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Asian Journal of Control
Article . 2023 . Peer-reviewed
License: Wiley Online Library User Agreement
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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
zbMATH Open
Article . 2023
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Controllability of fractional dynamical systems with distributed delays in control using ψ‐Caputo fractional derivative

Controllability of fractional dynamical systems with distributed delays in control using \(\psi \)-Caputo fractional derivative
Authors: Anjapuli Panneer Selvam; Venkatesan Govindaraj;

Controllability of fractional dynamical systems with distributed delays in control using ψ‐Caputo fractional derivative

Abstract

AbstractThis research investigates the controllability of linear and non‐linear fractional dynamical systems with distributed delays in control using the ‐Caputo fractional derivative. For controllability of linear systems, the positive definiteness of Grammian matrix, which is characterized by Mittag–Leffler functions, is used to provide necessary and sufficient conditions. For the controllability of non‐linear systems, the iterative technique with the completeness of is used to obtain sufficient conditions. Using the ‐Caputo fractional derivative, this study is new since it investigates the ideas of controllability. A couple of numerical results are offered to explain the theoretical results.

Keywords

Control problems for functional-differential equations, Controllability, Control/observation systems governed by functional-differential equations, Delay control/observation systems, fractional dynamical systems, controllability Grammian, iterative technique, \( \psi \)-Caputo fractional derivative, delay systems, Functional-differential equations with fractional derivatives

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Top 10%
Average
Top 10%
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