在具有不确定样本下平均故障间隔时间的估计方法

针对武器系统和产品的可靠性试验中的不确定因素,对试验没有完成的情况,研究利用非传统的统计分析法估计武器装备平均故障间隔时间.     

一种新型的不精确推理——SCESS不精确推理

本文是以模糊数学理论为基础,并考虑了人的心理因素,构造出一种新型的不精确推理。它已在一个实用的专家系统——突发性案件专家支持系统(SCESS)中得到实现。该推理能处理用单个数值、模糊区间和自然语言描述的不精确知识的可信度,并通过用户的态度得出相应的结论。     

Adaptive fault-tolerant control based on boundary estimation for space robot under joint actuator faults and uncertain parameters

Since the joint actuator of the space robot executes the control instructions frequently in the harsh space environment, it is prone to the partial loss of control effectiveness (PLCE) fault. An adaptive fault-tolerant control algorithm is designed for a space robot system with the uncertain parameters and the PLCE actuator faults. The mathematical model of the system is established based on the Lagrange method, and the PLCE actuator fault is described as an effectiveness factor. The lower bound of the effectiveness factors and the upper bound of the uncertain parameters are estimated by an adaptive strategy, and the estimated value is fed back to the control algorithm. Compared with the traditional fault-tolerant algorithms, the proposed algorithm does not need to predetermine the lower bound of the effectiveness factor, hence it is more in line with the actual engineering application. It is proved that the algorithm can guarantee the stability of the closed-loop system based on the Lyapunov function method. The numerical simulation results show that the proposed algorithm can not only compensate for the uncertain parameters, but also can tolerate the PLCE actuator faults effectively, which verifies the effectiveness and superiority of the control scheme.     

探索性分析在作战实验中的应用

现代作战系统特征复杂,采用当前的作战实验方法对作战运行规律进行分析研究时,层次较低、缺乏整体性、对作战行为指导意义不明显。针对此问题,结合探索性分析思想,提出一种基于探索性分析的作战实验方法,设计了方法的研究框架,给出了主要研究内容的关键技术解决方法。最后,进行了实例分析,结果表明,方法在作战方案优化方面能起到较好的效果。     

基于模糊加权法的雷达辐射源识别

为有效解决雷达信号的不确定性问题,将模糊加权理论和不确定性推理应用于雷达辐射源识别,仿真试验表明方法是有效的。该方法不仅适应雷达特征参数连续变化的情况,而且计算简单、性能较好。