【作者】 唐立军；

【导师】 王建中；

【作者基本信息】 中北大学 ， 测试计量技术及应用， 2008， 博士

【摘要】 网络中心战是信息化战争发展的必然趋势，指挥控制系统是网络中心战中的重要组成部分之一，该系统为武器系统作战提供实时、可靠的作战指挥决策，使武器系统的整体作战效能得到充分发挥。本文主要对网络中心战下指挥控制系统所涉及到的一些主要决策方法进行研究，在此基础上设计一套指挥控制决策仿真系统。针对网络中心战特点及功能，结合战术互联网结构，研究了网络中心战通信网络的动态重组决策问题，具体研究了网络重组策略和网络链路重组策略，通过对两种网络重组决策算法进行了仿真测试，证明了动态重组策略的有效性和可行性，为构建网络中心战的通信网络提供有效途径。目标威胁估计及火力优化分配是指挥控制系统中作战辅助决策的两个重要问题。针对目标威胁估计的特点，提出了基于支持向量机的目标威胁估计模型，为使模型具有主客观特性，采用基于专家经验知识的模糊综合评价方法获取模型的训练及测试数据，通过实例仿真验证及对比，验证了该方法的有效性：在综合考虑多武器系统对抗多目标的作战效能前提下，采用遗传算法和粒子群优化算法分别对火力分配模型进行优化求解，通过对具体实例仿真，验证了决策方法的有效性和优越性。针对网络中心战下的战术互联网及C~4SIR系统效能评估及预测问题，分别采用RBF神经网络和基于D-S证据理论的Elman网络对战术互联网及C~4SIR系统进行了作战效能评估和预测。通过仿真表明，RBF神经网络可以有效地对战术互联网进行静态评估；而基于D-S证据理论的Elman神经网络可以有效地动态预测作战过程效能的变化，减少了预测模型的复杂度，消除了不确定因素，为作战效能的动态预测提供一种新途径。为节省C~4SIR系统建设费用，并提高系统作战效能，研究了C~4SIR系统效费比分析与决策问题。提出了一种属性为模糊区间数且属性权重未知的不确定型多属性决策模型，对C~4SIR系统效费比进行综合评价。分别采用最优理论和专家环比法获取属性权重，通过选择加权参数的取值来调节模型的趋向，使模型具有较强的泛化能力；通过对具体C~4SIR系统效费比决策分析，验证了该方法可有效地对C~4SIR系统方案进行优选。根据网络中心战指挥控制系统的功能及特点，设计并实现了网络中心战下防空指挥控制决策仿真系统。具体对作战仿真系统的结构、设计过程及仿真建模方法等进行阐述；描述了网络中战下防空指挥控制决策系统的仿真框架及系统软件的设计原理，为构建适合信息化战场需求的网络中心战防空指挥控制决策系统提供了理论及技术依据。最后给出全文的总结和展望。更多还原

【Abstract】 Network centric warfare is necessary trend of information battle development, andas one important part of it, command and control system provides real time andreliable fighting command dccision for weapon system, making the holistic fightingefficiency of weapon system have its full play.The thesis has studied some main theory methods referred to the command andcontrol system of network centrie warfare, on the basis of these, a suit of thedecision-making simulation system of command and control has been designed.According to the characters and functions of network centric warfare, andintegrating the structure of tactics internets, the dynamic recombine decision-makingproblem of communication network in network centric warfare is researched. Thereinto, network recombine strategy and link recombine strategy have been researchedconcretely, and via simulation and testing on those two decision-making methods,validity and feasibility of two dynamic recombine strategies have been proved, whichprovide effective decision-making approach for communication network of networkcentfic warfare.Object threat assessment and firepower allocation are two important assistantdecision-making problems of fighting of command and control system. Aiming to thecharacteristic of object threat assessment, an object threat assessment model based onsupport vector machine (SVM) is put forward, and in order to make model hassubjective and objective characteristic, fuzzy synthetic evaluation method is adopt toobtain training and testing data for this model. Through a numerical example of aerialdefense object threat assessment and comparing with other existed methods, theresults show the rationality and superiority of the method. Considering theprecondition of counterwork between multi-weapon and multi-object, firepowerallocation model have been solved by genetic algorithm (GA) and particle swarmoptimization (PSO) algorithm separately, then through examples simulation andtesting, the results prove the validity and superiority of these two assistantdecision-making methods. Aiming at problems of efficiency evaluation and prediction on tactics internetsand C~4SIR system, one fighting efficiency evaluation method based on RBF networkof tactics internets and one fighting efficiency prediction method using Elmannetwork based on D-S evidence theory on C~4SIR system have been put forwardseparately. Via simulation of two methods, the results proves that RBF network cangive a effective static efficiency evaluation for fighting tactics internets, moreover,Elman network based on D-S evidence theory can forecast fighting efficiency changeprocession dynamically, which reduces the complexity of prediction model, andavoids uncertain factors existed in system, so one new approach on dynamicprediction of fighting efficiency has been set up.In order to economize construction expenditure of C~4SIR system and improvesystem fighting efficiency, a decision-making analysis model on ratio of cost to effectivenessof C~4SIR system is researched in the thesis. One uncertain multi-attribute decisionmodel existing fuzzy section data and weigh unknown of attributes is set up, whichgives synthesis evaluation on ratio of cost to effectiveness of C~4SIR system. In thisdecision-making analysis model, the optimization theory and expert loop method areadopted to obtain attributes weighs, via electing weighs value to adjust model trend,makes this model have more extensive ability.According to function and characteristic of command and control system ofnetwork centric warfare, the decision-making simulation system of aerial defensecommand and control system have been designed and realized. The structure,designing procession and simulation methods are narrated separately, in addition, thesystem simulation frame and software designing principle are also described, whichall these provide theory and technology references of constructing decision-makingsimulation of aerial defense command and control system in network centric warfare byway of adapting to demand of information battle.Finally, the thesis gives the summary and expectation.更多还原