Title :
Algorithms and software tools for LMI problems in control: an overview
Author :
Vandenberghe, Lieven ; Balakrishnan, Venkataramanan
Author_Institution :
Inf. Syst. Lab., Stanford Univ., CA, USA
Abstract :
The purpose of this paper is to give an overview of recent developments in algorithms and software for linear matrix inequality (LMI) problems. We review the definition and some basic properties of the semidefinite programming (SDP) problem, and describe recent developments in interior point algorithms and available software. We conclude with some extensions of the SDP
Keywords :
matrix algebra; control engineering; interior point algorithms; linear matrix inequality; optimisation; semidefinite programming; software tools; Application software; Control systems; Information systems; Laboratories; Linear matrix inequalities; Linear programming; Matrix converters; Optimization methods; Software algorithms; Software tools;
Conference_Titel :
Computer-Aided Control System Design, 1996., Proceedings of the 1996 IEEE International Symposium on
Conference_Location :
Dearborn, MI
Print_ISBN :
0-7803-3032-3
DOI :
10.1109/CACSD.1996.555287
