Fully Distributed Event-Triggered Protocols for Linear Multiagent Networks

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Abstract
This paper considers the distributed event-triggered consensus problem for general linear multi-agent networks. Both the leaderless and leader-follower consensus problems are considered. Based on the local sampled state or local output information, distributed adaptive event- triggered protocols are designed, which can ensure that consensus of the agents is achieved and the Zeno behavior is excluded by showing that the interval between any two triggering events is lower bounded by a strictly positive value. Compared to the previous related works, our main contribution is that the proposed adaptive event-based protocols are fully distributed and scalable, which do not rely on any global information of the network graph and are independent of the networks scale. In these event-based protocols, continuous communications are not required for either control laws updating or triggering functions monitoring.
Funding Information
  • National Natural Science Foundation of China (61473005, 11332001, U1713223)
  • Beijing Nova Program (2018047)

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