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AUTOMATICA
1999
64views more  AUTOMATICA 1999»
14 years 9 months ago
Spatial balanced model reduction for flexible structures
This paper considers the problem of balanced model reduction for a class of distributed parameter systems. The system is assumed to have a finite-dimensional state vector as well ...
S. O. Reza Moheimani, Hemanshu Roy Pota, Ian R. Pe...
CDC
2008
IEEE
113views Control Systems» more  CDC 2008»
15 years 4 months ago
Model reduction for a class of input-quantized systems in the max-plus algebra
Abstract— We present a systematic method for model reduction of a class of input-quantized systems in the max-plus algebra. We consider a generalization of the flow shop with ï¬...
Whitney Weyerman, Sean Warnick
ISCI
2008
181views more  ISCI 2008»
14 years 9 months ago
Attribute reduction in decision-theoretic rough set models
Rough set theory can be applied to rule induction. There are two different types of classification rules, positive and boundary rules, leading to different decisions and consequen...
Yiyu Yao, Yan Zhao
ESANN
2006
14 years 11 months ago
Hierarchical markovian models for joint classification, segmentation and data reduction of hyperspectral images
Spectral classification, segmentation and data reduction are the three main problems in hyperspectral image analysis. In this paper we propose a Bayesian estimation approach which ...
Nadia Bali, Ali Mohammad-Djafari, Adel Mohammadpou...
DAC
2008
ACM
14 years 11 months ago
DeMOR: decentralized model order reduction of linear networks with massive ports
Model order reduction is an efficient technique to reduce the system complexity while producing a good approximation of the input-output behavior. However, the efficiency of reduc...
Boyuan Yan, Lingfei Zhou, Sheldon X.-D. Tan, Jie C...