In this paper, the distributed optimization problem for multi-agent system with time-varying communication delay tau(t) is studied based on game theory. Firstly, the distributed optimization problem min(x) phi(x) is m...
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In this paper, the distributed optimization problem for multi-agent system with time-varying communication delay tau(t) is studied based on game theory. Firstly, the distributed optimization problem min(x) phi(x) is modeled as a state based ordinal potential game model G. Then, the existence and validity of the Nash equilibrium in the game model are verified. In addition, a revenue-based strategy learning algorithm is designed under topology network with tau(t) to find the Nash equilibrium. Finally, a numerical simulation illustrates the results.
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