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» On the Composition of Hybrid Systems
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IEEEARES
2006
IEEE
16 years 6 days ago
Modeling Dependable Systems using Hybrid Bayesian Networks
A hybrid Bayesian Network (BN) is one that incorporates both discrete and continuous nodes. In our extensive applications of BNs for system dependability assessment the models are...
Martin Neil, Manesh Tailor, Norman E. Fenton, Davi...
HYBRID
2005
Springer
15 years 11 months ago
Hybrid Decentralized Control of Large Scale Systems
Abstract. Motivated by three applications which are under investigation at the Honeywell Research Laboratory in Minneapolis, we introduce a class of large scale control problems. I...
Francesco Borrelli, Tamás Keviczky, Gary J....
SIGMETRICS
2003
ACM
165views Hardware» more  SIGMETRICS 2003»
15 years 11 months ago
A hybrid systems modeling framework for fast and accurate simulation of data communication networks
In this paper we present a general hybrid systems modeling framework to describe the flow of traffic in communication networks. To characterize network behavior, these models use...
Stephan Bohacek, João P. Hespanha, Junsoo L...
ICAPR
2001
Springer
15 years 10 months ago
Pattern Matching and Neural Networks Based Hybrid Forecasting System
In this paper we propose a Neural Net-PMRS hybrid for forecasting time-series data. The neural network model uses the traditional MLP architecture and backpropagation method of tr...
Sameer Singh, Jonathan E. Fieldsend
HYBRID
2003
Springer
15 years 11 months ago
On the Causality of Mixed-Signal and Hybrid Models
This paper extends the application of the Cantor metric as a mathematical tool for defining causalities from pure discrete models to mixed-signal and hybrid models. Using the Cant...
Jie Liu, Edward A. Lee