Distributed Consensus Tracking Control of Chaotic Multi-Agent Supply Chain Network: A New Fault-Tolerant, Finite-Time, and Chatter-Free Approach

Over the last years, distributed consensus tracking control has received a lot of attention due to its benefits, such as low operational costs, high resilience, flexible scalability, and so on. However, control methods that do not consider faults in actuators and control agents are impractical in mo...

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Main Authors: Ziyi Liu, Hadi Jahanshahi, Christos Volos, Stelios Bekiros, Shaobo He, Madini O. Alassafi, Adil M. Ahmad
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/24/1/33
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author Ziyi Liu
Hadi Jahanshahi
Christos Volos
Stelios Bekiros
Shaobo He
Madini O. Alassafi
Adil M. Ahmad
author_facet Ziyi Liu
Hadi Jahanshahi
Christos Volos
Stelios Bekiros
Shaobo He
Madini O. Alassafi
Adil M. Ahmad
author_sort Ziyi Liu
collection DOAJ
description Over the last years, distributed consensus tracking control has received a lot of attention due to its benefits, such as low operational costs, high resilience, flexible scalability, and so on. However, control methods that do not consider faults in actuators and control agents are impractical in most systems. There is no research in the literature investigating the consensus tracking of supply chain networks subject to disturbances and faults in control input. Motivated by this, the current research studies the fault-tolerant, finite-time, and smooth consensus tracking problems for chaotic multi-agent supply chain networks subject to disturbances, uncertainties, and faults in actuators. The chaotic attractors of a supply chain network are shown, and its corresponding multi-agent system is presented. A new control technique is then proposed, which is suitable for distributed consensus tracking of nonlinear uncertain systems. In the proposed scheme, the effects of faults in control actuators and robustness against unknown time-varying disturbances are taken into account. The proposed technique also uses a finite-time super-twisting algorithm that avoids chattering in the system’s response and control input. Lastly, the multi-agent system is considered in the presence of disturbances and actuator faults, and the proposed scheme’s excellent performance is displayed through numerical simulations.
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spelling doaj.art-f91ca41a762e4ac6a2ba26878abb9d5a2023-11-23T13:40:49ZengMDPI AGEntropy1099-43002021-12-012413310.3390/e24010033Distributed Consensus Tracking Control of Chaotic Multi-Agent Supply Chain Network: A New Fault-Tolerant, Finite-Time, and Chatter-Free ApproachZiyi Liu0Hadi Jahanshahi1Christos Volos2Stelios Bekiros3Shaobo He4Madini O. Alassafi5Adil M. Ahmad6School of Economics and Management, Hunan Open University, Changsha 410004, ChinaDepartment of Mechanical Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, CanadaLaboratory of Nonlinear Systems, Circuits & Complexity (LaNSCom), Department of Physics, Aristotle University of Thessaloniki, 54124 Thessaloniki, GreeceDepartment of Banking and Finance, FEMA, University of Malta, MSD 2080 Msida, MaltaSchool of Physics and Electronics, Central South University, Changsha 410083, ChinaDepartment of Information Technology, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi ArabiaDepartment of Information Technology, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi ArabiaOver the last years, distributed consensus tracking control has received a lot of attention due to its benefits, such as low operational costs, high resilience, flexible scalability, and so on. However, control methods that do not consider faults in actuators and control agents are impractical in most systems. There is no research in the literature investigating the consensus tracking of supply chain networks subject to disturbances and faults in control input. Motivated by this, the current research studies the fault-tolerant, finite-time, and smooth consensus tracking problems for chaotic multi-agent supply chain networks subject to disturbances, uncertainties, and faults in actuators. The chaotic attractors of a supply chain network are shown, and its corresponding multi-agent system is presented. A new control technique is then proposed, which is suitable for distributed consensus tracking of nonlinear uncertain systems. In the proposed scheme, the effects of faults in control actuators and robustness against unknown time-varying disturbances are taken into account. The proposed technique also uses a finite-time super-twisting algorithm that avoids chattering in the system’s response and control input. Lastly, the multi-agent system is considered in the presence of disturbances and actuator faults, and the proposed scheme’s excellent performance is displayed through numerical simulations.https://www.mdpi.com/1099-4300/24/1/33consensus trackingsuper-twisting sliding modesupply chain networkfaults in control signalfinite-time estimator
spellingShingle Ziyi Liu
Hadi Jahanshahi
Christos Volos
Stelios Bekiros
Shaobo He
Madini O. Alassafi
Adil M. Ahmad
Distributed Consensus Tracking Control of Chaotic Multi-Agent Supply Chain Network: A New Fault-Tolerant, Finite-Time, and Chatter-Free Approach
Entropy
consensus tracking
super-twisting sliding mode
supply chain network
faults in control signal
finite-time estimator
title Distributed Consensus Tracking Control of Chaotic Multi-Agent Supply Chain Network: A New Fault-Tolerant, Finite-Time, and Chatter-Free Approach
title_full Distributed Consensus Tracking Control of Chaotic Multi-Agent Supply Chain Network: A New Fault-Tolerant, Finite-Time, and Chatter-Free Approach
title_fullStr Distributed Consensus Tracking Control of Chaotic Multi-Agent Supply Chain Network: A New Fault-Tolerant, Finite-Time, and Chatter-Free Approach
title_full_unstemmed Distributed Consensus Tracking Control of Chaotic Multi-Agent Supply Chain Network: A New Fault-Tolerant, Finite-Time, and Chatter-Free Approach
title_short Distributed Consensus Tracking Control of Chaotic Multi-Agent Supply Chain Network: A New Fault-Tolerant, Finite-Time, and Chatter-Free Approach
title_sort distributed consensus tracking control of chaotic multi agent supply chain network a new fault tolerant finite time and chatter free approach
topic consensus tracking
super-twisting sliding mode
supply chain network
faults in control signal
finite-time estimator
url https://www.mdpi.com/1099-4300/24/1/33
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