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» Maximum Likelihood Identification of a Dynamic Robot Model
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CDC
2008
IEEE
163views Control Systems» more  CDC 2008»
15 years 4 months ago
A cooperative deployment strategy for optimal sampling in spatiotemporal estimation
— This paper considers a network composed of robotic agents and static nodes performing spatial estimation of a dynamic physical processes. The physical process is modeled as a s...
Rishi Graham, Jorge Cortés
FAABS
2004
Springer
15 years 2 months ago
Two Formal Gas Models for Multi-agent Sweeping and Obstacle Avoidance
Abstract. The task addressed here is a dynamic search through a bounded region, while avoiding multiple large obstacles, such as buildings. In the case of limited sensors and commu...
Wesley Kerr, Diana F. Spears, William M. Spears, D...
80
Voted
ICAS
2006
IEEE
139views Robotics» more  ICAS 2006»
15 years 3 months ago
Predicting Resource Demand in Dynamic Utility Computing Environments
— We target the problem of predicting resource usage in situations where the modeling data is scarce, non-stationary, or expensive to obtain. This scenario occurs frequently in c...
Artur Andrzejak, Sven Graupner, Stefan Plantikow
ESANN
2001
14 years 11 months ago
A divide-and-conquer learning architecture for predicting unknown motion
Time varying environments or model selection problems lead to crucial dilemmas in identification and control science. In this paper, we propose a modular prediction scheme consisti...
Patrice Wira, Jean-Philippe Urban, Julien Gresser
TSP
2010
14 years 4 months ago
Uplink synchronization in OFDMA spectrum-sharing systems
Spectrum sharing employs dynamic allocation of frequency resources for a more efficient use of the radio spectrum. Despite its appealing features, this technology inevitably compli...
Luca Sanguinetti, Michele Morelli, H. Vincent Poor