Redução de modelos sistemas discretos
AUTOR(ES)
Fernando Ryu Ramos Kawaoka
DATA DE PUBLICAÇÃO
2004
RESUMO
This work describes two new methods for model reduction of discrete time models, based on the minimization of the H2 and H norms of the reduction error. The methods are defined by a convex optimization problem given in terms of linear matrix inequalities. The resulting solution is suboptimal. The methods are compared to the balanced truncation, a classical model reduction procedure. The results indicate that, with respect to the H2 norm reduction, the proposed method has a similar performance to that from balanced truncation. In the H case, however, the proposed method performs significantly better
ASSUNTO(S)
sistemas de tempo discreto programação (matematica) sistema lineares
