Disagreement Behavior Analysis of Signed Networks

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.

• 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.

“The investigations of this monograph help to understand the basic properties of signed networks and the dynamic evolutions and disagreement behaviors of them, under which some instructive disagreement behavior analysis approaches are given. Several simulation examples illustrating the behavior of signed networks with different number of agents are presented.” (Petko Hr. Petkov, zbMATH 1514.93001, 2023)