Finite horizon discrete models for multi-agent control systems with coupled dynamics

Boskos, Dimitris; Dimarogonas, Dimos V.

doi:10.1016/j.automatica.2020.108838

Cited by 5 publications

(2 citation statements)

References 38 publications

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“…Simulation results also demonstrate the effectiveness of the proposed method. In addition, uncertainty, nonlinear, and variable parameter system dynamics are promising research directions, previous studies [47][48][49] have made outstanding contributions in these areas. Next, generalizing this result to the uncertainty, nonlinear and variable parameter system dynamics is an interesting future work.…”

Section: Discussionmentioning

confidence: 99%

Event‐triggered containment control for multi‐agent systems under hybrid cyber attacks

Zhu

Liu

Zhang

et al. 2023

Asian Journal of Control

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This paper studies event‐triggered containment control problem of multi‐agent systems (MASs) under deception attacks and denial‐of‐service (DoS) attacks. First, to save limited network resources, an event‐triggered mechanism is proposed for MASs under hybrid cyber attacks. Different from the existing event‐triggered mechanisms, the negative influences of deception attacks and DoS attacks are considered in the proposed triggering function. The communication frequencies between agents are reduced. Then, based on the proposed event‐triggered mechanism, a corresponding control protocol is proposed to ensure that the followers will converge to the convex hull formed by the leaders under deception attacks and DoS attacks. Compared with the previous researches about containment control, in addition to hybrid cyber attacks being considered, the nonlinear functions related to the states of the agents are applied to describe the deception attack signals in the MAS. By orthogonal transformation of deception attack signals, the containment control problem under deception attacks and DoS attacks is reformulated as a stability problem. Then, the sufficient conditions on containment control can be obtained. Finally, a set of simulation example is used to verify the effectiveness of the proposed method.

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Section: Discussionmentioning

confidence: 99%

Event‐triggered containment control for multi‐agent systems under hybrid cyber attacks

Zhu

Liu

Zhang

et al. 2023

Asian Journal of Control

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“…Along with [11] optimized for a network of the coupled systems, this paper optimizes the path of the uncoupled system. Furthermore, [12] exposed a discrete model for the coupled system, this paper considers a bilinear continuous system. Besides [13] decentralized discretetime for a coupled system, so different from this paper that considers continuous time.…”

Section: Introductionmentioning

confidence: 99%

Uncoupled Two Agents Modeling Via Bilinear Optimal Control

Tjahjana

2022

InPrime:Ind.Jour.Pure.Applied.Math

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In this paper, uncoupled two agents modeling is proposed using an optimal bilinear control approach. The model is proposed using assumptions: an absence of the multi agent leader, each agent cannot control the others, each agent never collides with the others, and each agent has the same properties. The special functional cost consisting of a repellent cost is considered. The Pontryagin Maximum Principle is used to determine the optimal path for each agent. After control and optimal path for each agent are obtained some of the simulation results are exposed in this paper.Keywords: uncoupled agent; modeling; bilinear system. AbstrakDalam penelitian ini, pemodelan dua agen yang tidak berpasangan disajikan dengan pendekatan kontrol optimal bilinear. Model yang diusulkan dalam paper ini ditulis dengan asumsi: tidak adanya pemimpin dalam sistem multi agen, setiap agen tidak dapat mengendalikan atau mempengaruhi agen yang lain, setiap agen tiak boleh bertabrakan satu sama lain, dan para agen mempunyai sifat-sifat yang identik. Fungsional biaya khusus yang membuat para agen tidak bertabrakan dipertimbangkan dalam penulisan paper ini. Prinsip maksimum Pontryagin digunakan dalam penentuan lintasan optimal dari para agen. Beberapa hasil simulasi disajikan dalam paper ini.Kata Kunci: agen tak berpasangan; pemodelan; sistem bilinear.

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HDWM-based Consensus Control for Multi-agent Systems Under Communication Delays and DoS Attacks

Zhu,

Liu,

Zhang

et al. 2023

Int. J. Control Autom. Syst.

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Finite horizon discrete models for multi-agent control systems with coupled dynamics

Cited by 5 publications

References 38 publications

Event‐triggered containment control for multi‐agent systems under hybrid cyber attacks

Event‐triggered containment control for multi‐agent systems under hybrid cyber attacks

Uncoupled Two Agents Modeling Via Bilinear Optimal Control

HDWM-based Consensus Control for Multi-agent Systems Under Communication Delays and DoS Attacks

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