建筑结构动力反应分析过程仿真表现方法

为了更好表现建筑结构动力仿真分析结果，研究利用多媒体表现技术与工程结构分析算法相结合的仿真表现新方法。论文阐述在复杂工程仿真中，运用体绘制算法，变形绘制算法，定性数据表达方法，快速绘制算法和连续仿真场景生成方法，特别是综合应用达到最优表现。具体说明了论文的方法在实现钢筋混凝土框架结构在地震作用下的结构动力反应的仿真表现中的实际效果，验证了这种仿真表现方法的有效性。在以Windows2000为操作系统，以OpenGL作为开发工具的微型机上实现这种复杂仿真表现，展现了多媒体仿真表现技术广阔的应用和发展前景。     

输入受限时滞系统的模型预测控制

对于输入受限的离散时滞系统，提出了一种模型预测控制方法。该方法采用双模控制结构，基于Lyapunov-Krasovskii函数构造了时滞系统的终端不变椭圆集，保证闭环系统稳定性。以LMIs(Linear Matrix Inequalities)形式给出了系统稳定的充分条件，使得该方法简单，易于实现。最后通过仿真验证了本方法的有效性。     

含时延的多智能体系统的多静态领导者包容控制

对基于有向固定拓扑的多静态领导者的多智能体系统的包容控制问题进行研究。在系统中智能体之间信息传递存在固定通信时延的情况下,应用拉普拉斯变换技术分别研究一阶和二阶连续时间多智能体系统,通过对系统传递函数的稳定性分析而求取系统状态稳定条件,并应用终值定理,最终得到了保证系统实现包容控制的时延限制条件,最后用仿真验证了该结论的有效性。     

多组多滞后区间系数非线性控制系统的鲁棒镇定

本文采用刘永清建立的控制系统与滞后控制系统等价性方法，给出了多组多滞后区间系数非线性定常控制系统的鲁棒镇定及估计公式。     

SELF-ORGANIZING MODELLING IN EXPERIMENTA SYSTEMS ANALYSIS

ＳＥＬＦ－ＯＲＧＡＮＩＺＩＮＧＭＯＤＥＬＬＩＮＧＩＮＥＸＰＥＲＩＭＥＮＴＡＳＹＳＴＥＭＳＡＮＡＬＹＳＩＳＪ．Ａ．Ｍｕｌｌｅｒ（ＩｎｓｔｉｔｕｔｅｆｏｒＴｅｃｈｎｏｌｏｇｙａｎｄＥｃｏｎｏｍｙＤｒｅｓｄｅｎ，Ｇｅｒｍａｎｙ）Ａｂｓｔｒａｃｔ：Ｓｅｖｅｒ...     

系统结构模型分部的底层要素法

本文从系统的底层要素出发，提出并证明了底层要素存在性、底层要素后果集并集的完全性以及它们在同一部分的充分必要条件，由此导出了系统结构模型分部的算法，实际应用进一步说明了这一方法的有效性。     

一类线性切换系统的能控性和能观测性的充要条件

循环不变子空间是常用于控制科学和信号处理理论的重要数学工具之一。用循环不变子空间的性质研究了切换系统的能控性和能观测性。先给出了切换系统能控性、能达性和能观测性的概念,并讨论了循环不变子空间的性质。然后用循环不变子空间的性质研究了周期线性切换系统的能控制性、能达性及能观测性,得到线性周期切换系统完全能控和完全能观测的充分必要条件。最后给出一般线性切换系统完全能控和完全能观测的充分条件和必要条件。     

Methodological foundations of systems methodologies

In social systems science generally, and in management science particularly, recent developments in the variety of types of specific problem-solving methodologies (under the rubric of hard and soft systems approaches) have given an impetus to a line of inquiry, as well as debate on the nature of those methodologies. On the one hand, there has been the view that what we are witnessing is a form of Kuhnian crisis. On the other hand, a complementarist view of developments has been argued and a contingency approach proposed. But one thing has been common among the competing views: a belief that the prospects for further advances in the design and application of those methodologies, and in resolving the current controversies, lie in serious attempts to reconsider and clarify the underlying metatheoretical assumptions and concerns. This paper is an attempt to contribute to such an endeavor. A brief exposition of three methodological foundations (namely, empiricism, hermeneutics, and critique) is made, not only with the purpose of highlighting the nature as well as the limits of their epistemological and ethical claims, but also as a basis for illuminating both the nature of contemporary work on systems inquiry, design, and problem solving and the ongoing debate on what constitutes appropriate criteria for choice of specific methodologies.     

Measuring and locating zones of chaos and irregularity

The new measures computed here are the spectral detrended fluctuation anatysls （sDFA） and spectral multi-taper method （sMTM）. sDFA applies the standard detrended fluctuation analysis （DFA） algorithm to power spectra, sMTM exploits the minute increases in the broadband response, typical of chaotic spectra approaching optimal values. The authors chose the Brusselator, Lorenz, and Duffing as the proposed models to measure and locate chaos and severe irregularity. Their series of chaotic parametric responses in short time-series is advantageous. Where cycles have only a limited number of slow oscillations such as for systems biology and medicine. It is difficult to create, locate, or monitor chaos. From 50 linearly increasing starting points applied to the chaos target function （CTF）; the mean percentage increases in Kolmogorov-Sinai entropy （KS-Entropy） for the proposed chosen models; and p-values when the models were compared statistically by Kruskal-Wallis and ANOVA1 test with distributions assumed normal are Duffing （CTF： 31%： p 〈0.03）; Lorenz （CTF： 2%： p 〈0.03）, and I3russelator （CTF： 8%： p 〈0.01）. Principal component analysis （PCA） is applied to assess the significance of the objective functions for tuning the chaotic response. From PCA the conclusion is that CTF is the most beneficial objective function overall delivering the highest increases in mean KS-Entropy.     

Further results on limitations of sampled-data feedback

To control continuous-time uncertain dynamical systems with sampled data-feedback is prevalent today,but the sampling rate is usually not allowed to be arbitrarily fast due to various physical and/or computational constrains.In this paper,the authors examine the limitations of sampled-data feedback control for a class of uncertain systems in continuous-time,with sampling rate not necessary fast enough and with the unknown system structure confined to a set of functions with both linear and nonlinear growth.The limitations of the sampled-data feedback control for the uncertain systems are established quantitatively,which extends the existing related results in the literature.