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| Content Provider | ACM Digital Library |
|---|---|
| Author | Koutsoukos, Xenofon D. LeBlanc, Heath J. |
| Abstract | In this paper, we study local interaction rules that enable a network of dynamic agents to synchronize to a common zero-input state trajectory despite the malicious influence of a subset of adversary agents. The agents in the networked system influence one another by sharing state or output information according to a directed, time-varying graph. The normal agents have identical dynamics modeled by linear time-invariant (LTI) systems that are weakly stable, stabilizable, and detectable. The adversary agents are assumed to be omniscient and can take any uniformly continuous state or output trajectory. We design dynamic state and output control laws under the assumption that there is either an upper bound on the number of neighbors that may be adversaries, or an upper bound on the total number of adversary agents in the network. The control laws use only local information (i.e., information from neighbors in the network) and are resilient in the sense that they are able to mitigate the malicious influence of the adversary nodes and facilitate asymptotic synchronization of the normal agents. The conditions on the network topology required for the success of the synchronization control laws are specified in terms of network robustness. Network robustness is a novel topological property that codifies the notion of sufficient redundancy of directed edges between subsets of nodes in the network. |
| Starting Page | 21 |
| Ending Page | 30 |
| Page Count | 10 |
| File Format | |
| ISBN | 9781450315678 |
| DOI | 10.1145/2461328.2461332 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2013-04-08 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Networked multi-agent system Synchronization Adversary Resilience |
| Content Type | Text |
| Resource Type | Article |
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