An iterative solution to dynamic output stabilization and comments on "Dynamic output feedback controller design for fuzzy systems"

In this note, we will show that the output feedback controller gains K in the paper is only an approximated solution K/sup /spl Dagger//=QP/sup -1/C/spl tilde//sub 0//sup /spl dagger//, with the dagger denoting Moore- Penrose inverse of the matrix C/spl tilde//sub 0/. Consequently K/spl ne/K/sup /sp...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on cybernetics 2004-02, Vol.34 (1), p.679-681
Main Authors: Lin, M.-L., Ji-Chang Lo
Format: Article
Language:English
Subjects:
Control systems
Fuzzy control
Fuzzy systems
Iterative methods
Linear matrix inequalities
Lyapunov method
Output feedback
Riccati equations
Symmetric matrices
Uncertainty
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this note, we will show that the output feedback controller gains K in the paper is only an approximated solution K/sup /spl Dagger//=QP/sup -1/C/spl tilde//sub 0//sup /spl dagger//, with the dagger denoting Moore- Penrose inverse of the matrix C/spl tilde//sub 0/. Consequently K/spl ne/K/sup /spl Dagger// and therefore it may not satisfy the linear matrix inequality (LMI) constraints in the aforementioned paper. Instead, an iterative LMI approach is suggested to solve the dynamic output stabilization problem for the fuzzy systems.
ISSN:1083-4419
2168-2267
1941-0492
2168-2275
DOI:10.1109/TSMCB.2002.806497