Local structure of NiAl compounds investigated by extended X‐ray absorption fine‐structure spectroscopy

The local structures of pure NiAl and Ti‐, Co‐doped NiAl compounds have been obtained utilizing extended X‐ray absorption fine‐structure (EXAFS) spectroscopy. The results provide experimental evidence that Ni antisite defects exist in the Ni‐rich NiAl compounds. The site preference of Ti and Co has been confirmed. Ti occupies the Al sublattice, while Co occupies the Ni sublattice. The structure parameters obtained by EXAFS were consistent with the X‐ray diffraction results. Owing to the precipitation of α‐Cr, the local structure of NiAl‐Cr has not been obtained, making the site preference of Cr unclear.     

非完整信息条件下的结构可靠性鲁棒设计

在非完整信息条件下,建立区间变量、模糊变量、随机变量同时存在的可靠性设计模型,并给出相应的序列优化设计方法;同时考虑设计变量的实现值与设计值之间的差别以及约束条件的鲁棒性,提出基于info-gap决策理论的鲁棒优化模型,研究可靠性鲁棒设计的序列求解策略。算例1表明:模糊可靠性设计比随机可靠性设计结果保守,当模糊设计指标α=0时(对应区间可靠度)结果最为保守。算例2表明:不同的鲁棒性指标αt对应不同的鲁棒优化解,当αt大于0.20时,不存在相应的鲁棒优化解。利用本文提出的鲁棒序列优化求解方法对目标函数计算1291次即可,而常规优化算法需8107次,表明本文算法大大提高了计算效率。     

一种改进的粒子滤波算法在SINS初始对准中的应用

在实际工程环境中,针对捷联惯导系统(SINS)大失准角初始对准中噪声统计特性未知的问题,设计了一种基于H?滤波算法的鲁棒无迹粒子滤波算法(RUPF)。通过将无迹卡尔曼滤波算法(UKF)和鲁棒环节引入到粒子滤波(PF)的重要性密度函数中,得到了RUPF算法,提高了算法的鲁棒性。通过半物理实验,将RUPF算法与无迹粒子滤波算法(UPF)在SINS静基座大失准角对准中的性能进行了比较,在不同实验条件下,航向失准角精度至少提高了40%,对准精度优于0.05°,对准时间减少了约50 s。实验结果表明,RUPF算法可以以较高的精度和较快的速度完成大失准角初始对准,且对准精度和对准速度均优于UPF算法。     

卫星分群的抗差Kalman滤波在GPS/BDS融合精密单点定位中的应用

抗差Kalman滤波是控制GNSS动态导航定位中观测异常的有效算法,当应用到GPS/BDS实时动态精密单点定位(Precise Point Positioning,PPP)时,会出现某些历元定位精度甚至不如单一系统定位精度高,这主要是因为同一接收机接收的不同种类卫星观测量的随机特性不同,使得观测量验后残差的分布特性不一致,抗差估计时随机特性不同的观测量验后残差互比,反而对某一系统优质数据也进行了降权,导致定位结果出现偏差,减弱了GPS/BDS融合精密单点定位的优势。针对这一问题,提出了卫星分群的抗差Kalman滤波算法,并应用到GPS/BDS融合精密单点定位中,算法的核心是在每一历元观测数据质量控制时根据卫星类型分类构建方差膨胀因子,给出了算法的实施步骤,最后通过MGEX实测数据进行了验证,结果表明算法应用到GPS/BDS融合精密单点定位中,相较传统的抗差Kalman滤波算法在东、北、天三个方向分别提高了34.6%、33.3%、31.0%,同时表明该算法提高了GPS/BDS融合精密单点定位的可靠性。     

时变通信延迟下的无人机编队鲁棒自适应控制

在时变通信延迟下研究了无人机群编队的鲁棒自适应控制问题。对于无人机编队系统中存在外部扰动和模型不确定性的情况,通过选取包含位置跟踪误差和速度跟踪误差的辅助变量,提出了一种适用于时变通信延迟的鲁棒自适应编队控制策略。提出了自适应律对无人机质量、外界扰动的上界等未知参数进行估计,并且利用Lyapunov稳定性理论分析了闭环系统的渐近稳定性,给出了系统渐近稳定所需要满足的条件。数值仿真结果表明,所提出的控制方法既能抑制外界扰动和模型不确定性对控制器的影响,同时队形跟踪和队形保持的稳态误差分别小于0.1 m和0.05 m。     

Scalar-quadratic stabilizability of the Petersen counterexample via a linear static controller

A new property called scalar-quadratic is presented for establishing the stabilizability of linear time-varyring uncertain systems. It is applied to a well-known linear time-varying system _OL which contains two uncertainties ₁(t) and ₂(t). Using the Lyapunov functionsV(x)=x ^T Px, whereP is a constant postitive-definite symmetric matrix, previous authors have shown that _OL is stabilizable by linear static controllers when the time-varying uncertainties are bounded by a normalized bound satisfying < 0.8. We extend the bound to < 1.0 by using the more general Lyapunov functions satisfying the scalar-quadratic propertyV(ax)=a ² V(x), aR, xR ₀ ² .Our proof uses a hexagon as a closed, convex hypersuface to construct a scalar-quadratic Lyapunov function, so that the Lyapunov time derivative satisfies the quadratic convergence condition , >0, for the closed-loop system _CL formed from _OL and a stabilizing linear static controller. The critical condition in the proof of the quaratic convergence ondition is the satisfaction of the inequality , where _max is a normalization bound for ₁(t) and ₂(t) and wheree ₁ ande ₂ are parameters for the controller. For the controller parametrized bye ₁=8 ande ₂=20, this inequality reduces to _max < 2.2096. This result, in particular, establishes that the Petersen counterexample is stabilitzable by the linear static controller withe ₁=8 ande ₂=20. Furthermore, it establishes the amazing result that _OL is stabilizable by a linear static controlle on any compact subset of the constant uncertainaty controllability space defined by ₁>0 and ₂>0.     

A robust principal component analysis

A robust principal component analysis for samples from a bivariate distribution function is described. The method is based on robust estimators for dispersion in the univariate case along with a certain linearization of the bivariate structure. Besides the continuity of the functional defining the direction of the suitably modified principal axis, we prove consistency of the corresponding sequence of estimators. Asymptotic normality is established under some additional conditions.     

ROBUST STABILITY FOR DEGENERATE NEUTRAL SYSTEMS WITH MIXED TIME-VARYING DELAYS

This paper concerns the stability and robust stability criteria for degenerate neu-tral systems with mixed time-varying delays. A method based on the stability of a new operator D and the linear matrix inequalities is presented that makes it easy to calculate both the upper stability bounds and the free weighting matrices. Since the criteria take the time-varying delays and degenerate neutral systems into account, they are less conservative than previous methods. The Matlab LMI toolbox illustrates the impro...     

Derivation of intuitionistic fuzzy weights based on intuitionistic fuzzy preference relations

This paper proposes linear goal programming models for deriving intuitionistic fuzzy weights from intuitionistic fuzzy preference relations. Novel definitions are put forward to define additive consistency and weak transitivity for intuitionistic fuzzy preference relations, followed by a study of their corresponding properties. For any given normalized intuitionistic fuzzy weight vector, a transformation formula is furnished to convert the weights into a consistent intuitionistic fuzzy preference relation. For any intuitionistic fuzzy preference relation, a linear goal programming model is developed to obtain its intuitionistic fuzzy weights by minimizing its deviation from the converted consistent intuitionistic fuzzy preference relation. This approach is then extended to group decision-making situations. Three numerical examples are provided to illustrate the validity and applicability of the proposed models.     

分布时滞系统的动态输出反馈鲁棒稳定

主要研究了一类具分布时变时滞不确定系统的输出反馈鲁棒稳定问题.基于动态输出反馈和Lyapunov-Krasovskii泛函,给出了闭环系统与时滞相关的鲁棒稳定的条件.所得条件为线性矩阵不等式形式,便于运用内点算法进行求解.