Network-Based Analysis of Dynamical Systems Methods for Controllabil
This book explores the key idea that the dynamical properties of complex systems can be determined by effectively calculating specific structural features using network science-based analysis. Furthermore, it argues that certain dynamical behaviours can s
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Dániel Leitold Ágnes Vathy-Fogarassy János Abonyi
Network-Based Analysis of Dynamical Systems Methods for Controllability and Observability Analysis, and Optimal Sensor Placement 123
SpringerBriefs in Computer Science Series Editors Stan Zdonik, Brown University, Providence, RI, USA Shashi Shekhar, University of Minnesota, Minneapolis, MN, USA Xindong Wu, University of Vermont, Burlington, VT, USA Lakhmi C. Jain, University of South Australia, Adelaide, SA, Australia David Padua, University of Illinois Urbana-Champaign, Urbana, IL, USA Xuemin Sherman Shen, University of Waterloo, Waterloo, ON, Canada Borko Furht, Florida Atlantic University, Boca Raton, FL, USA V. S. Subrahmanian, University of Maryland, College Park, MD, USA Martial Hebert, Carnegie Mellon University, Pittsburgh, PA, USA Katsushi Ikeuchi, University of Tokyo, Tokyo, Japan Bruno Siciliano, Università di Napoli Federico II, Napoli, Italy Sushil Jajodia, George Mason University, Fairfax, VA, USA Newton Lee, Institute for Education, Research, and Scholarships, Los Angeles, CA, USA
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Dániel Leitold Ágnes Vathy-Fogarassy János Abonyi •
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Network-Based Analysis of Dynamical Systems Methods for Controllability and Observability Analysis, and Optimal Sensor Placement
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Dániel Leitold Department of Computer Science and Systems Technology University of Pannonia Veszprém, Hungary
Ágnes Vathy-Fogarassy Department of Computer Science and Systems Technology University of Pannonia Veszprém, Hungary
János Abonyi MTA-PE Lendület Complex Systems Monitoring Research Group University of Pannonia Veszprém, Hungary
ISSN 2191-5768 ISSN 2191-5776 (electronic) SpringerBriefs in Computer Science ISBN 978-3-030-36471-7 ISBN 978-3-030-36472-4 (eBook) https:
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