Special Issue "Control and Optimization of Multi-Agent Systems and Complex Networks for Systems Engineering"

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Computational Methods".

Deadline for manuscript submissions: 15 November 2019.

Special Issue Editors

Guest Editor
Dr. Manuel Herrera Website E-Mail
Institute for Manufacturing, Dept. of Engineering, University of Cambridge, UK
Interests: Time Series Mining; Complex Network Analysis; Critical Infrastructures; Smart Systems; Urban Water Systems
Guest Editor
Dr. Marco Pérez-Hernández Website E-Mail
Institute for Manufacturing, Dept. of Engineering, University of Cambridge, UK
Interests: agent-based software architectures, autonomous and adaptable systems, decentralised and constrained decision-making processes, industrial IoT
Guest Editor
Dr. Ajith Kumar Parlikad Website E-Mail
Institute for Manufacturing, Dept. of Engineering, University of Cambridge, UK
Interests: asset management, maintenance engineering, reliability engineering
Guest Editor
Prof. Joaquín Izquierdo Website E-Mail
Institute for Multidisciplinary Mathematics, Dept. of Applied Mathematics, Universitat Politècnica de València, Spain
Interests: mathematical modeling, knowledge-based systems, DSSs in engineering (mainly urban hydraulics)

Special Issue Information

Dear Colleagues,

The recent development of technologies, such as personal mobile computing, cloud based computing and ubiquitous internet, has presented new improvement perspectives for digital management in systems engineering. This interdisciplinary branch of engineering overlaps disciplines such as industrial, mechanical, manufacturing, control, software, electrical, and civil engineering. Systems engineering deals with work-processes, optimization methods, and risk management tools related to all these areas. Within a smart environment for system operation and control, there are biological and nature-based processes, such as those that come from epidemiology models, for achieving optimal and automated decision-making in systems engineering. Particularly, compartmental epidemiology models blend areas related to computational methods, multi-agent systems, and complex network analysis that serve as a basis for key developments on the criticality and risk analysis of systems engineering. Agent-based systems such as those based on swarm intelligence (ACO, PSO, ASO, etc.) provide valuable heuristic methodologies to explore optimal solutions for systems engineering in general as well as for network management, operation and design. Swarm intelligence methods have applications on self-healing networks, community detection, and label propagation, among others.

This Special Issue on "Control and Optimization of Multi-Agent Systems and Complex Networks for Systems Engineering" aims to curate novel advances in theoretical developments and applications of biological and nature-inspired multi-agent and network models for systems engineering. Topics include but are not limited to the following:

  • Theoretical and practical advances in biological and nature-inspired mathematical models;
  • Diffusion processes and dynamics in complex networks;
  • Advanced mesoscale models and multi-layer approaches for complex networks analysis;
  • Graph-theoretical methods and complex networks applications for risk and resilience analysis in systems engineering;
  • Swarm intelligence applications in networked systems;
  • Intelligent infrastructure and asset management;
  • Approaches and bounded strategies for learning in multi-agent systems at different scales;
  • Exploitation, control and optimisation of edge resources via multi-agent systems,
  • Multi-agent learning solutions for near-real time decision-making.

Dr. Manuel Herrera
Dr. Marco Pérez-Hernández
Dr. Ajith Kumar Parlikad
Prof. Joaquín Izquierdo
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Processes is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1200 CHF (Swiss Francs). Please note that for papers submitted after 31 December 2019 an APC of 1400 CHF applies. Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • complex networks
  • multi-agent systems
  • nature-inspired models
  • biological models
  • systems engineering

Published Papers (2 papers)

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Research

Open AccessArticle
Global Supervisory Structure for Decentralized Systems of Flexible Manufacturing Systems Using Petri Nets
Processes 2019, 7(9), 595; https://doi.org/10.3390/pr7090595 - 04 Sep 2019
Abstract
Decentralized supervisory structure has drawn much attention in recent years to address the computational complexity in designing supervisory structures for large Petri net model. Many studies are reported in the paradigm of automata while few can be found in the Petri net paradigm. [...] Read more.
Decentralized supervisory structure has drawn much attention in recent years to address the computational complexity in designing supervisory structures for large Petri net model. Many studies are reported in the paradigm of automata while few can be found in the Petri net paradigm. The decentralized supervisory structure can address the computational complexity, but it adds the structural complexity of supervisory structure. This paper proposed a new method of designing a global controller for decentralized systems of a large Petri net model for flexible manufacturing systems. The proposed method can both reduce the computational complexity by decomposition of large Petri net models into several subnets and structural complexity by designing a global supervisory structure that can greatly reduce the cost at the implementation stage. Two efficient algorithms are developed in the proposed method. Algorithm 1 is used to compute decentralized working zones from the given Petri net model for flexible manufacturing systems. Algorithm 2 is used to compute the global controller that enforces the liveness to the decentralized working zones. The ring assembling method is used to reconnect and controlled the working zones via a global controller. The proposed method can be applied to large Petri nets size and, in general, it has less computational and structural complexity. Experimental examples are presented to explore the applicability of the proposed method. Full article
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Open AccessArticle
Transient Modeling of Grain Structure and Macrosegregation during Direct Chill Casting of Al-Cu Alloy
Processes 2019, 7(6), 333; https://doi.org/10.3390/pr7060333 - 01 Jun 2019
Abstract
Grain structure and macrosegregation are two important aspects to assess the quality of direct chill (DC) cast billets, and the phenomena responsible for their formation are strongly interacted. Transient modeling of grain structure and macrosegregation during DC casting is achieved with a cellular [...] Read more.
Grain structure and macrosegregation are two important aspects to assess the quality of direct chill (DC) cast billets, and the phenomena responsible for their formation are strongly interacted. Transient modeling of grain structure and macrosegregation during DC casting is achieved with a cellular automaton (CA)–finite element (FE) model, by which the macroscopic transport is coupled with microscopic relations for grain growth. In the CAFE model, a two-dimensional (2D) axisymmetric description is used for cylindrical geometry, and a Lagrangian representation is employed for both FE and CA calculations. This model is applied to the DC casting of two industrial scale Al-6.0 wt % Cu round billets with and without grain refiner. The grain structure and macrosegregation under thermal and solutal convection are studied. It is shown that the grain structure is fully equiaxed in the grain-refined billet, while a fine columnar grain region and a coarse columnar grain region are formed in the non-grain-refined billet. With the increasing casting speed, grains become finer and grow in a direction more perpendicular to the axis, and the positive segregation near the centerline becomes more pronounced. The increasing casting temperature makes grains coarser and the negative segregation near the surface more pronounced. Full article
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