Asymptotic behavior of morphological filters

The connection between morphological and stack filters is used in the analysis of the statistical properties of morphological filters. Closed-form expressions for the output distributions of morphological filters are given, and their statistical symmetry properties are analyzed. Asytotically tight bounds on the expectations of two-dimensional morphological filters, and asymptotic formulas for the variances of one-dimensional morphological filters are derived. These results form the basis for analyzing general asymptotic properties of morphological filters.     

Asymptotic properties of stochastic timed event graphs

This paper addresses the asymptotic properties of stochastic timed event graphs. The transition firing times are random variables with general distribution. Asymptotic properties with respect to the net structure, the transition firing times and the initial marking are established on the basis of some new performance bounds. Applications to manufacturing systems are presented. We prove in particular a conjecture which claims that the throughput rate of a transfer line decreases to a positive value when the number of machines increases.     

Asymptotic stability analysis of nonlinear real-time networked control systems

The paper deals with the problem of the asymptotic stability for general continuous nonlinear networked control systems （NCSs）. Based on Lyapunov stability theorem combined with improved Razumikhin technique, the sufficient conditions of asymptotic stability for the system are derived. With the proposed method, the estimate of maximum allowable delay bound （MADB） for linear networked control system is also given. Compared to the other methods, the proposed method gives a much less conservative MADB and more general results. Numerical examples and some simulations are worked out to demonstrate the effectiveness and performance of the proposed method.     

Asymptotic properties of subspace estimators

Since the proposal of subspace methods in the 1980s and early 1990s substantial efforts have been made in the analysis of the statistical properties of the algorithms. This paper surveys the literature on the asymptotic properties of particular subspace methods used for linear, dynamic, time invariant, discrete time systems. The goals of this paper are threefold: First this survey tries to present the most relevant results on the asymptotic properties of estimators obtained using subspace methods. Secondly the main methods and tools that have been used in the derivation of these results are presented to make the literature more accessible. Thirdly main unsolved questions and rewarding research topics are identified some of which can be attacked using the toolbox discussed in the paper.     

The asymptotic properties of estimates of the parameters of nonlinear time series

Asymptotic properties of nonlinear time series parameter estimators constructed on trajectories of stochastic systems under stationary and transient conditions are studied with the use of the least-squares method. The investigation method is based on the study of asymptotic properties of extremal sets of random functions. Translated from Kibernetika i Sistemnyi Analiz, No. 2, pp. 62–72, March–April, 2000     

Asymptotic perturbed feedback linearisation of underactuated Euler's dynamics

A unifying methodology is introduced for smooth asymptotic stabilisation of underactuated rigid body dynamics under one and two degrees of actuation. The methodology is based on the concept of generalised inversion, and it aims to realise a perturbation from the unrealisable feedback linearising transformation. A desired linear dynamics in a norm measure of the angular velocity components about the unactuated axes is evaluated along solution trajectories of Euler's underactuated dynamical equations resulting in a linear relation in the control variables. This relation is used to assess asymptotic stabilisability of underactuated rigid bodies with arbitrary values of inertia parameters, and generalised inversion of the relation produces a control law that consists of particular and auxiliary parts. The generalised inverse in the particular part is scaled by a dynamic factor such that it uniformly converges to the Moore–Penrose inverse, and the null-control vector in the auxiliary part is chosen for asymptotically stable perturbed feedback linearisation of the underactuated system.     

Classification of Spatial Properties for Spatial Allocation Modeling

Given a set of spatial units, such as land parcels and grid cells, how to allocate subsets of it to activities of interest while satisfying certain criteria? Such a decision process is here called spatial allocation. Though many problems of spatial allocation share this generic construct, each may have a quite unique set of criteria and interpret even the same criteria in its own way. Such diversity makes it difficult to model spatial allocation problems in unambiguous terms that are amenable to algorithmic solution. This paper proposes a classification scheme for spatial properties that helps to address a variety of spatial properties in establishing spatial allocation criteria. The implication of the paper is that a number of spatial properties and spatial allocation criteria can be decomposed into a few kinds of primitive spatial properties and their relations.     

Asymptotic Stabilisation of Multiple Input Nonlinear Systems via Sliding Modes

A dynamic feedback controller design method is proposed for multiple input systems. The method uses a novel choice of sliding surface to effect asymptotic linearisation of nonlinear differential input output systems and a class of state space systems. The stability of the overall system, that is a canonical state space form with a dynamic feedback, is analysed with a generalised Lyapunov approach plus an asymptotic analysis in a neighbourhood of the origin. The nonlinear system does not have to be expressed in regular form as is the case in many other sliding mode control approaches. A type of zero dynamics, which are the dynamics of the control, are involved. The resulting dynamic feedback is shown to provide chatter free control if the system is minimum phase with respect to the zero dynamics. The theoretical results are applied to Gas Jet systems with two controls.     

用.NET PropertyGrid控件实现对象动态属性的配置

本文介绍一种利用.NET框架技术及其PropertyGrid控件,实现对象动态属性配置的软件方法。该方法的优点在于能够直观的显示对象属性的动态增加、删除和改变,而不仅仅局限在其属性值的修改上。     

数据挖掘算法及其在股市技术分析中的应用

提出了一种基于动态规划和动态时间弯折函数的数据挖掘算法,并应用该算法对股市进行技术分析。基于某股市实际数据的实验结果表明该算法是有效的。     

最小化误工工件个数的两代理单机排序问题

针对研究了两代理情形下的单机排序问题,考虑两类问题：一是在误工工件个数不超过一个给定值的情况下使得总误工最小,另一个是代理[A]的工件加工时间和权重满足反一致关系时,在误工工件个数不超过一个给定值的情况下使得总加权完工时间之和最小。对于这两类问题采用动态规划方法分别给出最优性质和相应的拟多项式时间算法。     

Asymptotic stability in probability and stabilization for a class of discrete‐time stochastic systems

This paper investigates asymptotic stability in probability and stabilization designs of discrete‐time stochastic systems with state‐dependent noise perturbations. Our work begins with a lemma on a special discrete‐time stochastic system for which almost all of its sample paths starting from a nonzero initial value will never reach the origin subsequently. This motivates us to deal with the asymptotic stability in probability of discrete‐time stochastic systems. A stochastic Lyapunov theorem on asymptotic stability in probability is proved by means of the convergence theorem of supermartingale. An example is given to show the difference between asymptotic stability in probability and almost surely asymptotic stability. Based on the stochastic Lyapunov theorem, the problem of asymptotic stabilization for discrete‐time stochastic control systems is considered. Some sufficient conditions are proposed and applied for constructing asymptotically stable feedback controllers. Copyright © 2014 John Wiley & Sons, Ltd.     

基于自适应动态规划的一类带有时滞的离散时间非线性系统的最优控制策略

针对一类状态和控制变量均带有时滞的非线性系统的带有二次性能指标函数最优控制问题, 本文提出了一种基于新的迭代自适应动态规划算法的最优控制方案. 通过引进时滞矩阵函数, 应用动态规划理论, 本文获得了最优控制的显式表达式, 然后通过自适应评判技术获得最优控制量. 本文给出了收敛性证明以保证性能指标函数收敛到最优. 为了实现所提出的算法, 本文采用神经网络近似性能指标函数、计算最优控制策略、求解时滞矩阵函数、以及给非线性系统建模. 最后本文给出了两个仿真例子说明所提出的最优策略的有效性.     

Reduced-order observer-based decentralised control of non-linear interconnected systems

The output feedback-based asymptotic stabilisation problem for a class of non-linear interconnected systems is considered, where the non-linear interconnections between subsystems satisfy quadratic constraints. A novel decentralised dynamic output feedback control strategy involving local projection operator-based reduced-order observers is proposed. This decentralised controller is characterised by the separation property. Two easily verifiable conditions that guarantee the asymptotic stability of the closed-loop system driven by the proposed decentralised controller are given. The effectiveness of the developed decentralised control strategy is illustrated with a numerical example and simulations.     

基于ADO动态属性的多表联结的数据更新

在满足范式设计要求的数据库表格中,多表联结查询是一个较常见的问题。本文讨论了ADO动态属性的含义、功能及其在Delphi编程环境中的调用方法,并结合相关的ADO动态属性深入剖析了多表联结查询的数据更新机制。     

高速铁路列车追踪间隔时间优化研究

目前我国高速铁路在CTCS2/3级运行条件下,基本达到3min追踪间隔时间,为进一步缩短列车追踪间隔时间,基于线路坡度参数,对列车制动距离进行多阶段划分,通过建立列车混合优化模型和基于动态规划的多阶段决策模型,采用COADP算法(自适应动态规划协同优化算法)优化列车制动距离,得到各阶段的最优决策序列,以及列车制动距离的最优目标函数,对高速铁路列车追踪间隔时间进行优化,并对ADP算法(自适应动态规划算法)和COPADP算法的优化结果进行了仿真对比,结果表明COADP算法不仅有效避免了ADP算法的"维数灾"问题,而且对追踪间隔时间的优化作用更为明显,提升了高速铁路的通过能力。     

背包问题的算法设计与分析研究

背包问题是算法设计分析中的经典问题,本文采用贪婪法、动态规划法及递归法三种方法分别对背包问题、0-1背包问题及简单0-1背包问题进行算法设计和时间复杂度分析,给出具体算法设计和实现过程,并以具体实例详细描述不同方法求解问题解时算法基本思想,总结三种方法实现的优缺点并得出结论。     

背包问题的算法设计与分析研究

背包问题是算法设计分析中的经典问题,本文采用贪婪法、动态规划法及递归法三种方法分别对背包问题、0-1背包问题及简单0-1背包问题进行算法设计和时间复杂度分析,给出具体算法设计和实现过程,并以具体实例详细描述不同方法求解问题解时算法基本思想,总结三种方法实现的优缺点并得出结论。     

基于逻辑框架LF的语义性质之验证

本文对基于类型理论逻辑框架（LF）的语义性质验证加以研究，针对函数式语言LAZY-PCF＋SHAR，利用计算机辅助推理方法和技术给出相应的形式化描述及相关性质证明，从而提倡严格的和计算机辅助的证明在语义性质验证方面的应用。同时，考察了LF以及其实现系统Plastic的能力。     

最小化完成时间和加惩罚值和的批调度问题

考虑如下单机并行批调度问题:给定一些工件,每个工件有给定的处理时间以及惩罚值(可以拒绝处理某些工件,惩罚值为拒绝处理工件所付出的代价).给定一个可同时处理多个工件的批处理器.同时处理的工件形成一个批.同一批处理的工件具有相同的开始时间和结束时间,即开始时间加上这一批中所有工件的最大给定处理时间.判断如何选择要处理的工件,给这些工件分批以及给批排序使得目标函数值最小.对目标函数是被处理工件的完成时间之和加上被拒绝工件的惩罚值之和的情况,通过给出一个动态规划算法,证明当批容量为常量时问题是多项式时间可解的.