Fuzzy Logic-based Stabilization of Nonlinear Time-Varying Systems
Abstract
This paper presents a new stability analysis method for a class of Single Input-Single Output nonlinear time-varying processes based on stabilizing Takagi-Sugeno (T-S) fuzzy logic controllers (FLCs). The stability analysis is done in the sense of Lyapunov resulting in the derivation of an original stability analysis approach that can be used as design method for a generic class of stabilizing FLCs. The approach is expressed in terms of sufficient inequality-type stability conditions. An illustrative example validates the theory.
Keywords
Full Text:
PDFDisclaimer/Regarding indexing issue:
We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information. Also: DOI is paid service which provided by a third party. We never mentioned that we go for this for our any journal. However, journal have no objection if author go directly for this paid DOI service.