自适应模糊逻辑系统的鲁棒学习算法

通过对常规最小方差型目标函数局限性的分析，根据鲁棒统计学理论和目标函数在参数学习中的导向作用，对目标函数进行修正，在此基地之上，提出一种模糊逻辑系统的鲁棒学习算法，在噪声环境中，通过对该算法的仿真验证以及与常规算法性能的比较，表明该鲁棒学习算法在逼近精度和鲁棒性等方面优于传统方法，在实际工程中具有较高的应用价值。     

逻辑型多变量鲁棒自校正解耦间接算法

本文提出了一种多变量鲁棒自校正解耦间接算法。它采用一种新的正则化和相对死区实现了鲁棒自校正解耦控制。这种方法可以使系统跟踪特性不受死区界和正则化因子的影响。本文还给出了算法的鲁棒性分析和仿真结果。     

基于鲁棒优化理论的电梯群控调度策略

论文针对不确定线性优化问题,研究其不确定集的选择,初始不确定鲁棒优化模型的建立,以及基于该模型的鲁棒对等式转化问题.然后将鲁棒优化建模方法应用于电梯群控调度问题,建立其鲁棒优化模型,解决了交通流不确定性的影响,从而使调度结果更为合理.结合电梯群控虚拟仿真环境,设计了电梯群控鲁棒优化调度算法,并进行仿真验证.通过与其他调度算法的比较,证明了鲁棒优化调度算法在不同交通流F均具有优良的性能和适应能力.实验表明,鲁棒优化调度方法可以解决交通流预测误差的影响,很好地改善电梯群控调度性能.     

一种鲁棒的总体最小二乘自适应辨识算法

针对输入输出观测数据均含有噪声的系统辨识问题，提出了一种鲁棒的总体最小二乘自适应辨识算法．该算法在对总体最小二乘问题与向量的瑞利商及其性质研究的基础上，以被辨识系统的增广权向量的瑞利商(RQ)作为损失函数，利用梯度最陡下降原理导出权向量的自适应迭代算法，并利用随机离散学习规律对权向量模的分析修正了算法梯度，提高了算法的噪声鲁棒性，构成了一种噪声鲁棒的总体最小二乘自适应辨识算法．文中研究了该算法的收敛性能．仿真实验结果表明该算法的鲁棒抗噪性能和稳态收敛精度明显高于其它同类方法，而且可使用较大的学习因子，在较高的噪声环境下仍然保持良好的收敛性．     

基于单网络评判学习的非线性系统鲁棒跟踪控制

针对一类具有不确定性的连续时间非线性系统,提出一种基于单网络评判学习的鲁棒跟踪控制方法.首先建立由跟踪误差与参考轨迹构成的增广系统,将鲁棒跟踪控制问题转换为镇定设计问题.通过采用带有折扣因子和特殊效用项的代价函数,将鲁棒镇定问题转换为最优控制问题.然后,通过构建评判神经网络对最优代价函数进行估计,进而得到最优跟踪控制算法.为了放松该算法的初始容许控制条件,在评判神经网络权值更新律中增加一个额外项.利用Lyapunov方法证明闭环系统的稳定性及鲁棒跟踪性能.最后,通过仿真结果验证该方法的有效性和适用性.     

一类非线性系统迭代学习控制的初始态鲁棒性

本文对迭代学习控制中的初始态变化的鲁棒特性进行了探讨,针对非线性系统提出了一种基于开环D型的初始态修正的迭代算法,并给出了收敛性证明,最后通过仿真对算法的有效性进行了验证。     

鲁棒自适应控制器的一种设计方法

针对鲁棒自适应控制器的鲁棒性和适应性,提出建立一个完整的鲁棒自适应控制器 应克服的4个方面问题,论文就这4个问题进行讨论,建立了一种鲁棒自适应算法.该算法在保证 控制系统鲁棒稳定的前提下,使模型逐步精确,同时逐步提高控制器的性能.仿真结果证明了控 制器的性能.另外,算法较为简单,易于在线实现.     

基于改进SOS算法的UCAV鲁棒机动决策研究

针对无人作战飞机自主空战机动决策问题,提出了一种鲁棒机动决策方法。设计了反映空战态势的鲁棒隶属函数,并基于此设计鲁棒多目标决策函数;针对动作库在机动决策中的不完备性与传统优化方法求解时效性缺陷,运用基于自适应和精英反向学习策略改进的共生生物算法,对控制量进行优化进而完成机动决策;仿真结果表明,鲁棒机动决策结果更具优势且改进算法求解具有实时性,满足机动决策需求。     

不确定时变系统的鲁棒学习控制算法

研究不确定性时变系统在有限时间区间上重复作业和在无限时间区间上周期作业的跟踪控制问题. 基于Lyapunov-like方法, 给出了形式简单的鲁棒迭代学习控制和鲁棒重复控制两种算法. 两种学习算法均可弥补单一控制算法的缺陷, 鲁棒控制部分被用来保证闭环系统中所有变量的有界性, 学习控制部分可有效消除系统跟踪误差, 改善系统的跟踪性能. 仿真结果验证了两种学习算法的有效性.     

基于动态神经网的鲁棒直接自适应控制

基于动态神经网络，研究了一类具有未建模动态的未知多变量非线性系统的鲁棒直接自适应控制．基于Ｌｙａｐｕｎｏｖ理论得出一种鲁棒稳定的权学习算法，该算法不需要知道理想权矩阵的先验知识，并保证设计的控制器的稳定性．仿真结果表明提出的鲁棒控制算法的有效性     

Only connect: teaching, technology and telesis

Abstract This paper describes an approach to the design of interactive multimedia materials being developed in a European Community project. The developmental process is seen as a dialogue between technologists and teachers. This dialogue is often problematic because of the differences in training, experience and culture between them. Conditions needed for fruitful dialogue are described and the generic model for learning design used in the project is explained.     

European Community policy and the market

Abstract This paper starts with some reflections on the policy considerations and priorities which are shaping European Commission (EC) research programmes. Then it attempts to position the current projects which seek to capitalise on information and communications technologies for learning in relation to these priorities and the apparent realities of the marketplace. It concludes that while there are grounds to be optimistic about the contribution EC programmes can make to the efficiency and standard of education and training, they are still too technology driven.     

一种自适应子融合集成多分类器方法

融合集成方法已经广泛应用在模式识别领域,然而一些基分类器实时性能稳定性较差,导致多分类器融合性能差,针对上述问题本文提出了一种新的基于多分类器的子融合集成分类器系统。该方法考虑在度量层融合层次之上通过对各类基多分类器进行动态选择,票数最多的类别作为融合系统中对特征向量识别的类别,构成一种新的自适应子融合集成分类器方法。实验表明,该方法比传统的分类器以及分类融合方法识别准确率明显更高,具有更好的鲁棒性。     

Avoiding semantic and temporal gaps in developing software intensive systems

Development of software intensive systems (systems) in practice involves a series of self-contained phases for the lifecycle of a system. Semantic and temporal gaps, which occur among phases and among developer disciplines within and across phases, hinder the ongoing development of a system because of the interdependencies among phases and among disciplines. Such gaps are magnified among systems that are developed at different times by different development teams, which may limit reuse of artifacts of systems development and interoperability among the systems. This article discusses such gaps and a systems development process for avoiding them.     

Designing economic np control charts: A programmed simulation approach

This paper presents control charts models and the necessary simulation software for the location of economic values of the control parameters. The simulation program is written in FORTRAN, requires only 10K of main storage, and can run on most mini and micro computers. Two models are presented - one describes the process when it is operating at full capacity and the other when the process is operating under capacity. The models allow the product quality to deteriorate to a further level before an existing out-of-control state is detected, and they can also be used in situations where no prior knowledge exists of the out-of-control causes and the resulting proportion defectives.     

The development of robot art

Going through a few examples of robot artists who are recognized worldwide, we try to analyze the deepest meaning of what is called “robot art” and the related art field definition. We also try to highlight its well-marked borders, such as kinetic sculptures, kinetic art, cyber art, and cyberpunk. A brief excursion into the importance of the context, the message, and its semiotics is also provided, case by case, together with a few hints on the history of this discipline in the light of an artistic perspective. Therefore, the aim of this article is to try to summarize the main characteristics that might classify robot art as a unique and innovative discipline, and to track down some of the principles by which a robotic artifact can or cannot be considered an art piece in terms of social, cultural, and strictly artistic interest. This work was presented in part at the 13th International Symposium on Artificial Life and Robotics, Oita, Japan, January 31–February 2, 2008     

Explanation and prediction: an architecture for default and abductive reasoning

Although there are many arguments that logic is an appropriate tool for artificial intelligence, there has been a perceived problem with the monotonicity of classical logic. This paper elaborates on the idea that reasoning should be viewed as theory formation where logic tells us the consequences of our assumptions. The two activities of predicting what is expected to be true and explaining observations are considered in a simple theory formation framework. Properties of each activity are discussed, along with a number of proposals as to what should be predicted or accepted as reasonable explanations. An architecture is proposed to combine explanation and prediction into one coherent framework. Algorithms used to implement the system as well as examples from a running implementation are given.     

Three Process Perspectives: Organizations, Teams, and People

This paper provides the author's personal views and perspectives on software process improvement. Starting with his first work on technology assessment in IBM over 20 years ago, Watts Humphrey describes the process improvement work he has been directly involved in. This includes the development of the early process assessment methods, the original design of the CMM, and the introduction of the Personal Software Process (PSP)^SM and Team Software Process (TSP){^SM}. In addition to describing the original motivation for this work, the author also reviews many of the problems he and his associates encountered and why they solved them the way they did. He also comments on the outstanding issues and likely directions for future work. Finally, this work has built on the experiences and contributions of many people. Mr. Humphrey only describes work that he was personally involved in and he names many of the key contributors. However, so many people have been involved in this work that a full list of the important participants would be impractical.     

基于复小波噪声方差显著修正的SAR图像去噪

提出了一种基于复小波域统计建模与噪声方差估计显著性修正相结合的合成孔径雷达(Synthetic Aperture Radar,SAR)图像斑点噪声滤波方法。该方法首先通过对数变换将乘性噪声模型转化为加性噪声模型,然后对变换后的图像进行双树复小波变换(Dualtree Complex Wavelet Transform,DCWT),并对复数小波系数的统计分布进行建模。在此先验分布的基础上,通过运用贝叶斯估计方法从含噪系数中恢复原始系数,达到滤除噪声的目的。实验结果表明该方法在去除噪声的同时保留了图像的细节信息,取得了很好的降噪效果。     

基于QTE的蒙古文显示机制研究与实现

蒙古语言是中国蒙古族使用的通用语言,由于蒙古文区别于其他文字的书写方式和其自身变形机制等特点,在很多通用的文字处理引擎中都不被支持。在嵌入式产品开发与应用领域中Linux加QTE已经成为流行方式。该文给出了一种在QTE环境上实现基于标准Unicode的蒙古文点阵显示和变形算法, 并自定义了支持蒙古文的QTE组件,扩展了QTE功能,为在Linux加QTE方式的嵌入式体系结构中处理蒙古文提供了一种解决方法。