Title : 
Stability analysis for sampled-data systems with a time-varying period
         
        
            Author : 
Seuret, Alexandre
         
        
            Author_Institution : 
Dept. of Autom. Control, CNRS, Grenoble, France
         
        
        
        
        
        
            Abstract : 
This paper proposes a novel stability analysis of linear systems with sampled-data inputs. Inspired by the input-delay approach and the stability of impulsive systems, this method provides novel sufficient stability conditions. The stability analysis concerns both constant and time-varying sampling periods. The delay-dependent conditions are expressed using computable linear matrix inequalities. Several examples show the efficiency and the limitation of such stability criteria.
         
        
            Keywords : 
delay systems; linear matrix inequalities; linear systems; sampled data systems; stability; time-varying systems; impulsive system stability; input-delay approach; linear matrix inequalities; linear system; sampled-data systems; time-varying sampling period; Asymptotic stability; Automatic control; Communication system control; Control systems; Delay; Linear systems; Sampling methods; Stability analysis; Symmetric matrices; Time varying systems; Lyapunov-Krasovskii functionals (LKF); Sampled data controller; Time-delay; delay-dependent stability; linear matrix inequality (LMI);
         
        
        
        
            Conference_Titel : 
Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
         
        
            Conference_Location : 
Shanghai
         
        
        
            Print_ISBN : 
978-1-4244-3871-6
         
        
            Electronic_ISBN : 
0191-2216
         
        
        
            DOI : 
10.1109/CDC.2009.5400681