A parametric optimization approach to H∞ and H2 strong stabilization |
| |
Authors: | Daniel U. Campos-Delgado [Author Vitae] |
| |
Affiliation: | a Facultad de Ciencias (UASLP), Av. Salvador Nava s/n, Zona Universitaria, C.P. 78290, S.L.P., Mexico b Department of Electrical and Computer Engineering, Louisiana State University, 102 S. Campus Drive, Baton Rouge, LA 70803, USA |
| |
Abstract: | This paper presents an approach for designing stable MIMO H∞ and H2 controllers by directly computing the norm-constrained stable transfer matrices Q in the H∞ and H2 suboptimal controller parameterizations. This is done by first converting the H2 and H∞ strong stabilization problems into some nonlinear unconstrained optimization problems through explicit parameterization of the norm-constrained Q's for any fixed order. Then, a two-stage numerical search is carried out by using a combination of a genetic algorithm and a quasi-Newton algorithm in order to reach an optimal solution. The effectiveness of the proposed algorithms is illustrated through some benchmark numerical examples. |
| |
Keywords: | Strong stabilization H&infin control H2 control Genetic algorithm |
本文献已被 ScienceDirect 等数据库收录! |
|