Publicação: H2 and/or H∞-norm model reduction of uncertain discrete-time systems
Carregando...
Data
Autores
Orientador
Coorientador
Pós-graduação
Curso de graduação
Título da Revista
ISSN da Revista
Título de Volume
Editor
Tipo
Trabalho apresentado em evento
Direito de acesso
Acesso aberto
Resumo
This paper addresses the problem of model reduction for uncertain discrete-time systems with convex bounded (polytope type) uncertainty. A reduced order precisely known model is obtained in such a way that the H2 and/or the H∞ guaranteed norm of the error between the original (uncertain) system and the reduced one is minimized. The optimization problems are formulated in terms of coupled (non-convex) LMIs - Linear Matrix Inequalities, being solved through iterative algorithms. Examples illustrate the results.
Descrição
Palavras-chave
Algorithms, Control system analysis, Discrete time control systems, Iterative methods, Mathematical models, Optimization, Linear matrix inequalities (LMI), Model reduction, Uncertain systems
Idioma
Inglês
Como citar
Proceedings of the American Control Conference, v. 6, p. 4466-4470.
