Research On Resilience Analysis Method Of Intelligent Combat System-of-Systems Based On Kill Web

Intelligent technologies represented by artificial intelligence have had a profound impact on modern warfare,and have spawned new changes in the combat systems-ofsystems.In the competition for superiority in systems-of-systems confrontation,it is increasingly the key to victory that we are keenly aware of the uncertainty of the battlefield environment,understand the pain points of the enemy’s combat systems-ofsystems,and withstand the enemy’s precise strikes.Resilience measures the ability of the systems-of-systems to adapt to changes in conditions,withstand disturbances,and recover quickly from them.Therefore,a reasonable assessment of the resilience of the combat systems-of-systems is of great value to improving and optimizing the architecture,improving the efficiency of weaponry construction,and building a combat systems-ofsystems that meets the requirements of intelligent warfare and mission fulfillment.Aiming at the difficulties and challenges in the research on the resilience of intelligent combat systems-of-systems,this paper conducts research on the resilience analysis methods of intelligent combat systems-of-systems based on kill web.The main contents and innovations are as follows:(1)The kill web modeling method of intelligent combat systems-of-systems.The intelligent combat systems-of-systems is modeled from the two aspects of static structure and dynamic simulation,and according to the characteristics of its complex functions and diverse interaction relationships,its static network structure is modeled based on the concept of combat loop;in view of the characteristics of confrontation between the enemy and ourselves and dynamic evolution in the course of operation,the dynamic simulation is based on NetLogo to describe the combat process,and give full play to the advantages of the two to jointly portray the combat system as the basis for subsequent resilience assessment and optimization.(2)A multi-disturbance intelligent combat systems-of-systems resilience assessment method is proposed.The concept of resilience of intelligent combat systems-of-systems was expanded on the concept of traditional adaptive resilience,and on this basis,a resilience assessment framework has been constructed.On the basis of the traditional ADC method,improvements are made to evaluate combat effectiveness,and a process model based on combat effectiveness is constructed.Finally,according to the changes in combat effectiveness during the operation,a multi-stage resilience assessment is carried out for multiple disturbances,which consider intermittent disturbance situations and continuous disturbance situations.(3)This paper proposes node protection strategy of intelligent combat systems-ofsystems based on resilience.In the actual combat process,the combat nodes are vulnerable to enemy attacks,failures and other interferences,resulting in a series of chain reactions and even triggering the collapse of the systems-of-systems.Therefore,protecting nodes before combat is conducive to improving the resilience of the systemsof-systems.However,most of the current node protection research focuses on the identification of key nodes,and does not specifically explore how to allocate resources to nodes to continue to protect.Therefore,considering the strength of node protection and the constraints of cost resources,this paper uses genetic algorithms to solve the optimal node protection strategy.(4)Example study.Combined with the proposed method of case study,the resilience analysis process of the intelligent combat systems-of-systems is elaborated,and the effectiveness of the model is verified by comparing with other node protection strategies.