1 - 4 of 4 Chapters
[This chapter presents a summary of mathematical tools for DOC used in this book. We start with the consensus problem, a canonical problem in multi-agent networks. In particular, we introduce the matrix representation of multi-agent networks as well as the algorithms and convergence results for...
[This chapter studies a class of generic distributed convex optimization problems. In particular, each agent is associated with a private objective function and a private convex constraint set. Meanwhile, all the agents are subject to a pair of global inequality and equality constraints. The key...
[In noncooperative games, players are self-interested and aim to maximize their own utilities. The selfishness makes the decision-making of players naturally distributed. This attractive feature is evident in a large number of game theoretic learning algorithms, e.g., better and best reply...
[This chapter considers attack-resilient distributed formation control of operator-vehicle networks. Through communication infrastructures, human operators remotely control a group of vehicles such that the vehicle team is able to finish the given cooperative mission; e.g., formation achieving....
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