Application of fuzzy c-means clustering in power system model reduction for controller design
CIMMACS'06 Proceedings of the 5th WSEAS International Conference on Computational Intelligence, Man-Machine Systems and Cybernetics
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We describe a prototype Web service for model reduction of very large-scale linear systems. A user-friendly interface is designed so that model reduction can be easily performed on a cluster of 32 nodes. Access via the www isolates the user of the service from the complexities of installing and using the parallel model reduction codes and the maintenance of the hardware.