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Network Science and Automation

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Springer Handbook of Automation

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Abstract

From distributed sensing to autonomous vehicles, networks are a crucial component of almost all our automated systems. Indeed, automation requires a coordinated functionality among different, self-driven, autonomous units. For example, robots that must mobilize in unison, vehicles or drones that must safely share space with each other, and, of course, complex infrastructure networks, such as the Internet, which require cooperative dynamics among its millions of interdependent routers. At the heart of such multi-component coordination lies a complex network, capturing the patterns of interaction between its constituting autonomous nodes. This network allows the different units to exchange information, influence each other’s functionality, and, ultimately, achieve globally synchronous behavior. Here, we lay out the mathematical foundations for such emergent large-scale network-based cooperation. First, analyzing the structural patterns of networks in automation, and then showing how these patterns contribute to the system’s resilient and coordinated functionality. With this toolbox at hand, we discuss common applications, from cyber-resilience to sensor networks and coordinated robotic motion.

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Acknowledgements

The authors are indebted to Claudio Altafini, Francesco Bullo, Mario di Bernardo, Mattia Frasca, Maurizio Porfiri, and Sandro Zampieri for precious discussion and advice.

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Authors and Affiliations

  1. Department of Electronics and Telecommunications, Politecnico di Torino, Torino, Italy

    Lorenzo Zino

  2. Engineering and Technology Institute Groningen, University of Groningen, Groningen, The Netherlands

    Lorenzo Zino

  3. Department of Mathematics, Bar-Ilan University, Ramat-Gan, Israel

    Baruch Barzel

  4. The Gonda Interdisciplinary Brain Science Center, Bar-Ilan University, Ramat-Gan, Israel

    Baruch Barzel

  5. Department of Electronics and Telecommunications, Politecnico di Torino, Torino, Italy

    Alessandro Rizzo

  6. Institute for Invention, Innovation, and Entrepreneurship, New York University Tandon School of Engineering, Brooklyn, NY, USA

    Alessandro Rizzo

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  1. Lorenzo Zino
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  2. Baruch Barzel
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  3. Alessandro Rizzo
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Correspondence to Lorenzo Zino , Baruch Barzel or Alessandro Rizzo .

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  1. PRISM Center and School of Industrial Engineering, Purdue University, West Lafayette, IN, USA

    Shimon Y. Nof

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    Zino, L., Barzel, B., Rizzo, A. (2023). Network Science and Automation. In: Nof, S.Y. (eds) Springer Handbook of Automation. Springer Handbooks. Springer, Cham. https://doi.org/10.1007/978-3-030-96729-1_11

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