Application-specific protocol architectures for wireless networks
Application-specific protocol architectures for wireless networks
Cooperative Multi-Agent Learning: The State of the Art
Autonomous Agents and Multi-Agent Systems
A scheme for robust distributed sensor fusion based on average consensus
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Regret based dynamics: convergence in weakly acyclic games
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations
Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations
Cooperative Control of Distributed Multi-Agent Systems
Cooperative Control of Distributed Multi-Agent Systems
Payoff-Based Dynamics for Multiplayer Weakly Acyclic Games
SIAM Journal on Control and Optimization
An Immunity Inspired Real-Time Cooperative Control Framework for Networked Multi-agent Systems
ICARIS '09 Proceedings of the 8th International Conference on Artificial Immune Systems
Optimal gateway selection in multi-domain wireless networks: a potential game perspective
MobiCom '11 Proceedings of the 17th annual international conference on Mobile computing and networking
The Knowledge Engineering Review
TAMC'12 Proceedings of the 9th Annual international conference on Theory and Applications of Models of Computation
Automatica (Journal of IFAC)
Cognitive Radio Bandwidth Sharing Scheme Based on the Two-way Matching Game
Wireless Personal Communications: An International Journal
Operations Research
Lie bracket approximation of extremum seeking systems
Automatica (Journal of IFAC)
Optimal leader allocation in UAV formation pairs ensuring cooperation
Automatica (Journal of IFAC)
Hedonic coalition formation for optimal deployment
Automatica (Journal of IFAC)
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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 how several cooperative control problems, such as consensus and dynamic sensor coverage, can be formulated in these settings. Motivated by this connection, we build upon game-theoretic concepts to better accommodate a broader class of cooperative control problems. In particular, we extend existing learning algorithms to accommodate restricted action sets caused by the limitations of agent capabilities and group-based decision making. Furthermore, we also introduce a new class of games called sometimes weakly acyclic games for time-varying objective functions and action sets, and provide distributed algorithms for convergence to an equilibrium.