Multi- intelligent-agent coordination control method based on evolutionary game theory
A multi-agent, coordinated control technology, applied in the direction of adaptive control, general control system, control/regulation system, etc., can solve problems such as affecting the realization of system goals, optimal deviation of the total utility of group interests, and ignoring influence.
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[0027] Step 1: Establish a multi-agent theoretical framework.
[0028] Establish a multi-agent system with a population size of n (N={1,2,…,n}), where the agent is expressed as {Agent i |i∈N}, define the agent as follows Agent i =(S i ,B i ,C i ,Fi ). Among them, state (State), S i , representing the actions taken by the agent, the state space consists of two different actions, S i ∈{A,B}, the agent can choose strategy A or B according to its interests. its behavior (Behavior), B i , according to the difference between its income and the average income of its neighbors to make decision switching.
[0029] Step 2: Establish the topological relationship between agents.
[0030] This example only considers the behavior selection of the agent, and does not pay attention to the change of the interaction relationship between the agents, so the connection relationship of the agents is represented by the preset static topology. Communication, C i , representing the agent Ag...
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