Loading [MathJax]/extensions/MathMenu.js
Reaction-diffusion clustering of single-input dynamical networks | IEEE Conference Publication | IEEE Xplore

Reaction-diffusion clustering of single-input dynamical networks


Abstract:

A novel clustering method for single-input dynamical networks is proposed, where we aggregate state variables that behave similarly for any input signals. This clustering...Show More

Abstract:

A novel clustering method for single-input dynamical networks is proposed, where we aggregate state variables that behave similarly for any input signals. This clustering method is based on the Reaction-Diffusion transformation, which can be applied to large-scale networks, and preserves the stability as well as a kind of network structure of the original system. In addition, the upper bound of the state discrepancy caused by the clustering is evaluated in terms of H∞-norm.
Date of Conference: 12-15 December 2011
Date Added to IEEE Xplore: 01 March 2012
ISBN Information:

ISSN Information:

Conference Location: Orlando, FL, USA

References

References is not available for this document.