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IROS
2008
IEEE
211views Robotics» more  IROS 2008»
15 years 10 months ago
GP-BayesFilters: Bayesian filtering using Gaussian process prediction and observation models
Abstract— Bayesian filtering is a general framework for recursively estimating the state of a dynamical system. The most common instantiations of Bayes filters are Kalman filt...
Jonathan Ko, Dieter Fox
PADS
2005
ACM
15 years 10 months ago
Parallel Event-Driven Neural Network Simulations Using the Hodgkin-Huxley Neuron Model
Neural systems are composed of a large number of highly-connected neurons and are widely simulated within the neurological community. In this paper, we examine the application of ...
Collin J. Lobb, Zenas Chao, Richard M. Fujimoto, S...
IPPS
1998
IEEE
15 years 8 months ago
Measuring the Vulnerability of Interconnection Networks in Embedded Systems
Studies of the fault-tolerance of graphs have tended to largely concentrate on classical graph connectivity. This measure is very basic, and conveys very little information for des...
Vijay Lakamraju, Zahava Koren, Israel Koren, C. Ma...
KI
2010
Springer
14 years 11 months ago
Differential Dynamic Logics
Hybrid systems are models for complex physical systems and are defined as dynamical systems with interacting discrete transitions and continuous evolutions along differential equa...
André Platzer
ESANN
2006
15 years 5 months ago
Adaptive Sensor Modelling and Classification using a Continuous Restricted Boltzmann Machine (CRBM)
A probabilistic, ``neural'' approach to sensor modelling and classification is described, performing local data fusion in a wireless system for embedded sensors using a ...
Tong Boon Tang, Alan F. Murray