基于协同学理论的舰艇CGF反潜态势识别研究  

Research on Process of Naval Ship Anti-submarine State Identification Based on Synergetics

作　　者：孙珠峰[1] 赵亮[1] 薛昌友[1] 

机构地区：[1]海军潜艇学院,山东青岛266071

出　　处：《系统仿真学报》2006年第9期2616-2619,共4页Journal of System Simulation

摘　　要：在潜艇训练仿真系统中,计算机生成兵力需要仿真多舰艇协同反潜作战的过程,而对反潜态势的正确判断是进行战术决策的一个重要方面。在分析哈肯基本协同网络的基础上,指出了其在处理某些实际问题方面的不足,并提出了一种广义协同网络模型和该模型的快速算法,讨论了应用该模型识别舰艇CGF战场态势问题,最后用仿真实例验证了协同网络的有效性。It＇s necessary for the Computer Generated Force to simulate naval fleet＇s anti-submarine process in submarine training and simulation system. Correct judgement on anti-submarine battlefield state is one of the important issues before tactical dicision is made. On the base of analysis of Haken Basic Synergetics Net （HBSN）, the shortcoming of HBSN was pointed out and the concept of Generalized Synergetics Net （GSN） was brought forward, along with a quick algorithm for GSN. The HBSN model was used to identify the battlefield state for naval ship Computer Generated Force＇s anti-submarine process. At last, a simulation sample was given to validate the usefullness of Generalized Synergetics Net.

关 键 词：协同学 计算机生成兵力 反潜过程 广义协同网络 

分 类 号：TP319[自动化与计算机技术—计算机软件与理论]