In the process of ammunition support， the amount of ammunition reserve in wartime affects not only a certain aspect of the ammunition support system but the whole system. The traditional experience alone cannot make a correct judgment on some decisions. This model proposes a method based on system dynamics， analyzes the internal factors of the ammunition supply system in wartime， and establishes the dynamics model of the ammunition support system in wartime. Under the condition that ammunition consumption rate and ammunition supply time are fixed， the optimal value of unit ammunition reserve is calculated by vensim software simulation. The influence of ammunition replenishment time and ammunition reserve before the war on ammunition support during wartime is analyzed by changing the ammunition replenishment time and ammunition reserve before war combined with the fluctuation curve of ammunition replenishment rate， to obtain the numerical influence of the change of one variable on other variables， which can provide relevant data reference for commanders in ammunition support decision-making.

Due to a number of contradictory design requirements of missile launch systems with outstanding performances， such as heavy load， light weight， low cost and rapid response， parameter-matching optimization on multiple constraints is indispensable. In respect to above problems， association rule mining is applied to study the effect of launch system design factors in this paper. Association rules mining model of launch system design factors is established. In addition to support-confidence framework， Kulc and IR are led into pattern evaluation to enhance the mining accuracy. An engineering example is carried out to study the effect of design parameters on rapid response. The results of the example indicate the method in this paper is able to identify the factors that play critical roles in rapid response and to realize the purpose of design space refining， optimization problems simplification and design optimization efficiency improvement.

Electromagnetic scattering data is essential for the recognition of targets. However， due to issues such as high cost and poor repeatability of experimental measurements， the quantity of measured electromagnetic scattering data of targets is very limited. A dynamic electromagnetic scattering data simulation method for air targets was studied based on the N-point model with hidden points removed and electromagnetic calculation data interpolation. Additionally， a dynamic electromagnetic scattering data simulation system for air targets was designed. This system integrated electromagnetic scattering simulation with actual flight scenes and supported scene definition and expansion of 3D models for air targets. Simulation data and imaging results of aircraft and cruise missiles were analyzed. The results show that the simulation method is correct， and the system is effective. The system can support the research on the recognition of air targets in actual scenes.

Aiming at the temperature control problem of the hypersonic vehicle transpiration cooling system， this paper proposes an active disturbance rejection controller （ADRC） to adjust the temperature of the porous medium on the vehicle wall based on the one-dimensional fixed boundary sweating cooling model， whose effectiveness and advantages are verified by a numerical simulation. The controller does not rely on the precise mathematical model of the temperature field of the porous medium. The heat flow disturbance is suppressed by extracting and compensating disturbance information from the input and output data of the system. The simulation results show that the ADRC designed for the transpiration cooling system can quickly track the reference temperature. Compared with the traditional PID control， the temperature response under ADRC has no overshoot. In addition， when external heat flow interference occurs， the ADRC has strong robustness and adaptability， which can provide a certain reference for the engineering application of transpiration cooling control systems.

In the testability verification test of electronic equipment， due to the high degree of circuit integration， the fault mode may be caused by one or more failure mechanisms， and traditional means such as thermal failure analysis can no longer effectively analyze the deep fault mode of electronic equipment， which leads to the reduction of the credibility of test samples. An improved fault mode analysis method based on the combination of failure physics and fault tree is proposed. Taking the overvoltage protection circuit in the power module of an electronic equipment as an example， the failure physics model is used to calculate the failure rate and criticality from the device level failure mode analysis， and the FMECA results of the overvoltage protection circuit are obtained. Guided by the fault tree analysis method， the FMECA results are verified by comparing the priority of the two according to the similarity between the definition of the probability importance of the bottom event and the criticality of the electronic components. According to this method， the fault mode analysis results of electronic equipment are finally obtained with high accuracy， which effectively improves the reliability of testability verification test samples.

According to the development of US Ballistic Missile Defense System （BMDS） and the operational concept of kill chain and kill net， the concept and their closure of the information chain， time chain， energy chain， recognition chain， precision chain within the kill chain of US BMDS are analysed with the typical example of U.S. ground-based midcaurse defense system against the North Korea’s intercontinental ballistic missile attacking American mainland. The kill net and its comprehensive defense capability of ballistic missile defense for American mainland and overseas theater are analysed with the typical examples.

In order to avoid the backtracking operation of AO* algorithm and Rollout algorithm， and to overcome the problem of poor optimality of information entropy algorithm， and achieve the purpose of fault detection and isolation of equipment with low test cost， a diagnostic strategy construction method combining one-step and multi-step optimization is proposed. Based on the similarity between diagnostic strategy construction and noiseless coding， a one-step or multi-step optimal search method is selected according to the probability distribution of the fault state fuzzy set. When the fault with the highest probability in the fuzzy set of fault states meets certain conditions， it is prioritized for isolation and the corresponding test sequence is generated so that the fault with higher priori probability has less test steps and costs, so as to reduce the overall cost of diagnosis. Through the analysis and verification of examples， the concrete process of constructing the diagnostic strategy is given， and the effectiveness of the method is proved.