Abstract Purpose of Review Currently, there is a large body of research on multi-agent
systems addressing their different system theoretic aspects. Aerial swarms as one type of …

With recent advances in mobile robotics, autonomous systems, and artificial intelligence,
there is a growing expectation that robots are able to solve complex problems. Many of …

This self-contained introduction to the distributed control of robotic networks offers a
distinctive blend of computer science and control theory. The book presents a broad set of …

We present a view of cooperative control using the language of learning in games. We
review the game-theoretic concepts of potential and weakly acyclic games, and demonstrate …

This brief explores the applicability of recent results in game theory and cooperative control
to the problem of optimizing energy production in wind farms. One such result is a model …

A multi-agent system consisting of N agents is considered. The problem of steering each
agent from its initial position to a desired goal while avoiding collisions with obstacles and …

A cooperative game theory framework is proposed to solve multi-robot task allocation
(MRTA) problems. In particular, a cooperative game is built to assess the performance of …

Log-linear learning is a learning algorithm that provides guarantees on the percentage of
time that the action profile will be at a potential maximizer in potential games. The traditional …

Game theory has been employed traditionally as a modeling tool for describing and
influencing behavior in societal systems. Recently, game theory has emerged as a valuable …

In this paper, we propose a distributed version of the Hungarian method to solve the well-
known assignment problem. In the context of multirobot applications, all robots cooperatively …