应用模糊集和神经网络的城市评价决策支持系统

本文以决策支持系统（ＤＳＳ）的理论方法为基础，综合运用模糊集（ＦＳ）和神经网络（ＮＮ）理论，提出了城市评价决策支持系统（ＣＥＤＳＳ）的基本结构模式，介绍了ＣＥＤＳＳ的基本功能，并对ＣＥＤＳＳ中评价指标的规范化方法、基于ＦＳ的多层次多目标综合评价模型、基于ＮＮ的系统自学习模型以及ＣＥＤＳＳ的工作原理作了描述。整个ＣＥＤＳＳ的原型系统已在微型机上实现，它可以较好地处理需要定性分析与定量分析相结合的决策问题，从而为城市管理决策者提供从信息、咨询到评价、决策、政策制定等一系列的智能支持     

从数据流图到模块结构图的自动转换系统

本文论述了从数据流图（ＤＦＤ）到模块结构图（ＭＳＣ）自动转换系统的设计与实现。提出了用于中间转换的有向控制图（ＤＣＤ）的概念，旨在实现从ＤＦＤ导出ＭＳＣ的自动化。     

工业计算机控制系统的应用现状和发展方向

依据目前国内外工业生产过程计算机控制系统的模型,通过对直接控制（ＤＤＣ）系统、监督控制（ＳＣＣ）系统、集散控制系统（ＤＣＳ）和现场总线控制系统（ＦＣＳ）的深入分析,研究了计算机系统的应用现状和发展方向。     

Windows95和NT下的网络游戏开发(下)

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数字倍频器用于周期信号频谱分析的补偿和误差分析

在周期信号数字频谱分析中，数字倍频器可被用作采样频率发生器（ＳＦＧ）为ＡＤＣ提供采样脉冲，但原有的数字倍频方法使得ＳＦＧ的输出脉冲存在较大的位置累积误差。本文针对原有数字倍频方法的缺点而提出了新的补偿方法，并用非均匀采样信号理论和数字频谱分析方法导出了用原有方法和新的方法实现的ＳＦＧ所对应的采样信号序列的信噪比表达式，证明了新方法优于原有方法，同时也得出了对ＳＦＧ的设计有指导意义的结论。最后，计算机仿真验证了本文结论。     

图形数据交换格式VDA－FS标准简介

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WINDOWS NT安装引发丢失磁空间的恢复

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分布计算环境的实现技术

本文论述了分布式计算环境以及远过程调用、线程、目录服务等支持机制的概念；并以ＯＳＦ（ＯｐｅｎＳｏｆｔｗａｒｅＦｏｕｎｄａｔｉｏｎ）ＤＣＥ（ＤｉｓｔｒｉｂｕｔｅｄＣｏｍｐｕｔｉｎｇＥｎｖｉｒｏｒｍｅｎｔ）１．０为实例介绍ＤＣＥ的实现技术。ＯＳＦＤＣＥ提供了建立一个分布式应用的基础结构，随着它的逐步完善，建立在其上的分布式应用的增多，它趋向于成为分布式应用的标准平台。     

先进的战斧潜艇武器控制系统

为支持现在和未来海军航向载技术巡航导弹，正在发展先进的战斧武器控制系统（ＡＴＷＣＳ）ＡＴＷＯＳ利用海军的标准战术高级计算机（ＴＡＣ）３的构件和商用标准局域网（ＬＡＮＳ）提供一个有着极好发展潜力的灵活强健的系统，系统工程原理的大胆运行精炼了系统设计，使它适应不同的海军平台，达到这个设计目标的一个成功范例就是潜艇ＡＴＷＣＳ系统，最初了ＡＴＷＣＳ数据通道是光纤分布式数据接口（ＦＤＤＩ）局域网，连接４台Ｔ     

FX2系列PLC故障诊断及显示的实现

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一类新的Takagi-Sugeno模糊时滞系统的稳定性准则

本文提出一种新的时滞划分方法—变时滞划分法,以解决连续延时Takagi-Sugeno模糊系统的稳定性和镇定性问题.不同于已有的文献,用可变参数将时变时滞区间[0,d(t)]划分为若干个可变子区间,并得出模糊时滞系统的新的时滞相关稳定性准则.本文提出的新方法能充分利用时滞子区间的内部信息,因此新的时滞相关稳定性准则比以往结果具有更小的保守性.基于Lyapunov稳定性理论,以线性矩阵不等式形式给出T--S模糊系统的新的时滞相关稳定性准则,并将稳定性和镇定性研究结果扩展到具有不确定参数的T--S模糊系统.仿真实例证明了本文方法降低保守性的有效性.     

Stability and stabilizability of fuzzy-neural-linear controlsystems

This paper discusses stability analysis of fuzzy-neural-linear (FNL) control systems which consist of combinations of fuzzy models, neural network (NN) models, and linear models. The authors consider a relation among the dynamics of NN models, those of fuzzy models and those of linear models. It is pointed out that the dynamics of linear models and NN models can be perfectly represented by Takagi-Sugeno (T-S) fuzzy models whose consequent parts are described by linear equations. In particular, the authors present a procedure for representing the dynamics of NN models via T-S fuzzy models. Next, the authors recall stability conditions for ensuring stability of fuzzy control systems in the sense of Lyapunov. The stability criteria is reduced to the problem of finding a common Lyapunov function for a set of Lyapunov inequalities. The stability conditions are employed to analyze stability of FNL control systems. Finally, stability analysis for four types of FNL control systems is demonstrated     

A delay partitioning approach to delay-range-dependent stability analysis of fuzzy systems

This paper is concerned with the stability analysis of Takagi-Sugeno (T-S) fuzzy systems with time varying delays in a given range. The delay partitioning approach is proposed to solving the problem of stability analysis for T-S fuzzy systems. By employing a new type of Lyapunov-Krasovskii functionals, delay-range-dependent stability criteria are derived for T-S fuzzy systems. The idea of the approach is that the delay interval is uniformly divided into N segments with N a positive integer, and a proper Lyapunov-Krasovskii functional is chosen with different weighted matrices corresponding to different segments in the Lyapunov-Krasovskii functional. All the sufficient criteria are established in terms of linear matrix inequalities (LMIs), which can be solved efficiently by using the LMI algorithm. Finally, numerical example is given to illustrate the less conservatism of the proposed method.     

Stability of Takagi–Sugeno Fuzzy Delay Systems With Impulse

The Takagi-Sugeno (T-S) model of fuzzy delay systems with impulse is first presented in this paper. By means of classical analysis methods and Razumikhin technique, the criteria of uniform stability and uniform asymptotic stability for T-S fuzzy delay systems with impulse are obtained, respectively. Three numerical examples are also discussed to illustrate the efficiency of the obtained results.     

模糊逻辑控制系统分析与设计

本文把模糊逻辑控制当作多维继器，用Ｌｐ稳定性和园周判据分析闭环模糊逻辑控制系统的稳定性，给出闭环非线性系统与模糊逻辑控制器结合系统的稳定判据和设计方法，并用计算机仿真试验，进一步将稳定判据应用到不同系统。     

A note on the robust stability of uncertain stochastic fuzzy systems with time-delays

Takagi-Sugeno (T-S) fuzzy models are now often used to describe complex nonlinear systems in terms of fuzzy sets and fuzzy reasoning applied to a set of linear submodels. In this note, the T-S fuzzy model approach is exploited to establish stability criteria for a class of nonlinear stochastic systems with time delay. Sufficient conditions are derived in the format of linear matrix inequalities (LMIs), such that for all admissible parameter uncertainties, the overall fuzzy system is stochastically exponentially stable in the mean square, independent of the time delay. Therefore, with the numerically attractive Matlab LMI toolbox, the robust stability of the uncertain stochastic fuzzy systems with time delays can be easily checked.     

T-S模糊时滞系统的时滞相关鲁棒稳定新判据

研究了基于Takagi-Sugeno（T-S）模糊模型描述的非线性时滞系统的稳定性和H∞扰动抑制问题,利用线性矩阵不等式（LMI）技术,导出了一种满足优化H∞性能的时滞相关稳定新判据,该判据不仅适用于系统时滞变化率大于1的情形,且与现有方法相比具有更小的保守性,数值仿真结果证明了所提方法的有效性。     

T-S模糊时滞系统的时滞相关镇定

基于T-S模糊模型方法,研究一类非线性区间时滞系统的稳定性分析与镇定问题,基于一组线性矩阵不等式的可解性,给出了非线性时滞系统时滞相关稳定和镇定的充分条件,并通过构造新的模糊权依赖型Lyapunov泛函,降低了稳定性准则的保守性,最后通过仿真例子表明了所提方法的有效性.     

Delay-Distribution-Dependent Stability and Stabilization of T–S Fuzzy Systems With Probabilistic Interval Delay

In this paper, we are concerned with the problem of stability analysis and stabilization control design for Takagi–Sugeno (T–S) fuzzy systems with probabilistic interval delay. By employing the information of probability distribution of the time delay, the original system is transformed into a T–S fuzzy model with stochastic parameter matrices. Based on the new type of T–S fuzzy model, the delay-distribution-dependent criteria for the mean-square exponential stability of the considered systems are derived by using the Lyapunov–Krasovskii functional method, parallel distributed compensation approach, and the convexity of some matrix equations. The solvability of the derived criteria depends not only on the size of the delay but also on the probability distribution of the delay taking values in some intervals. The revisions of the main criteria in this paper can also be used to deal with the case when only the information of variation range of the delay is considered. It is shown by practical examples that our method can lead to very less conservative results than those by other existing methods.      

Passive fuzzy controller design via observer feedback for stochastic Takagi-Sugeno fuzzy models with multiplicative noises

This paper investigates the fuzzy control problem of a class of nonlinear continuous-time stochastic systems with achieving the passivity performance. A model-based observer feedback fuzzy control utilizing the concept of so-called parallel distributed compensation (PDC) is employed to stabilize the class of nonlinear stochastic systems that are represented by the Takagi-Sugeno (T-S) fuzzy models. Based on the Lyapunov criteria, the Linear Matrix Inequality (LMI) technique is used to synthesize the observer feedback fuzzy controller design such that the closed-loop system satisfies stability and passivity constraints, simultaneously. Finally, a numerical example is given to demonstrate the applicability and effectiveness of the proposed design method.