LIMIT THEOREMS FOR SUMS AND MAXIMA OF MIRWISE NEGATIVE QUADRANT DEPENDENT RANDOM VARIABLES

ＬＩＭＩＴＴＨＥＯＲＥＭＳＦＯＲＳＵＭＳＡＮＤＭＡＸＩＭＡＯＦＭＩＲＷＩＳＥＮＥＧＡＴＩＶＥＱＵＡＤＲＡＮＴＤＥＰＥＮＤＥＮＴＲＡＮＤＯＭＶＡＲＩＡＢＬＥＳ￥ＱＩＹｏｎｇｃｈｅｎｇ（ＩｎｓｔｉｔｕｔｅｏｆＳｙｓｔｅｍｓＳｃｉｅｎｃｅ，Ａｃａｄｅｍｉａ...     

EFFICIENCY OF ESTIMATION OF FIXED POLYNOMIAL EFFECTS IN MIXED MODELS BASED ON PBIB DESIGN

ＥＦＦＩＣＩＥＮＣＹＯＦＥＳＴＩＭＡＴＩＯＮＯＦＦＩＸＥＤＰＯＬＹＮＯＭＩＡＬＥＦＦＥＣＴＳＩＮＭＩＸＥＤＭＯＤＥＬＳＢＡＳＥＤＯＮＰＢＩＢＤＥＳＩＧＮ￥ＴＡＯＪｉｎｇｘｕａｎ（ＤｅｐａｒｔｍｅｎｔｏｆＭａｔｈｅｍａｔｉｃｓ，ＸｉｎｙａｎｇＮｏｒｍａ...     

UNIFORM PERSISTENCE IN DISCRETE SEMIDYNAMICAL SYSTEM AND ITS APPLICATION

ＵＮＩＦＯＲＭＰＥＲＳＩＳＴＥＮＣＥＩＮＤＩＳＣＲＥＴＥＳＥＭＩＤＹＮＡＭＩＣＡＬＳＹＳＴＥＭＡＮＤＩＴＳＡＰＰＬＩＣＡＴＩＯＮ￥ＷＡＮＧＷｅｎｄｉ（ＤｅｐａｒｔｍｅｎｔｏｆＭａｔｈｅｍａｔｉｃｓ，ＳｏｕｔｈｗｅｓｔＮｏｒｍａｌＵｎｉｖｅｒｓｉｔｙ，...     

THE WEAK LAW OF LARGE NUMBERS WHEN EXTREME TERMS ARE EXCLUDED FROM SUMS

ＴＨＥＷＥＡＫＬＡＷＯＦＬＡＲＧＥＮＵＭＢＥＲＳＷＨＥＮＥＸＴＲＥＭＥＴＥＲＭＳＡＲＥＥＸＣＬＵＤＥＤＦＲＯＭＳＵＭＳ￥ＱＩＹｏｎｇｃｈｅｎｇ（ＤｅｐａｒｔｍｅｎｔｏｆＰｒｏｂａｂｉｌｉｔｙａｎｄＳｔａｔｉｓｔｉｃｓ，ＰｅｋｉｎｇＵｎｉｖｅｒｓｉｔｙ...     

ON B-SPLINE M-ESTIMATORS IN A SEMIPARAMETRIC REGRESSION MODEL

ＯＮＢ－ＳＰＬＩＮＥＭ－ＥＳＴＩＭＡＴＯＲＳＩＮＡＳＥＭＩＰＡＲＡＭＥＴＲＩＣＲＥＧＲＥＳＳＩＯＮＭＯＤＥＬ￥ＳＨＩＰｅｉｄｅ（ＤｅｐａｒｔｍｅｎｔｏｆＰｒｏｂａｂｉｌｉｔｙａｎｄＳｔａｔｉｓｔｉｃｓ，ＰｅｋｉｎｇＵｎｉｖｅｒｓｉｔｙ，Ｂｅｉｊｎｇ１...     

STABLE POSITIVE PERIODIC SOLUTIONS OF THE PERIODIC COMPETITIVE SYSTEMS

ＳＴＡＢＬＥＰＯＳＩＴＩＶＥＰＥＲＩＯＤＩＣＳＯＬＵＴＩＯＮＳＯＦＴＨＥＰＥＲＩＯＤＩＣＣＯＭＰＥＴＩＴＩＶＥＳＹＳＴＥＭＳＬＩＨｕａ（ＤｅｐａｒｔｍｅｎｔｏｆＡｐｐｌｉｅｄＭａｔｈｅｍａｔｉｃｓ，ＸｉｄｉａｎＵｎｉｖｅｒｓｉｔｙ，Ｃｈｉｎａ）ＣＨＥ...     

NORMAL EULER NUMBERS OF EMBEDDING NONORIENTABLE SURFACES IN 4-MANIFOLDS

ＮＯＲＭＡＬＥＵＬＥＲＮＵＭＢＥＲＳＯＦＥＭＢＥＤＤＩＮＧＮＯＮＯＲＩＥＮＴＡＢＬＥＳＵＲＦＡＣＥＳＩＮ４－ＭＡＮＩＦＯＬＤＳＧＡＯＨｏｎｇｚｈｕ（ＤｅｐａｒｔｍｅｎｔｏｆＭａｔｈｅｍａｔｉｃｓ，ＢｅｉｊｉｎｇＮｏｒｍａｌＵｎｉｖｅｒｓｉｔｙ，Ｂｅｉ...     

ASYMPTOTICALLY EFFICIENT ESTIMATES IN A SYSTEM TREE

ＡＳＹＭＰＴＯＴＩＣＡＬＬＹＥＦＦＩＣＩＥＮＴＥＳＴＩＭＡＴＥＳＩＮＡＳＹＳＴＥＭＴＲＥＥＤＡＩＭｉｎｇ（ＤｅｐａｒｔｍｅｎｔｏｆＡｐｐｌｉｅｄＭａｔｈｅｍａｔｉｃｓＢｅｉｊｉｎｇｉｎｓｔｉｔｕｔｅｏｆＴｅｃｈｎｏｌｏｇｙ，Ｂｅｉｊｉｎｇ，１０００８...     

A MODIFIED HOMOGENEOUS AND SELF-DUAL LINEAR PROGRAMMING ALGORITHM

ＡＭＯＤＩＦＩＥＤＨＯＭＯＧＥＮＥＯＵＳＡＮＤＳＥＬＦ－ＤＵＡＬＬＩＮＥＡＲＰＲＯＧＲＡＭＭＩＮＧＡＬＧＯＲＩＴＨＭ￥ＧＵＯＴｉａｎｄｅ（ＭａｔｈｅｍａｔｉｃｓＤｅｐａｒｔｍｅｎｔ，ＱｕｆｕＮｏｒｍａｌＵｎｉｖｅｒｓｉｔｙ，Ｑｕｆｕ２７３１６５，Ｃｈ...     

A ROBUSTNESS ANALYSIS OF THE MUSIC AND THE MINIMUM－NORM ALGORITHMS WITH RESPECT TO CORRELMED NOISE

ＡＲＯＢＵＳＴＮＥＳＳＡＮＡＬＹＳＩＳＯＦＴＨＥＭＵＳＩＣＡＮＤＴＨＥＭＩＮＩＭＵＭ－ＮＯＲＭＡＬＧＯＲＩＴＨＭＳＷＩＴＨＲＥＳＰＥＣＴＴＯＣＯＲＲＥＬＭＥＤＮＯＩＳＥ￥ＪＩＡＰｅｉｚｈａｎｇ（ＩｎｓｔｉｔｕｔｅｏｆＳｙｓｔｅｍｓＳｃｔｅｎｃｅ，Ａｃ...     

Reliability index algorithm of a sub-domain interconnection large communication network

The normalized weighted capacity reliability index of a sub-domain interconnection large scale communication network is defined and a new algorithm to calculate the reliability index is proposed.The proposed algorithm can be performed using logical or algebraic operation by means of computer-aided programming and the correctness of each key step is validated in detail.This paper takes the sub-domain interconnection symmetrical topological network for a typical example to calculate the network reliability index and verifies the correctness of the proposed algorithm using the real measured statistical data,The real measured results are well in accordance with the results obtained by the proposed algorithm.The result shows that the proposed algorithm is a valid means to estimate the reliability index of a sub-domain interconnection large-scale communication network.     

Soft-output stack algorithm with lattice-reduction for MIMO detection

A computationally efficient soft-output detector with lattice-reduction (LR) for the multiple-input multiple-output (MIMO) systems is proposed.In the proposed scheme,the sorted QR decomposition is applied on the lattice-reduced equivalent channel to obtain the tree structure.With the aid of the boundary control,the stack algorithm searches a small part of the whole search tree to generate a handful of candidate lists in the reduced lattice.The proposed soft-output algorithm achieves near-optimal performanca in a coded MIMO system and the associated computational complexity is substantially lower than that of previously proposed methods.     

Adjustable entropy function method for support vector machine

Based on KKT complementary condition in optimization theory, an unconstrained non-differential optimization model for support vector machine is proposed. An adjustable entropy function method is given to deal with the proposed optimization problem and the Newton algorithm is used to figure out the optimal solution. The proposed method can find an optimal solution with a relatively small parameter p, which avoids the numerical overflow in the traditional entropy function methods. It is a new approach to solve support vector machine. The theoretical analysis and experimental results illustrate the feasibility and efficiency of the proposed algorithm.     

Distributed Clustering Algorithm for Energy Efficiency and Load-Balance in Large-Scale Multi-Agent Systems

To improve the energy efficiency and load-balance in large-scale multi-agent systems, a large-scale distributed cluster algorithm is proposed. At first, a parameter describing the spatial distribution of agents is designed to assess the information spreading capability of an agent. Besides, a competition resolution mechanism is proposed to tackle the competition problem in large-scale multiagent systems. Thus, the proposed algorithm can balance the load, adjust the system network locally and dynamically, reduce system energy consumption. Finally, simulations are presented to demonstrate the superiority of the proposed algorithm.     

Design of unknown input observer with H∞ performance for linear time-delay systems

A unknown input observer (UIO) design for a class of linear time-delay systems when the observer error can't completely decouple from unknown input is dealt with. A sufficient condition to its existence is presented based on Lyapunov stability method. Design problem of the proposed observer is formulated in term of linear matrix inequalities. Two design problems of the observer with internal delay and without internal delay are formulated. Based on H∞ control theory in time-delay systems, the proposed observer is designed in term of linear matrix inequalities (LMI). A design algorithm is proposed. The effective of the proposed approach is illustrated by a numerical example.     

FOWHA算子及其在决策中的应用

针对决策信息以三角模糊数互补判断矩阵形式给出的多属性决策问题,提出了一种新的决策方法。该方法依据一般的决策分析方法的基本思路,给出了解该问题的计算步骤,其核心是提出了一种模糊有序加权调和平均(FOWHA)算子,利用该算子对以三角模糊数互补判断矩阵形式给出的决策信息进行集结,并给出了一种基于可能度的决策方案排序方法。最后,给出了一个实例分析。结果表明该方法简单、有效,易于计算。     

A one-parameter filled function for nonsmooth global optimization and its application

This paper presents a modified definition of the filled function for finding a global minimizer of a nonsmooth function on a closed bounded set, and then give a one-parameter filled function. Theoretical and numerical properties of the proposed filled function are investigated and a corresponding solution algorithm is proposed. The proposed filled function’s parameter is easier to be appropriately chosen than previous functions in literatures. Numerical results obtained indicate the efficiency of the proposed filled function method. An improved fingerprint recognition method using global filled function is also reported.     

自适应杂交退火粒子群优化算法

为解决粒子群优化(particle swarm optimization, PSO)算法易早熟、后期收敛慢、收敛精度低等问题, 提出一种自适应杂交退火PSO算法。采用Sigmoid函数控制惯性权重, 平衡粒子的全局搜索和局部搜索能力; 采用双曲正切函数控制加速系数, 平衡粒子的自我认知和社会认知能力, 提高算法精度; 引入模拟退火算子, 使粒子在搜索过程中以一定概率接受差解, 增加粒子跳出局部最优的能力; 在算法后期引入杂交变异算子, 增加种群多样性, 进一步提高算法精度。基于3种标准测试函数对所提算法的性能进行了验证, 并与现有典型PSO算法进行了对比。结果表明, 所提算法在收敛精度及收敛速度上均具有一定提升。最后, 将所提算法应用于阵列天线方向图综合设计, 取得了较现有算法更优的结果。     

基于优化序列提取的相控阵雷达识别方法

针对相控阵雷达工作模式识别的问题,提出一种基于优化序列提取的雷达识别方法.首先,对相控阵雷达搜索和跟踪的工作模式进行分析,建立工作模式序列模型.其次,通过剔除Needleman-Wunsch方法中的多余数据简化运算流程,提出一种优化的雷达信号公共序列提取算法.然后,通过理论证明了所提算法的高效性,并给出算法识别效果的评...     

基于新型学习观测器的卫星执行机构故障重构

针对在轨微小卫星出现执行机构故障的情况,提出了一种基于非线性学习观测器(nonlinear learning observer, NLO)的卫星姿控执行机构故障重构方法。文中结合迭代学习算法和递推学习算法,设计了一种新型自适应学习算法,该算法应用前一时刻和当前时刻的姿态敏感器测量输出误差在线更新故障重构信号,使得所提NLO在估计卫星姿态角速度和姿态角的同时,能够快速精确在线重构卫星姿控执行机构故障。进一步给出了所提NLO的稳定性条件,并结合线性矩阵不等式技术给出了NLO增益矩阵的详细设计方法。最后,将所提方法应用于微小卫星姿控推力器故障重构,仿真结果验证了所提方法的有效性。