TY - CHAP
T1 - Meta-Network Modeling and Resilience Analysis
AU - Chen, Juntao
AU - Zhu, Quanyan
PY - 2020
Y1 - 2020
N2 - In this chapter, we provide meta-network modeling and investigate both static and dynamic network resilience games. We leverage the established network-of-networks model and study the decentralized decision-makings of players that control the agents at each layer of networks. Furthermore, we provide a tractable problem formulation of which the optimal solution can be computed conveniently. In both games, efficient algorithms are developed which have convergence guarantee to the equilibrium point. In the dynamic network game, the security and resilience aspects of the algorithm are extensively corroborated via simulations using multi-layer mobile autonomous systems.
AB - In this chapter, we provide meta-network modeling and investigate both static and dynamic network resilience games. We leverage the established network-of-networks model and study the decentralized decision-makings of players that control the agents at each layer of networks. Furthermore, we provide a tractable problem formulation of which the optimal solution can be computed conveniently. In both games, efficient algorithms are developed which have convergence guarantee to the equilibrium point. In the dynamic network game, the security and resilience aspects of the algorithm are extensively corroborated via simulations using multi-layer mobile autonomous systems.
UR - http://www.scopus.com/inward/record.url?scp=85076763447&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85076763447&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-23444-7_3
DO - 10.1007/978-3-030-23444-7_3
M3 - Chapter
AN - SCOPUS:85076763447
T3 - SpringerBriefs in Control, Automation and Robotics
SP - 13
EP - 48
BT - SpringerBriefs in Control, Automation and Robotics
PB - Springer
ER -