Multi-agent differential graphical games: Online adaptive learning solution for synchronization with optimality

Multi-agent systems arise in several domains of engineering and can be used to solve problems which are difficult for an individual agent to solve. Strategies for team decision problems, including optimal control, N-player games (H-infinity control and non-zero sum), and so on are normally solved fo...

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Veröffentlicht in:	Automatica (Oxford) Jg. 48; H. 8; S. 1598 - 1611
Hauptverfasser:	Vamvoudakis, Kyriakos G., Lewis, Frank L., Hudas, Greg R.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Kidlington Elsevier Ltd 01.08.2012 Elsevier
Schlagworte:	Applied sciences Artificial intelligence Best response Calculus of variations and optimal control Computer science; control theory; systems Computer systems and distributed systems. User interface Consensus Cooperative Hamilton–Jacobi equations Cooperative Nash-equilibrium Decision theory. Utility theory Dynamical systems Exact sciences and technology Games Graphical games Learning Mathematical analysis Mathematics On-line systems Online Operational research and scientific management Operational research. Management science Policies Policy iteration Sciences and techniques of general use Software Strategy Cooperative Nash-equilibrium Cooperative Hamilton–Jacobi equations Policy iteration Best response Graphical games Consensus Policy Nash equilibrium Adaptive control Adaptive method N person game Multiple decision Optimal decision Indirect method Cooperation Off line Game equilibrium Optimal control (mathematics) Matrix equation Intelligent control Cooperative game Stability Operator equation Cooperative Hamilton-Jacobi equations Decision making Reinforcement learning H infinite control Real time Game theory Computer games Standards Social decision Multiagent system Hamilton Jacobi equation Optimal control Distributed control Internet Riccati equation Artificial intelligence
ISSN:	0005-1098, 1873-2836
Online-Zugang:	Volltext
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