation
Abstract-- This paper presents a new algorithm for maximizing the flight duration of a single UAV (Uninhabited Air Vehicle) and UAVs group using the thermal model developed by Alle...
Cathrine Antal, Oleg Granichin, Sergey Levi
CDC
2010
IEEE
169views Control Systems» more  CDC 2010»
13 years 5 months ago
Consensus-based distributed linear filtering
We address the consensus-based distributed linear filtering problem, where a discrete time, linear stochastic process is observed by a network of sensors. We assume that the consen...
Ion Matei, John S. Baras
CDC
2010
IEEE
128views Control Systems» more  CDC 2010»
13 years 5 months ago
Greedy sensor selection: Leveraging submodularity
ACT We consider the problem of sensor selection in resource constrained sensor networks. The fusion center selects a subset of k sensors from an available pool of m sensors accordi...
Manohar Shamaiah, Siddhartha Banerjee, Haris Vikal...