A Rank Constrained LMI Algorithm for Decentralized State Feedback Guaranteed Cost Control of Uncertain Systems with Uncertainty Described by Integral Quadratic Constraints

Publisher:
IEEE
Publication Type:
Conference Proceeding
Citation:
Proceedings of 2007 American Control Conference, 2007, pp. 796 - 801
Issue Date:
2007-01
Full metadata record
Files in This Item:
Filename Description Size
Thumbnail2010006281.pdf188.52 kB
Adobe PDF
The paper presents a numerical algorithm for constructing a decentralized state feedback guaranteed cost controller for an uncertain system. The uncertain systems under consideration contain structured uncertainty described by integral quadratic constraints. The decentralized controller is designed to achieve a closed loop system which is absolutely stable and such that a cost function satisfies a given bound for all admissible uncertainties. The main result gives an algorithm for constructing the desired controller in terms of LMIs subject to rank constraints.
Please use this identifier to cite or link to this item: