Robust decentralized eigenvalues clustering for multi-time-scale systems with perturbations

Citation
Ir. Horng et al., Robust decentralized eigenvalues clustering for multi-time-scale systems with perturbations, INT J SYST, 32(12), 2001, pp. 1429-1442
Citations number
19
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
ISSN journal
00207721 → ACNP
Volume
32
Issue
12
Year of publication
2001
Pages
1429 - 1442
Database
ISI
SICI code
0020-7721(200112)32:12<1429:RDECFM>2.0.ZU;2-#
Abstract
The formulation of the robust decentralized eigenvalues clustering with the design technique of the decentralized robust state feedback controller for multi-time-scale systems is facilitated. The multi-time-scale system, cons isting of a slow subsystem and some fast subsystems with perturbations, is considered. From the eigenvalues locations of the multi-time-scale system, it is known that the locations of the fast subsystems are far from the slow subsystem ones. Furthermore, presented here are some sufficient conditions of robust eigenvalue clustering in specified regions for the uncertain slo w subsystem and the uncertain fast subsystems with the parameter perturbati ons. An algorithm for the design of a decentralized robust state feedback c ontroller for multi-time-scale systems is then presented. It not only ensur es that the eigenvalues of these subsystems are located in the desired regi ons, but also makes sure that all the eigenvalues of the whole system are i n our desired regions. An illustrative example is adopted, and the result i s satisfactory.