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Kenichi Morioka,Tomomichi Hagiwara 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
This paper is concerned with caus allinear periodically time-varying(LPTV) scaling for stability analysis. The effectiveness of such a scaling technique was first shown for the robust stability analysis of linear sampled-data systems, and it was the next ended to a more general technique called noncausal LPTV scaling. Even though noncausal LPTV scaling has been shown to be more effective than causal LPTV scaling in such a context, this paper aims at showing that causal LPTV scaling can be applied even to sampled-data systems with sector nonlinearities. A numerical example is also studied to compare the effectiveness with an other method based on the conventional multiplier technique.