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Disagreement Behavior Analysis of Signed Networks

Disagreement Behavior Analysis of Signed Networks


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About the Book

Chapter 1 Overview of signed networks.- Chapter 2 Preliminaries.-Chapter 3 Interval bipartite consensus.- Chapter 4 Bipartite containment tracking.- Chapter 5 Local disagreement characterization.- Chapter 6 Finite/fixed-time bipartite consensus.- Chapter 7 Analysis of dynamic signed networks.- Chapter 8 Analysis of mixed-order signed networks.- Chapter 9 Concluding remarks.
About the Author:
Deyuan Meng received the B.S. degree in mathematics and applied mathematics from the Ocean University of China, Qingdao, China, in June 2005, and the Ph.D. degree in control theory and control engineering from Beihang University (BUAA), Beijing, China, in July 2010. He is currently a Full Professor with the Seventh Research Division and the School of Automation Science and Electrical Engineering, Beihang University (BUAA). From November 2012 to November 2013, he was a Visiting Scholar with the Department of Electrical Engineering and Computer Science, Colorado School of Mines, Golden, CO, USA. His current research interests include multi-agent systems, data-driven control, and iterative learning control. Mingjun Du received the M.S. degree in mathematics and the Ph.D. degree in control theory and control engineering from Beihang University (BUAA), Beijing, China, in 2015 and 2020, respectively. He is currently with the School of Information and Automation Engineering, Qilu University of Technology (Shandong Academy of Science), Shandong, China. His current research interests include multi-agent systems and social opinion dynamics. Yuxin Wu received the B.S. degree in automation from North China Electric Power University, Beijing, China, in June 2017, and the M.S. degree in control theory and control engineering from Beihang University (BUAA), Beijing, China, in January 2020. She is currently working towards her Ph.D. degree in Beihang University (BUAA). Her research interests include multi-agent systems, data-driven control, and iterative learning control.


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Product Details
  • ISBN-13: 9789811955297
  • Publisher: Springer Nature Singapore
  • Binding: Hardback
  • Language: English
  • Returnable: Y
  • Weight: 607 gr
  • ISBN-10: 9811955298
  • Publisher Date: 03 Dec 2022
  • Height: 234 mm
  • No of Pages: 228
  • Spine Width: 16 mm
  • Width: 156 mm


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