Interval observer approach to output stabilization of time-varying input delay systems

Author(s):  
Andrey Polyakov ◽  
Denis Efimov ◽  
Wilfrid Perruquetti ◽  
Jean-Pierre Richard
Automatica ◽  
2013 ◽  
Vol 49 (11) ◽  
pp. 3402-3410 ◽  
Author(s):  
Andrey Polyakov ◽  
Denis Efimov ◽  
Wilfrid Perruquetti ◽  
Jean-Pierre Richard

Automatica ◽  
2012 ◽  
Vol 48 (2) ◽  
pp. 454-457 ◽  
Author(s):  
A. Gonzalez ◽  
A. Sala ◽  
P. Albertos

2019 ◽  
Vol 37 (3) ◽  
pp. 831-854
Author(s):  
Ihab Haidar ◽  
Florentina Nicolau ◽  
Jean-Pierre Barbot ◽  
Woihida Aggoune

Abstract This paper deals with the input–output linearization of non-linear time-varying delay systems. We introduce an extension of the Lie derivative for time-varying delay systems and derive sufficient conditions for the existence of a causal and bounded non-linear feedback linearizing the input–output behaviour of the system. Sufficient conditions ensuring the internal stability after output stabilization are also presented. Finally, several examples illustrating our main results are discussed.


Author(s):  
Dao Thi Hai Yen ◽  
Dinh Cong Huong

This article considers the estimation problem for a class of uncertain fractional-order systems with time-varying delays and disturbances, in which the time-varying delays are present in the state, while the disturbances are present in the output. A new design method of functional interval observers is proposed. In contrast to interval observers currently available in the literature, which dealt with integer-order systems or fractional-order systems without time delays, the functional interval observers with fractional-order [Formula: see text] in this article can deal with fractional-order time-delay systems and integer-order time-delay systems (when [Formula: see text]). Existence conditions of functional interval observers for non-linear fractional-order systems with time-varying delays are established and they are formulated in terms of linear programmings. Two algorithms are provided for determining the functional interval observers. Illustrative examples of the functional interval observer application are presented.


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