PROJECT TITLE :

Decomposition Via QP

ABSTRACT :

This brief presents an algorithm for decoupling multivariable systems primarily based on quadratic programming (QP). One framework is presented that can be used to design centralized, decentralized, and sparse structures of arbitrary dynamical order. A worked example and a case study are presented to demonstrate the usage and performance. It's shown that solely previous strategies based mostly on Evolutionary Algorithms are able to attain slightly higher performance than the proposed algorithm. But, these minor enhancements are outweighed by the large increase in time and prices related to evolutionary optimizations.


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