随机系统的加权一步超前模型参考自适应控制

本文讨论了随机系统在输入受限时的加权一步超前模型参考自适应控制,给出了自适应控制律及闭环系统的输入输出性质,证明了在一定条件下自适应控制的收敛性.     

Mixed monotone decomposition of dynamical systems with application

The notions of mixed monotone decomposition of dynamical systems are introduced. The fundamental idea is to make an elaborate use of the natural growth and decay mechanism inherent in the structure of a dynamical systems to decompose its dynamics into increase and decrease parts, and thereby to constitute an augmented dynamical system as the secalled “two-sided comparison system” of the original one. The corresponding two-sided comparison theorems show that the solution of the comparison system gives lower and upper bounds of that of the original system. Therefore, the properties of a dynamical system can be obtained through the study of its two-sided comparison system. Compared with the conventional comparison method in literature, the mixed monotone decomposition method developed herein takes in a natural way structural properties of dynamical systems into account instead of requiring strict conditions of (quasi-)monotonicity on them, and could yields refined, usually nonsymmetrical, state estimates, and thus is more suitable for systems with nonsymmetrical state constraints. As an application of the method, a sufficient condition is established for the global asymptotic stability of the trivial solution of a class of continuous-time systems with nonsymmetrical state saturation. The condition is given in terms of coefficients and state saturation levels of such systems, and contains as a special case a recent result on systems with symmetric state saturation in literature.     

中国持续发展与可实现的基本对策

从确立可持续发展观念入手，结合中国国情分析了可持续发展的基本内涵和方法论原则，确定了中国实现可持续发展的优先行动领域，并根据以上分析提出了我同可持续发展的基本对策。     

A DOMINANCE APPROACH FOR PLANE PARTITIONS

By developing the dominance technique of nondecreasing integer sequences into a multifoldform,we introduce a new approach for the enumeration of plane partitions,which can be used togenerate most of classical theorems in this field.The treatment presented here may be more accessibleto readers than the earlier methods of algebra,analysis and algorithm.     

一种基于 Pareto 云隶属度的 MOPSO 算法

为定量解决非支配解排序问题,并兼顾多目标粒子群优化算法（multi-objective particle swarm optimization,MOPSO）的收敛性和多样性,提出了一种基于 Pareto 云隶属度的 MOPSO 算法。利用 Logistic 混沌映射优化种群的初始空间分布并融合布谷鸟搜索（cuckoo search,CS）指导粒子跳出局部陷阱,以增强算法的全局寻优能力。首次提出云向量评价 Pareto 最优解集方法,采用云隶属度评价准则对粒子适应度值进行量化评价。依据云隶属度选取个体最优和群体最优,平衡全局开发与开采,进而实现外部档案维护。测试函数集 ZDT 的实验结果表明,改进算法在收敛性和多样性方面较 MOPSO 和 NSGA-Ⅱ有一定优势。     

组合惩罚似然估计下发散参数变量选择

在Wang等给出的组合惩罚函数的基础之上,将SCAD惩罚部分推广到一般的非凸惩罚的形式,利用岭回归在解释变量相关度较高情形下的良好表现,提出一种推广了的组合惩罚.在参数个数发散的情形之下,利用贝叶斯信息准则(BIC)来选择调整参数,能同时完成变量选择和参数估计.而且还可以证明在合适的条件之下,这种估计具有Oracle性质.模拟研究的结果证明了所提出的方法在预测变量具有强相关性之下的优势.     

丁醇汽油发动机低温冷启动的排放特性

在点进气道电控喷射汽油机台架上,分别使用汽油、B10和B30这3种燃料在-7℃环境温度下,对冷启动过程中催化剂后的常规排放和非常规排放特性进行了研究,利用化学动力学方法,分析了非常规排放物的主要形成途径.结果表明:在冷启动的最初120 s内,随着燃料中丁醇比例的增大,3种燃油的HC排放量和CO排放量逐步减少;每种燃料的HC和CO排放量均是先增加再减少;对于非常规污染物,随着燃油中丁醇体积分数从10%增加到30%,乙烯排放体积分数提高37.0%,甲醛排放量增加67.6%,乙醛排放量增加69.9%,苯排放量减少40.5%,甲烷排放体积分数减少16.0%,乙炔排放体积分数变化不明显.     

基于二元决策图的共因失效系统Birnbaum重要度计算

在传统Birnbaum重要度理论及其计算方法基础上,提出了针对系统受共因失效影响情况下的共因失效故障树扩展方法和共因失效决策建模方法.以提高共因失效系统Birnbaum重要度计算效率为目标,借助二元决策图,对二态共因失效系统重要度计算模型进行构建,给出了模型的相关算法,并以算法验证模型及算法的有效性.