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Network Optimization Methods in Passivity-Based Cooperative Control

  • Book
  • © 2021

Overview

  • Nominated as an outstanding PhD thesis by Technion - Israel Institute of Technology, Haifa, Israel
  • Reports on novel network optimization approaches for designing multi-agent control systems
  • Presents applications in fault detection and isolation, model-free control and network detection

Part of the book series: Springer Theses (Springer Theses)

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Table of contents (8 chapters)

Keywords

About this book

This book establishes an important mathematical connection between cooperative control problems and network optimization problems. It shows that many cooperative control problems can in fact be understood, under certain passivity assumptions, using a pair of static network optimization problems. Merging notions from passivity theory and network optimization, it describes a novel network optimization approach that can be applied to the synthesis of controllers for diffusively-coupled networks of passive (or passivity-short) dynamical systems. It also introduces a data-based, model-free approach for the synthesis of network controllers for multi-agent systems with passivity-short agents.  Further, the book describes a method for monitoring link faults in multi-agent systems using passivity theory and graph connectivity. It reports on some practical case studies describing the effectivity of the developed approaches in vehicle networks. All in all, this book offers an extensive source of information and novel methods in the emerging field of multi-agent cooperative control, paving the way to future developments of autonomous systems for various application domains


Authors and Affiliations

  • Technion - Israel Institute of Technology, Haifa, Israel

    Miel Sharf

Bibliographic Information

  • Book Title: Network Optimization Methods in Passivity-Based Cooperative Control

  • Authors: Miel Sharf

  • Series Title: Springer Theses

  • DOI: https://doi.org/10.1007/978-3-030-72991-2

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021

  • Hardcover ISBN: 978-3-030-72990-5Published: 25 May 2021

  • Softcover ISBN: 978-3-030-72993-6Published: 26 May 2022

  • eBook ISBN: 978-3-030-72991-2Published: 24 May 2021

  • Series ISSN: 2190-5053

  • Series E-ISSN: 2190-5061

  • Edition Number: 1

  • Number of Pages: XX, 235

  • Number of Illustrations: 20 b/w illustrations, 34 illustrations in colour

  • Topics: Control and Systems Theory, Optimization, Aerospace Technology and Astronautics

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