基于遗传算法的模糊关系方程求解

针对模糊关系方程的求解问题,即模糊综合评判逆问题,提出了一种基于遗传算法的求解方法.算法能有效地找出模糊关系方程的全局近似最优解,并且与模糊关系合成算子的具体形式无关,有良好的鲁棒性和自适应能力.仿真结果表明,此方法是一种有效、实用的模糊关系方程求解方法.     

感应电机压频比调节的模糊节能控制

根据三相感应电机的等效电路，推导出电机的损耗和输出功率与压频比之间的关系，提出了压频比调节的节能控制方法。考虑电机不同负载时损耗曲线的变化持点，引入基于电机转速和输入功率的比例算子，对电机输入功率的变化进行量化；电机稳态运行时进行模糊自寻优控制，动态调速时进行较高的恒压频比控制，提高了电机的效率并保持了一定的动态响应特性。仿真结果验证了运行控制方案的可行性和有效性。     

基于神经网络的模糊自适应PID控制方法

提出一种基于BP神经网络的模糊自适应PID控制器。该控制器综合模糊控制、神经网络与PID调节各自的优点，既具有模糊控制的简单和有效的非线性控制作用，又具有神经网络的学习和适应能力，同时具备PID控制的广泛适应性，仿真实验表明该控制器对模型、环境具有较好的适应能力和较强的鲁棒性。     

投产气井的模糊聚类分析

根据过去对投产气井分类问题的研究与应用效果，提出采用模糊数学的模糊聚类分析方法来研究投产气井的分类问题，通过编制计算机程序对陕甘宁中部气田１６口投产气井应用表明，分类结果更加合理。     

矿井串联系统模糊可靠性理论的研究

矿井系统不仅具有随机性，而且同时也具有模糊性，在系统分析与设计过程中应同时考虑这两种不确定性因素的影响。文中提出了模糊故障、模糊功能、系统模糊运营状态和广义可靠度等概念，并在此基础上提出了求单元及串联系统的生产能力、营运费用、应急维修费用、修理时间和广义可靠度等指标的方法，建立了使系统平均生产能力最大的系统最优运营策略的数学模型。     

An expert PID controller uses refined ziegler and nichols rules and fuzzy logic ideas

This article proposes a scheme for the on-line adjustment of three mode controller settings based on experimental measurements of closed-loop performance. It uses a recently developed heuristic tuning procedure to identify estimated process parameters. This method may give rise to conflicting estimates. Fuzzy Set theory is applied to manage the situation in terms of a fuzzy conjunction to combine the various estimates. PID control was chosen because of its wide use in the industrial environment due to driving simplicity and robustness. The article shows design, development, and computer simulation aspects.     

Multi-heuristic scheduling: three approaches to tune compromises

Most of the available industrial schedulers are based on a simulation approach using dispatching rules. These rules are often dedicated to the satisfaction of a single performance criterion, and are used whatever the characteristics of the workshop or of the set of jobs. An approach which allows one to bring in compromises between rules is set out in this paper. These compromises can be parametered in accordance with the objectives of the workshop and the characteristics of the jobs in order to introduce some reactivity in the decision system. Three ways to set up the parameters are compared: experimental design, fuzzy expert system and neural network. The method allowing one to define compromises can be implemented on each scheduler that uses a simulation approach. Tests have been made with an industrial scheduler called SIPAPLUS, the results of which are developed in this paper.     

模糊综合评判方法在碳酸盐岩油气勘探中的应用

详细地阐述了模糊综合评判方法的数学原理及其在油气勘探开发中的应用.根据某油田的生产层参数资料,运用MICROSOFT EXCEL软件,在对各参数进行统计研究并了解它们分布规律的基础上,合理地构造出一系列隶属函数,通过编制相应的计算机程序,完成综合评判.评判结果与勘探实际吻合较好.该方法有效地适用于碳酸盐岩油气藏的勘探开发.     

二次开发WinCC嵌入模糊控制算法

介绍了WinCC(WindowsControlCenter)的基本功能 ,详细阐述了如何利用WinCC的全局脚本编辑器 ,将用户自行开发的模糊控制算法嵌入WinCC中。通过WinCC与PLC之间的通讯 ,实现对某污水处理装置pH值的模糊控制     

A process-control and diagnostic tool based on continuous fuzzy Petri nets

The use of Petri nets and fuzzy logic in intelligent process control has caught the attention of many researchers. In this paper, a Continuous Fuzzy Petri Net (CFPN) tool which integrates the three technologies of fuzzy control, Petri nets and real-time expert systems is presented. The CFPN approach can deal with real-time continuous inferencing, for the purpose of process monitoring and diagnostics, at a high level in the presence of uncertainty. This tool has been implemented in the G2 real-time expert-system environment and is currently being used by ESSO Canada.