模糊集与故障树复合分析法研究及其在飞行器模拟训练系统中的应用

在传统的故障树分析中 ,类似人为错误的模糊、不精确事件不能得到有效地处理。为了克服这一不足 ,本文运用模糊集评价和概率估计提出了一种故障复合分析方法来评价非常事件。将此方法运用到飞行器模拟训练系统中可有效地对该系统进行故障分析。     

Variational Bayesian labeled multi-Bernoulli filter with unknown sensor noise statistics

It is difficult to build accurate model for measurement noise covariance in complex back-grounds. For the scenarios of unknown sensor noise variances, an adaptive multi-target tracking algorithm based on labeled random finite set and variational Bayesian (VB) approximation is pro-posed. The variational approximation technique is introduced to the labeled multi-Bernoulli (LMB) filter to jointly estimate the states of targets and sensor noise variances. Simulation results show that the proposed method can give unbiased estimation of cardinality and has better performance than the VB probability hypothesis density (VB-PHD) filter and the VB cardinality balanced multi-target multi-Bernoulli (VB-CBMeMBer) filter in harsh situations. The simulations also confirm the robustness of the proposed method against the time-varying noise variances. The computational complexity of proposed method is higher than the VB-PHD and VB-CBMeMBer in extreme cases, while the mean execution times of the three methods are close when targets are well separated.     

基于粗糙集理论的翼型参数优选方法研究

在设计机翼时,通常需要进行多目标决策,而教练机机翼翼型选取的先验经验不足,需要进一步研究,从而得出翼型的选择规则.分析国内外已有教练机机翼翼型使用情况,运用粗糙集理论中基于重要度和条件信息熵结合的权重确定方法,提出在机翼方案设计阶段翼型的选择方法;对比分析三种分段方法在翼型性能指标离散化时的优缺点及其原因,并结合算例进行适用性验证.结果表明:在有限数据条件下,两断点方法是比较合适的属性离散化方法.所提出的方法具有使用价值,对飞机设计方案阶段翼型的选择以及机翼的气动设计具有参考意义.     

盾牌击打试验机的研究

在成功研制盾牌击打试验机的基础上，对盾牌击打试验机能量计算所涉及的理论进行了分析，用击打中心理论解释了击打棍的击打位置和击打能量之间的关系，并给出了试验的具体数据。     

高度专用性人力资本供求与均衡

本文提出了高度专用性人力资本的概念,认为其具有委托代理人双边垄断的性质,在价值形成中具有投资大、周期长和生产过程依赖性特征。它的市场供求几近无弹性,其价格由企业均衡给定。结论认为,高度专用性人力资本对流动性、投入主体风险控制和供求宏观调节等方面具有特殊的要求。     

广义均衡问题和不动点问题的收敛性定理及应用

运用平行算法，提出一种寻求广义均衡问题解及有限个严格伪压缩映像不动点集的公共元的新的迭代格式．在Hilbert空间中．证明了该算法的强收敛性。     

一种改进的基于模糊-粗糙集的属性约简算法

FRSAR(Fuzzy-rough Set Attribute Reduction)是一种基于模糊-粗糙集的属性约简算法,它可以避免离散化时数据信息的丢失,但是该算法中决策属性对条件属性集依赖度的计算设计的不是很完善.本文提出了一种改进的FRSAR算法,它只考虑能够使属性集依赖度增大的属性,这样就降低了计算量.实验结果表明,改进算法和原有算法得到相同的约简结果,但是改进算法的执行时间大大降低.     

Stability-based SDRE controller for spacecraft momentum management

Momentum management of spacecraft aims to avoid the angular momentum accumulation of control momentum gyros through real-time attitude adjustment. An attitude control/momentum management controller based on state-dependent Riccati equation is developed for attitude-stabilized spacecraft. The governing equations of the system are formulated as three-axis coupled with full moment of inertia, which fully capture the nonlinearity of the system and are valid for systems with significant products of inertia or strong pitch to roll/yaw coupling. The state-dependent Riccati equation algorithm brings the nonlinear system to a linear structure having state dependent coefficients matrices and minimizing a quadratic-like performance index. The system equations are nondimensionalized, which avoid numerical problems at the same time make the weighting matrix more predictable. To guarantee closed-loop system stability, the state-dependent Riccati equation algorithm is also modified based on pole placement technique. The state-dependent Riccati equation is online calculated through the computational-efficient θ-D technique which reaches a tradeoff between control optimality and computation load. The dynamic characteristics of the system at torque equilibrium attitude are analyzed. Constraints on moment of inertia for successful momentum management are provided. Simulations demonstrate the excellent performance of the controller.     

A generalized rough set-based information filling technique for failure analysis of thruster experimental data

Interval-valued data and incomplete data are two key problems for failure analysis of thruster experimental data and have been basically solved by the proposed methods in this paper. Firstly, information data acquired from the simulation and evaluation system formed as intervalvalued information system （IIS） is classified by the interval similarity relation. Then, as an improvement of the classical rough set, a new kind of generalized information entropy called ＂H＇-information entropy＂ is suggested for the measurement of uncertainty and the classification ability of IIS. There is an innovative information filling technique using the properties of H＇-information entropy to replace missing data by some smaller estimation intervals. Finally, an improved method of failure analysis synthesized by the above achievements is presented to classify the thruster experimental data, complete the information, and extract the failure rules. The feasibility and advantage of this method is testified by an actual application of failure analysis, whose performance is evaluated by the quantification of E-condition entropy.     

基于水平集方法的连续体结构拓扑优化方法研究

考虑到现有各种连续体结构拓扑优化方法的优缺点,提出了一种新的连续体结构拓扑优化新策略。该方法将无网格法和水平集方法结合起来,充分发挥各自的优点,使得该拓扑优化新策略具有良好的收敛性和计算精度。