基于神经网络的一类非线性系统的变结构控制

在已知名义系统的基础上 ,将小脑关节模型控制器 (CMAC)神经网络用于一类状态反馈可线性化的多输入多输出连续时间非线性系统的变结构控制中。利用自适应技术估计了估计误差的大小 ,减小了系统的不确定性 ,并利用模糊控制技术调整了变结构增益 ,改善了系统的性能。在很弱的假设条件下 ,应用Lyapunov稳定性定理证明了闭环系统内的所有信号为均匀最终有界。算法在导弹控制系统中的应用进一步证明了本文方法的有效性。     

轨道动力学可视化仿真研究

研究了在机车车辆一轨道耦合动力学视景仿真系统中，轨道系统动态行为仿真的逼真性和实时性问题，提出了一种能准确模拟轨道系统振动行为的有限长轨道单元法，考虑到钢轨以梁的形式参与振动的实质，通过实时建立具有一定垂向、横向和扭转振动形态的钢轨模型来模拟钢轨的振动行为。仿真结果表明，在保证优良的实时性的同时，利用该方法不仅可以建立更加符合实际的轨道模型，而且还能真实地模拟轨道子系统各组成部件的各种特殊振动行为。     

线性定常模糊随机系统的响应分析

证明了线性定常模糊随机系统的输出在均方意义下的收敛性,并给出了系统响应的模糊概率特征关系方程。     

Group consensus for multiple networked Euler-Lagrange systems with parametric uncertainties

In this paper,a group consensus problem is investigated for multiple networked agents with parametric uncertainties where all the agents are governed by the Euler-Lagrange system with uncertain parameters.In the group consensus problem,the agents asymptotically reach several different states rather than one consistent state.A novel group consensus protocol and a time-varying estimator of the uncertain parameters are proposed for each agent in order to solve the couple-group consensus problem.It is shown that the group consensus is reachable even when the system contains the uncertain parameters.Furthermore,the multi-group consensus is discussed as an extension of the couple-group consensus,and then the group consensus with switching topology is considered.Simulation results are finally provided to validate the effectiveness of the theoretical analysis.     

Reduced K-best sphere decoding algorithm based on minimum route distance and noise variance

This paper focuses on reducing the complexity of K-best sphere decoding （SD） algorithm for the detection of uncoded multi-ple input multiple output （MIMO） systems. The proposed algorithm utilizes the threshold-pruning method to cut nodes with partial Euclidean distances （PEDs） larger than the threshold. Both the known noise value and the unknown noise value are considered to generate the threshold, which is the sum of the two values. The known noise value is the smal est PED of signals in the detected layers. The unknown noise value is generated by the noise power, the quality of service （QoS） and the signal-to-noise ratio （SNR） bound. Simulation results show that by considering both two noise values, the proposed algorithm makes an efficient reduction while the performance drops little.     

Multi-dimensional scattering properties diagnosis system of scale aircraft model in an anechoic chamber

Aiming at the concept of ＂diagnosis＂, a simple and effective broadband radar cross section （RCS） measurement system is constructed, and some multi-dimensional scattering properties diagnosis techniques are presented based on the system. Firstly, a stepped-frequency signal is employed to achieve high range resolution, combining with a variety of signal processing tech- niques. Secondly, cross-range resolution is gained with a rotating table, and the high-resolution two-dimensional （2-D） imaging of the scale model is obtained by the microwave imaging theory. Finally, two receiving antennas with a small distance in altitude are used, and the three-dimensional （3-D） height distribution of scattering points on the scale model is extracted from the phase of images. Some typical bodies and a scale aircraft model are diagnosed in an anechoic chamber. The experimental results show that, after scaling with a metal sphere, the accurate one- dimensional （l-D） RCS pattern of the model is obtained, and it has a large dynamic range. When the bandwidth of the transmitting signal is 4 GHz, the resolution of the 2-D image can reach to 0.037 5 m. The 3-D height distribution of scattering points is given by interferometric measurement. This paper provides a feasible way to obtain high-precision scattering properties parameters of the scale aircraft model in a conventional rectangular anechoic chamber.     

Image separation using wavelet-complex shearlet dictionary

This paper presents a new method for image separation through employing a combined dictionary consisting of wavelets and complex shearlets. Because the combined dictionary sparsely represents points and curvilinear singularities respectively, the image can be decomposed into pointlike and curvelike parts as accurate as possible. The proposed method based on the geo- metric separation theory introduced by Donoho in 2005 shows that accurate geometric separation of the morphologically distinct fea- tures of points and curves can be achieved by l1 minimization. The experimental results show that the proposed method can not only be effective but also greatly reduce the computing time.     

Empirical likelihood inference for logistic equation with random perturbation

Empirical likelihood (EL) combined with estimating equations (EE) provides a modern semi-parametric alternative to classical estimation techniques such as maximum likelihood estimation (MLE). This paper not only uses closed form of conditional expectation and conditional variance of Logistic equation with random perturbation to perform maximum empirical likelihood estimation (MELE) for the model parameters, but also proposes an empirical likelihood ratio statistic (ELRS) for hypotheses concerning the interesting parameter. Monte Carlo simulation results show that MELE and ELRS provide competitive performance to parametric alternatives.     

隔离桩对堆载下群桩下拉荷载的屏蔽效应

目前关于隔离桩对堆载下群桩负摩阻力及下拉荷载屏蔽效应的研究甚少,我国规范也未对隔离桩的设计参数给出建议。定义下拉荷载屏蔽效应系数这一概念;建立考虑桩-土作用的三维有限元模型,通过数值计算结果与模型试验数据的对比,验证数值模型的准确性。以群桩效应系数和下拉荷载屏蔽效应系数为评价指标,研究隔离桩对堆载下基桩负摩阻力与下拉荷载的屏蔽效果,分析隔离桩桩长、边长、与最外侧基桩间距3个因素对屏蔽效果的影响规律,对隔离桩的设置给出参考。研究成果可为堆载时群桩负摩阻力的消除及隔离桩的优化设计提供参考。     

鸟类起源研究取得重大进展

鸟类起源于兽脚类恐龙的假说得到了广泛承认,但鸟类起源研究方向依然存在许多薄弱环节,主要包括鸟类手指同源问题、兽脚类分异时间框架问题以及羽毛起源和早期演化的一些问题。我们近年来在这些问题上取得了一系列重要进展。化石资料显示,兽脚类恐龙在向鸟类进化当中,其外侧两指退化;而现代发育学证据表明,鸟类手指是两侧退化,保留了中间3指。我们通过研究新疆侏罗系地层中发现的泥潭龙,提出了一种外侧和两侧退化模式结合的新假说。该假说可以解释古生物学与发育学资料之间的矛盾。我们报道的一件产自辽宁中上侏罗统髫髻山组的近鸟龙化石,代表了早于始祖鸟的带羽毛的物种,我们提出了包括鸟类在内的主要兽脚类恐龙类群出现于中侏罗世的一个快速演化事件,解决了有关鸟类兽脚类恐龙起源假说的时间悖论问题。我们报道了在北票龙化石中发现的一种新的原始羽毛类型,给出了发育学解释,推测羽毛起源的时间可能在三叠纪中期,对于羽毛起源和早期演化研究具有重要意义。