Global optimization approach for the H2-norm model reduction problem
| Contribuinte(s) |
Universidade Estadual Paulista (UNESP) |
|---|---|
| Data(s) |
27/05/2014
27/05/2014
01/12/1999
|
| Resumo |
A branch and bound algorithm is proposed to solve the H2-norm model reduction problem for continuous-time linear systems, with conditions assuring convergence to the global optimum in finite time. The lower and upper bounds used in the optimization procedure are obtained through Linear Matrix Inequalities formulations. Examples illustrate the results. |
| Formato |
1857-1862 |
| Identificador |
http://dx.doi.org/10.1109/CDC.1999.830904 Proceedings of the IEEE Conference on Decision and Control, v. 2, p. 1857-1862. 0191-2216 http://hdl.handle.net/11449/65951 10.1109/CDC.1999.830904 2-s2.0-0033325754 |
| Idioma(s) |
eng |
| Relação |
Proceedings of the IEEE Conference on Decision and Control |
| Direitos |
closedAccess |
| Palavras-Chave | #Algorithms #Control system synthesis #Linear systems #Mathematical models #Matrix algebra #Optimization #Polynomials #State space methods #Continuous time linear systems #Linear matrix inequalities #Optimal control systems |
| Tipo |
info:eu-repo/semantics/conferencePaper |
