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We consider a scenario in which agents in a network are rewarded if they collectively solve a group membership task from only local distributed interactions. We propose a simple distributed algorithm with a number of desirable features aimed at modeling distributed social computation: the algorithm is self-stabilizing, decisions are made using only local information, the exchanged messages are minimal...
This paper addresses the problem of event-triggered control of linear time-invariant systems over time-varying rate limited communication channels. We explicitly account for the possibility of channel blackouts, i.e., intervals of time when the communication channel is unavailable for feedback. Assuming prior knowledge of the channel evolution, we study the data capacity, which is the maximum total...
We consider a scenario in which leaders are required to recruit teams of followers. Each leader cannot recruit all followers, but interaction is constrained according to a bipartite network. The objective for each leader is to reach a state of local stability in which it controls a team whose size is equal to a given constraint. We focus on distributed strategies, in which agents have only local information...
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