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Number of results: 6
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Abstract

The paper deals with alliances and coalitions that can be formed by agents or entities. It is assumed that alliance agents cooperate and form coalitions for performing the tasks or missions. It is considered that alliance agents are unselfish. That is, they are more interested in achieving the common goal(s) than in getting personal benefits. In the paper, the concept of fuzzy alliance was introduced. A fuzzy alliance is considered as generalization of traditional alliance allowing agents to decide on the capabilities that their agents can and wanted deliver to coalition. Coalitions that can be formed by fuzzy alliance agents were considered. The definition of the “best” coalition was explained. The method of how to find the “best” coalition among all possible coalitions was suggested and verified by computer simulation.
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Authors and Affiliations

Viktor Mashkov
1
Andrzej Smolarz
2
Volodymy Lytvynenko
3

  1. University J. E. Purkyne, Usti nad Labem, CzechRepublic
  2. Lublin University of Technology, Lublin, Poland
  3. Kherson National Technical University,Kherson, Ukraine
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Abstract

The new industrial era, industry 4.0, leans on Cyber Physical Systems CPS. It is an emergent approach of Production System design that consists of the intimate integration between physical processes and information computation and communication systems. The CPSs redefine the decision-making process in shop floor level to reach an intelligent shop floor control. The scheduling is one of the most important shop floor control functions. In this paper, we propose a cooperative scheduling based on multi-agents modelling for Cyber Physical Production Systems. To validate this approach, we describe a use case in which we implement a scheduling module within a flexible machining cell control tool.
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Authors and Affiliations

Hassan Khadiri
1
Souhail Sekkat
2
Brahim Herrou
3

  1. Sidi Mohamed Ben Abdellah University, Laboratory of Industrial Technologies, Morocco
  2. Moulay Ismail University, ENSAM-Meknes, Morocco
  3. Sidi Mohamed Ben Abdellah University, Superior School of Technology, Morocco
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Abstract

This paper studies an evacuation problem described by a leader-follower model with bounded confidence under predictive mechanisms. We design a control strategy in such a way that agents are guided by a leader, which follows the evacuation path. The proposed evacuation algorithm is based on Model Predictive Control (MPC) that uses the current and the past information of the system to predict future agents’ behaviors. It can be observed that, with MPC method, the leader-following consensus is obtained faster in comparison to the conventional optimal control technique. The effectiveness of the developed MPC evacuation algorithm with respect to different parameters and different time domains is illustrated by numerical examples.
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Bibliography

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Authors and Affiliations

Ricardo Almeida
1
Ewa Girejko
2
ORCID: ORCID
Luís Machado
3 4
Agnieszka B. Malinowska
2
ORCID: ORCID
Natália Martins
1

  1. Center for Research and Development in Mathematics and Applications (CIDMA), Department of Mathematics, University of Aveiro, 3810–193 Aveiro, Portugal
  2. Faculty of Computer Science, Bialystok University of Technology, 15-351 Białystok, Poland
  3. Institute of Systems and Robotics, DEEC – UC, 3030-290 Coimbra, Portugal
  4. Department of Mathematics, University of Trás-os-Montes e Alto Douro (UTAD), 5000-801 Vila Real, Portugal
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Abstract

In this paper cluster consensus is investigated for general fractional-order multi agent systems with nonlinear dynamics via adaptive sliding mode controller. First, cluster consensus for fractional-order nonlinear multi agent systems with general formis investigated. Then, cluster consensus for the fractional-order nonlinear multi agent systems with first-order and general form dynamics is investigated by using adaptive sliding mode controller. Sufficient conditions for achieving cluster consensus for general fractional-order nonlinear multi agent systems are proved based on algebraic graph theory, Lyapunov stability theorem andMittag-Leffler function. Finally, simulation examples are presented for first-order and general form multi agent systems, i.e. a single-link flexible joint manipulator which demonstrates the efficiency of the proposed adaptive controller.

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Authors and Affiliations

Zahra Yaghoubi
Heidar Ali Talebi
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Abstract

The paper is dedicated to the robustness analysis of scalar multi-agent dynamical systems. The open problem we aim to address is the one related to the impact of additive disturbances. Set-theoretic methods are used to achieve the main results in terms of positive invariance and admissible bounds on the disturbances.
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Authors and Affiliations

Katarzyna Topolewicz
1
Sorin Olaru
2
Ewa Girejko
1
ORCID: ORCID
Carlos E.T. Dórea
3

  1. Faculty of Computer Science, Bialystok University of Technology, Poland
  2. Laboratory of Signals and Systems Centrale-Supelec, University Paris-Saclay, France
  3. Department of Computer Engineering and Automation, Universidade Federal do Rio Grande do Norte, UFRN-CT-DCA, 59078-900 Natal, RN, Brazil
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Abstract

This paper addresses the problem of designing secure control for networked multi-agent systems (MASs) under Denial-of-Service (DoS) attacks. We propose a constructive design method based on the interaction topology. The MAS with a non-attack communication topology, modelled by quasi-Abelian Cayley graphs subject to DoS attacks, can be represented as a switched system. Using switching theory, we provide easily implementable sufficient conditions for the networked MAS to remain asymptotically stable despite DoS attacks. Our results are applicable to both continuous-time and discrete-time systems, as well as to discrete-time systems with variable steps or systems that combine discrete and continuous times.
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Authors and Affiliations

Ewa Girejko
1
ORCID: ORCID
Agnieszka B. Malinowska
1
ORCID: ORCID

  1. Bialystok University of Technology,Wiejska 45, 15-351 Białystok, Poland

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