Sangli Shi;Zhengxin Wang;Min Xiao;Guo-Ping Jiang;Jinde Cao
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Consensus Analysis for Cooperative-Competitive Multiagent Systems Under False Data Injection Attacks via Dynamic Event-Triggered Observers
Distributed secure control is investigated for cooperative-competitive multiagent systems suffered from false data injection attacks (FDIAs) via event-triggered observers. Attack signals are injected into controller-to-actuator channels. A static event-triggered control is first presented, then an auxiliary-variable-based dynamic event-triggered control is further put forward. The dynamic event-triggered control ensures fewer triggering instants and the dynamic variable plays a significant part in the exclusion of Zeno-behavior. Then based on estimated states and attacks calculated by observers, distributed controllers are proposed to resist attacks. Bipartite consensus is ensured in multiagent systems and corresponding sufficient conditions are obtained. Meanwhile, the Zeno-behaviors are proven to be nonexistent. Finally, theoretical analyses are explained by simulations.
期刊介绍：
The IEEE Transactions on Signal and Information Processing over Networks publishes high-quality papers that extend the classical notions of processing of signals defined over vector spaces (e.g. time and space) to processing of signals and information (data) defined over networks, potentially dynamically varying. In signal processing over networks, the topology of the network may define structural relationships in the data, or may constrain processing of the data. Topics include distributed algorithms for filtering, detection, estimation, adaptation and learning, model selection, data fusion, and diffusion or evolution of information over such networks, and applications of distributed signal processing.
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