Robustness Analysis of Control Laws in Complex Dynamical Networks Evoked by Deviating Argument

In recent years, robust performance of the system has been broadly studied as a trending topic among a vast array of scholars. This paper discusses the robustness of control laws for complex dynamic networks (CDNs) with a deviation argument. We design two categories of control laws (linear control l...

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Main Authors: Biwen Lia, Jingjing Huang, Donglun Wang
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2022/2033708
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author Biwen Lia
Jingjing Huang
Donglun Wang
author_facet Biwen Lia
Jingjing Huang
Donglun Wang
author_sort Biwen Lia
collection DOAJ
description In recent years, robust performance of the system has been broadly studied as a trending topic among a vast array of scholars. This paper discusses the robustness of control laws for complex dynamic networks (CDNs) with a deviation argument. We design two categories of control laws (linear control law and nonlinear control law) for the undisturbed CDNs to achieve exponential synchronization. It is intractable to ascertain the range of the deviation function exactly. Hence, some corresponding sufficient criteria are put forward to ensure exponential synchronization of CDNs with deviation argument when control laws are not changed. By adopting the Gronwall–Bellman lemma and solving the transcendental equation, we can obtain the admissible upper limits of the deviating function, to keep the corresponding control laws. In comparison with previous research findings, robustness, deviating argument, and control laws are all considered in this study, which enhances the previous findings. Finally, two emulation examples verify the validity of the analysis.
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issn 1607-887X
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spelling doaj-art-f65b95d739804c1591eda460e588b1ea2025-02-03T01:19:58ZengWileyDiscrete Dynamics in Nature and Society1607-887X2022-01-01202210.1155/2022/2033708Robustness Analysis of Control Laws in Complex Dynamical Networks Evoked by Deviating ArgumentBiwen Lia0Jingjing Huang1Donglun Wang2College of Mathematics and StatisticsCollege of Mathematics and StatisticsCollege of Mathematics and StatisticsIn recent years, robust performance of the system has been broadly studied as a trending topic among a vast array of scholars. This paper discusses the robustness of control laws for complex dynamic networks (CDNs) with a deviation argument. We design two categories of control laws (linear control law and nonlinear control law) for the undisturbed CDNs to achieve exponential synchronization. It is intractable to ascertain the range of the deviation function exactly. Hence, some corresponding sufficient criteria are put forward to ensure exponential synchronization of CDNs with deviation argument when control laws are not changed. By adopting the Gronwall–Bellman lemma and solving the transcendental equation, we can obtain the admissible upper limits of the deviating function, to keep the corresponding control laws. In comparison with previous research findings, robustness, deviating argument, and control laws are all considered in this study, which enhances the previous findings. Finally, two emulation examples verify the validity of the analysis.http://dx.doi.org/10.1155/2022/2033708
spellingShingle Biwen Lia
Jingjing Huang
Donglun Wang
Robustness Analysis of Control Laws in Complex Dynamical Networks Evoked by Deviating Argument
Discrete Dynamics in Nature and Society
title Robustness Analysis of Control Laws in Complex Dynamical Networks Evoked by Deviating Argument
title_full Robustness Analysis of Control Laws in Complex Dynamical Networks Evoked by Deviating Argument
title_fullStr Robustness Analysis of Control Laws in Complex Dynamical Networks Evoked by Deviating Argument
title_full_unstemmed Robustness Analysis of Control Laws in Complex Dynamical Networks Evoked by Deviating Argument
title_short Robustness Analysis of Control Laws in Complex Dynamical Networks Evoked by Deviating Argument
title_sort robustness analysis of control laws in complex dynamical networks evoked by deviating argument
url http://dx.doi.org/10.1155/2022/2033708
work_keys_str_mv AT biwenlia robustnessanalysisofcontrollawsincomplexdynamicalnetworksevokedbydeviatingargument
AT jingjinghuang robustnessanalysisofcontrollawsincomplexdynamicalnetworksevokedbydeviatingargument
AT donglunwang robustnessanalysisofcontrollawsincomplexdynamicalnetworksevokedbydeviatingargument