Title :
Stability analysis for linear systems under state constraints
Author :
Fang, Haijun ; Lin, Zongli
Author_Institution :
Dept. of Electr. & Comput. Eng., Virginia Univ., Charlottesville, VA, USA
fDate :
June 30 2004-July 2 2004
Abstract :
This paper revisits the problem of stability analysis for linear systems under state constraints. New and less conservative sufficient conditions are identified under which such systems are globally asymptotically stable. Based on these sufficient conditions, iterative LMI algorithms are proposed for testing global asymptotic stability of the system. In addition, these iterative LMI algorithms can be adapted for the design of globally stabilizing state feedback gains.
Keywords :
asymptotic stability; linear matrix inequalities; linear systems; asymptotic stability; iterative LMI algorithms; linear systems; stability analysis; state constraints;
Conference_Titel :
American Control Conference, 2004. Proceedings of the 2004
Conference_Location :
Boston, MA, USA
Print_ISBN :
0-7803-8335-4
