Abstract
Control algorithms of networked multiagent systems are generally computed distributivity without having a centralized entity monitoring the activity of agents; and therefore, adverse events such as attacks to the communication network and/or failure of agent-wise components can easily result in system instability and prohibit the accomplishment of system-level objectives. This paper studies resilient coordination of networked multiagent systems in the presence of misbehaving agents, i.e., agents that are subject to such adverse events. In particular, we consider a class of adverse conditions consisting of exogenous disturbances and interagent uncertainties and present a distributed adaptive control architecture to retrieve the nominal networked multiagent system behavior. Departing from the existing relevant literature that make specific assumptions on the graph topology and/or the fraction of misbehaving agents, we show that the considered class of adverse conditions can be mitigated through a new adaptive control methodology that utilizes a local state emulator - even if all agents are misbehaving. A illustrative numerical example is provided to demonstrate the theoretical findings.
Recommended Citation
G. De La Torre et al., "Resilient Networked Multiagent Systems: A Distributed Adaptive Control Approachy," Proceedings of the IEEE Conference on Decision and Control, pp. 5367 - 5372, article no. 7040228, Institute of Electrical and Electronics Engineers, Jan 2014.
The definitive version is available at https://doi.org/10.1109/CDC.2014.7040228
Department(s)
Mechanical and Aerospace Engineering
International Standard Book Number (ISBN)
978-147997746-8
International Standard Serial Number (ISSN)
2576-2370; 0743-1546
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
01 Jan 2014
