Fractional Order Unknown Inputs Fuzzy Observer for Takagi–Sugeno Systems with Unmeasurable Premise Variables

Fractional Order Unknown Inputs Fuzzy Observer for Takagi–Sugeno Systems with Unmeasurable Premise Variables

This paper presents a new procedure for designing a fractional order unknown input observer (FOUIO) for nonlinear systems represented by a fractional-order Takagi−Sugeno (FOTS) model with unmeasurable premise variables (UPV). Most of the current research on fractional order systems conside...

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Bibliographic Details
Main Authors: Abdelghani Djeddi, Djalel Dib, Ahmad Taher Azar, Salem Abdelmalek
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Mathematics
Subjects:
fractional order unknown input fuzzy observer
fractional order takagi–sugeno models
<i>l<sub>2</sub></i> optimization
linear matrix inequalities
unmeasurable premise variables
Online Access:https://www.mdpi.com/2227-7390/7/10/984

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