Multi-agent team cooperation: A game theory approach

• Published in: Automatica (Oxford) Vol. 45; no. 10; pp. 2205 - 2213
• Main Authors: Semsar-Kazerooni, E., Khorasani, K.
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 01.10.2009; Elsevier
• Subjects: Adaptative systems; Applied sciences; Computer science; control theory; systems; Consensus algorithms; Control system analysis; Control system synthesis; Control theory. Systems; Cooperation; Cooperative control; Cost engineering; Cost function; Exact sciences and technology; Game theory; Minimization; Multi-agent networks; Optimal control; Optimization; Strategy; Multi-agent networks; Game theory; Optimal control; Cooperative control; Consensus algorithms; Nash strategy; Cost minimization; Pareto optimum; Average cost; Control synthesis; Adaptive control; Consensus; Optimal strategy; Multiagent system; Decentralized control; Cooperation; Bargaining; Team work; Distributed control; Linear matrix inequality; Team theory; Cooperative game

The main goal of this work is to design a team of agents that can accomplish consensus over a common value for the agents’ output using cooperative game theory approach. A semi-decentralized optimal control strategy that was recently introduced by the authors is utilized that is based on minimizatio...