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Systems
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Developing Resilient Systems: Engineering Solutions for a Changing World
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Developing Resilient Systems: Engineering Solutions for a Changing World

A special issue of Systems (ISSN 2079-8954). This special issue belongs to the section "Systems Theory and Methodology".

Deadline for manuscript submissions: 20 June 2024 | Viewed by 4656

Special Issue Editors

Dr. Randy Buchanan

E-Mail Website
Guest Editor
Institute for Systems Engineering Research (ISER), U.S. Army Engineer Research and Development Center (ERDC), Vicksburg, MS 39180, USA
Interests: systems engineering; control systems; resilience and reliability; space and aerospace systems; applied physics
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Gregory S. Parnell

E-Mail Website
Guest Editor
Department of Industrial Engineering, University of Arkansas, Fayetteville, AR 72701, USA
Interests: systems engineering; decision analysis; risk analysis; agile systems design; project management
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue of the Systems journal focuses on the development of resilient systems and engineering solutions to tackle the challenges presented by a changing world. As the world continues to experience rapid and unpredictable changes, it is crucial to design, develop, and build systems that are capable of adapting to new circumstances while maintaining their essential mission functions for users and stakeholders. The articles included in this Special Issue will explore various aspects of resilience engineering, including the design and evaluation of resilient systems, the identification of potential vulnerabilities and risks, the development of strategies for mitigating and managing disruptions, and the use of emerging technologies and approaches to enhance system resilience, including artificial intelligence (AI) and machine learning (ML). The contributions will highlight the importance of interdisciplinary collaboration and the integration of diverse perspectives and expertise in the development of resilient systems. This Special Issue will provide valuable insights and practical solutions for engineers, researchers, and practitioners working to create resilient systems that can withstand and adapt to the challenges of a rapidly changing world.

Dr. Randy Buchanan
Prof. Dr. Gregory S. Parnell
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 submissions that pass pre-check are 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. Systems 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 2400 CHF (Swiss Francs). 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

  • designing resilient systems
  • engineering resilient systems
  • resilient infrastructures
  • system resilience
  • verification and validation (V&V) of resilient systems
  • robust systems
  • adaptive systems
  • agile methods for designing resilient systems

Published Papers (4 papers)

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Research

22 pages, 412 KiB  
Article
Sustainability under Active Inference
by Mahault Albarracin, Maxwell Ramstead, Riddhi J. Pitliya, Ines Hipolito, Lancelot Da Costa, Maria Raffa, Axel Constant and Sarah Grace Manski
Systems 2024, 12(5), 163; https://doi.org/10.3390/systems12050163 (registering DOI) - 04 May 2024
Viewed by 486
Abstract
In this paper, we explore the known connection among sustainability, resilience, and well-being within the framework of active inference. Initially, we revisit how the notions of well-being and resilience intersect within active inference before defining sustainability. We adopt a holistic concept of sustainability [...] Read more.
In this paper, we explore the known connection among sustainability, resilience, and well-being within the framework of active inference. Initially, we revisit how the notions of well-being and resilience intersect within active inference before defining sustainability. We adopt a holistic concept of sustainability denoting the enduring capacity to meet needs over time without depleting crucial resources. It extends beyond material wealth to encompass community networks, labor, and knowledge. Using the free energy principle, we can emphasize the role of fostering resource renewal, harmonious system–entity exchanges, and practices that encourage self-organization and resilience as pathways to achieving sustainability both as an agent and as a part of a collective. We start by connecting active inference with well-being, building on exsiting work. We then attempt to link resilience with sustainability, asserting that resilience alone is insufficient for sustainable outcomes. While crucial for absorbing shocks and stresses, resilience must be intrinsically linked with sustainability to ensure that adaptive capacities do not merely perpetuate existing vulnerabilities. Rather, it should facilitate transformative processes that address the root causes of unsustainability. Sustainability, therefore, must manifest across extended timescales and all system strata, from individual components to the broader system, to uphold ecological integrity, economic stability, and social well-being. We explain how sustainability manifests at the level of an agent and then at the level of collectives and systems. To model and quantify the interdependencies between resources and their impact on overall system sustainability, we introduce the application of network theory and dynamical systems theory. We emphasize the optimization of precision or learning rates through the active inference framework, advocating for an approach that fosters the elastic and plastic resilience necessary for long-term sustainability and abundance. Full article
(This article belongs to the Special Issue Developing Resilient Systems: Engineering Solutions for a Changing World)
28 pages, 14307 KiB  
Article
Resilient Network Design: Disjoint Shortest Path Problem for Power Transmission Application
by Amit Jha, Haotian Song and Yuriy Zinchenko
Systems 2024, 12(4), 117; https://doi.org/10.3390/systems12040117 - 31 Mar 2024
Viewed by 688
Abstract
Path redundancy is essential for safety and reliability in many real-world routing problems, such as the design of networks for power transmission, transportation, etc. These problems are typically posed to find the shortest path on a weighted graph. For the shortest path with [...] Read more.
Path redundancy is essential for safety and reliability in many real-world routing problems, such as the design of networks for power transmission, transportation, etc. These problems are typically posed to find the shortest path on a weighted graph. For the shortest path with path redundancy, particularly in the Disjoint Shortest 2-Path (DS2P) problem, two disjoint paths are desired such that the combined weight of the two paths is minimized while a minimum distance path separation is maintained. The conventional formulation of the above requires a large-scale mixed-integer programming (MIP) model. However, this approach is practically intractable due to the model’s complexity and extremely long run-time. We demonstrate why DS2P is NP-complete and propose an efficient heuristic to find an approximate solution to the problem in a much shorter time frame. We demonstrate the approach on a realistic dataset for power transmission routing, integrating the computational methodology with a visualization interface using Google Maps. The resulting prototype software is freely available through GitHub and can be deployed on a cloud platform, such as Amazon AWS. Full article
(This article belongs to the Special Issue Developing Resilient Systems: Engineering Solutions for a Changing World)
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18 pages, 968 KiB  
Article
How Does Economic Resilience Enhance the Innovation Capability of the High-Tech Industry? Evidence from China
by Zhenyu Huang and Bowen Hou
Systems 2023, 11(11), 531; https://doi.org/10.3390/systems11110531 - 31 Oct 2023
Viewed by 1537
Abstract
There is still a significant gap between most high-tech fields in China and developed countries, and the relationship between the economic resilience of innovation systems and the innovation capability of the high-tech industry has received attention. Using data from 30 provinces in China, [...] Read more.
There is still a significant gap between most high-tech fields in China and developed countries, and the relationship between the economic resilience of innovation systems and the innovation capability of the high-tech industry has received attention. Using data from 30 provinces in China, this study adopts the fuzzy-set qualitative comparative analysis approach to analyze the relationship between economic resilience and high-tech industry innovation capability, and the findings are as follows: (1) Technological talents and economic development are necessary conditions for explaining the high innovation capability of high-tech industries. (2) The combination of economic resilience and different factors constitutes the equivalent configuration of two high innovation capabilities and four low innovation capabilities. (3) Under high-intensity technological competition between governments, the increased agglomeration of technological talents, and high-quality economic development, the strengthening of economic resilience is conducive to enhancing the innovation capability of high-tech industries. (4) Under low-intensity technological competition between governments, a well-developed technology market, and increased agglomeration of technological talents, the strengthening of economic resilience is adverse to enhancing the innovation capability of high-tech industries. The main contribution of this study is to clarify the configuration mechanism of economic resilience that acts on the innovation capability of the high-tech industry and reveal the complex interaction between economic resilience and multiple factors. Full article
(This article belongs to the Special Issue Developing Resilient Systems: Engineering Solutions for a Changing World)
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15 pages, 4062 KiB  
Article
The Importance of Resistance in the Context of Critical Infrastructure Resilience: An Extension of the CIERA Method
by David Rehak, Lucie Flynnova, Martin Hromada and Clemente Fuggini
Systems 2023, 11(10), 506; https://doi.org/10.3390/systems11100506 - 08 Oct 2023
Viewed by 1375
Abstract
Technical sectors compose an inseparable and elementary part of a complex critical infrastructure (CI) system. Their provided services are essential to the functioning of all of the dependent sectors of CI on which society and states depend, especially in areas experiencing high levels [...] Read more.
Technical sectors compose an inseparable and elementary part of a complex critical infrastructure (CI) system. Their provided services are essential to the functioning of all of the dependent sectors of CI on which society and states depend, especially in areas experiencing high levels of urbanisation. The initial point for effective CI elements’ protection is the permanent assessment and strengthening of their capacity for resilience to the negative effects of internal and external threats. The current perceptions of resilience focus primarily on repressive components responsive to incidents (i.e., robustness, recoverability, and adaptability), while minimal attention is paid to the preventative components. The article’s contribution to this literature gap is its definition of resistance, which can be considered as a CI element’s ability to prevent the occurrence of incidents. To this goal, the current study defines (1) the individual factors (variables and parameters) determining CI resistance and (2) the methodological procedure for infrastructure element resistance assessment in order to identify the weak points throughout a complex CI system and subsequently strengthen them. Moreover, a practical example of resistance assessment for a selected critical energy infrastructure element is presented. The main outcome of this article is the definition of the primary steps for the expansion of the CIERA method, via the enhancement of CI components’ resilience capacity in the prevention phase. Full article
(This article belongs to the Special Issue Developing Resilient Systems: Engineering Solutions for a Changing World)
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