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Abstract
In view of the problems such as low efficiency, difficulty in resolving local conflicts and lack of practical application scenarios, existing in the interaction model of multi-agent systems in a distributed environment, a multi-master multi-slave interaction model was designed based on the Stackelberg game, which is applied to the interaction game problem between the controller and the participant in the command and control process. Through optimizing the Stackelberg game model and multi-attribute decision-making, the multi-master, multi-slave, multi-agent system of the Stackelberg game was designed, and the closed loop problem under the Stackelberg game is solved for dimension reduction and optimal function value. Finally, through the numerical derivation simulation and the training results of related system data, the high efficiency and strong robustness of the model were verified from multiple perspectives, and this model algorithm was proved to be true and highly efficient.
Highlights
With the rapid development of network information technology, intelligent command and control is widely applied in military, network, biological and other fields to realize intelligent control, and it has a high degree of sensitivity and accuracy in information task management and command control [1]
In this paper, the original model was improved, and based on the relevant concept of distributed collaboration, a multi-master and multi-slave game model was established, wherein leader was redefined as the accuser, and the followers were defined as the participants so as to make the accuser adjust the follow-up action plan according to the participants’ decision-making scheme and maintain the benefits of participants to the greatest degree, obtaining the maximization of global income
The closed-loop solution of multi-master and multi-slave Stackelberg game model under the accuser participants has the nonlinear characteristics, there is no explicit solution, so under certain conditions, this paper will use the regularity of a positive semidefinite matrix to give a closed-loop solution to the Stackelberg game, obtain the optimal decision through the accuser, optimize the participants’ decision-making, obtain the optimal decision scheme of participants, and eventually maximize the overall revenue
Summary
With the rapid development of network information technology, intelligent command and control is widely applied in military, network, biological and other fields to realize intelligent control, and it has a high degree of sensitivity and accuracy in information task management and command control [1]. Based on the command and control model of multi-agent system under the distributed cooperative engagement, the game theories within the multi-agent system were discussed and studied, a multi-master and multi-slave Stackelberg game model was proposed [19]. It took two types of major decisions in the process of operation command as the research objects, one is accuser, namely leader, who is responsible for the command and control of the combat process; The other is the participant, namely, the follower, who is responsible for executing the decision scheme generated by the accuser. Based on reasonable battlefield resource deployment and cooperative control between combat units, the multi-agent system with low resource loss was used to replace a single complex system with high resource loss, so as to achieve higher benefits
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