Decentralized stabilization using descriptor systems

Author

Lohmann, B. ; Labibi, B.

Author_Institution

Bremen Univ., Germany

Volume

3

fYear

2000

fDate

2000

Firstpage

2252

Abstract

A novel method for decentralized stabilization of a large-scale system in general form is presented. An appropriate descriptor system is defined for a large-scale system, such that the new system is in input decentralized form. Sufficient conditions for stability of the closed-loop system are introduced. By appropriately assigning the eigenstructure of each isolated subsystem, these conditions are satisfied. This is accomplished by using the method suggested by R.J. Patton and G.P. Liu (1994), such that the effects of the interconnections between the subsystems are minimized via the combination of genetic algorithms and gradient based optimization

Keywords

closed loop systems; eigenvalues and eigenfunctions; genetic algorithms; large-scale systems; minimisation; multivariable systems; robust control; closed-loop system; decentralized stabilization; descriptor systems; eigenstructure; genetic algorithms; gradient based optimization; input decentralized form; isolated subsystem; large-scale system; sufficient conditions; Control systems; Eigenvalues and eigenfunctions; Genetic algorithms; Large-scale systems; Optimization methods; Power system interconnection; Robust control; Robustness; Stability; Sufficient conditions;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 2000 IEEE International Conference on

Conference_Location

Nashville, TN

ISSN

1062-922X

Print_ISBN

0-7803-6583-6

Type

conf

DOI

10.1109/ICSMC.2000.886451

Filename

886451