一种自适应模糊串级控制仿真

模糊控制的基本思想就是利用计算机来实现人的定性控制经验。该文考虑了参数变化和干扰的情况 ,并与传统的方法作了比较 ,证明使用模糊串级系统具有良好的阶跃响应品质 ,并具有较好的自适应效果。     

The uses of fuzzy logic in autonomous robot navigation

 The development of techniques for autonomous navigation in real-world environments constitutes one of the major trends in the current research on robotics. An important problem in autonomous navigation is the need to cope with the large amount of uncertainty that is inherent of natural environments. Fuzzy logic has features that make it an adequate tool to address this problem. In this paper, we review some of the possible uses of fuzzy logic in the field of autonomous navigation. We focus on four issues: how to design robust behavior-producing modules; how to coordinate the activity of several such modules; how to use data from the sensors; and how to integrate high-level reasoning and low-level execution. For each issue, we review some of the proposals in the literature, and discuss the pros and cons of fuzzy logic solutions. Received: 31 March 1997 / Accepted: 24 September 1997     

复杂系统的广义预测模糊控制

针对多变量复杂系统提出一种基于广义预测与模糊控制相集成的控制策略。控制器具有多层结构与智能控制特点，不仅计算量小、实时性强，而且具有良好的“解耦”和动态跟踪性能，明显地提高了该类系统的闭环控制效果。     

泥沙随机起动的简化模式

泥沙的起动既有随机性，又有模糊性，据此作者将模糊数学方法引入泥沙起动研究。建立了直接反映泥沙随机起动特性的起动流速计算模式，该模式得到了实测资料的检验。这一模式可以体现泥沙起动的随机性，较好地反映了泥沙起动的本来面目     

Colour classification by neural networks in graphic arts

This paper presents a hierarchical modular neural network for colour classification in graphic arts, capable of distinguishing among very similar colour classes. The network performs analysis in a rough to fine fashion, and is able to achieve a high average classification speed and a low classification error. In the rough stage of the analysis, clusters of highly overlapping colour classes are detected. Discrimination between such colour classes is performed in the next stage by using additional colour information from the surroundings of the pixel being classified. Committees of networks make decisions in the next stage. Outputs of members of the committees are adaptively fused through the BADD defuzzification strategy or the discrete Choquet fuzzy integral. The structure of the network is automatically established during the training process. Experimental investigations show the capability of the network to distinguish among very similar colour classes that can occur in multicoloured printed pictures. The classification accuracy obtained is sufficient for the network to be used for inspecting the quality of multicoloured prints.     

遥感图像的模糊边缘检测技术

本文结合遥感图像的实际背景，给出了可用于操作实施的模糊边缘检测数学模型和算法。     

铅锌烧结过程智能集成优化控制技术

针对复杂的铅锌烧结过程。提出了基于神经网络和模糊专家规则模型的自学习模糊专家控制方法进行状态参数优化，基于神经网络模型的模糊C均值聚类搜索混沌遗传算法进行综合指标参数优化．智能集成优化控制技术具有高效性和实用性，有效地抑制了工况波动，提高了烧结矿产量和质量，取得了较好的工业控制效果．     

pH过程的模糊控制仿真研究

pH过程广泛存在于化工、生物工艺、污水处理、发电等工业过程中，对这一过程进行良好的控制有着十分重要的意义。由于pH过程是一个具有严重非线性及滞后性的被控对象，传统的PID控制难以达到理想的控制效果。本文使用模糊控制技术，设计采用了带有自调整因子的模糊控制器，不仅能较好地处理pH过程的严重非线性和滞后性，而且具有较强的鲁棒性和抗干扰能力。     

A fuzzy constraint satisfaction approach for electronic shopping assistance

The Internet and World Wide Web offer an additional channel for consumers to find, select, and buy products. However, unlike shopping in the traditional store, consumers have no direct contact with human clerks to get the required information in the electronic store. The objective of this paper is to propose a fuzzy constraint satisfaction approach to help buyers find fully satisfactory or replacement products in electronic shopping. For the buyer who can give precise product requirements, the proposed approach can generate product-ranking lists based on the satisfaction degrees of each product to the given requirements. For the buyer who may not input accurate requirements, a similarity analysis approach is proposed to assess buyer requirements automatically during his browsing process. The proposed approach could help buyers find the preferred products on the top of the ranking list without further searching the remaining pages. The experimental results show the applicability of the proposed approach for electronic shopping assistance.     

退火炉燃烧过程的模糊自寻优控制器设计

对退火炉燃烧过程设计了模糊自寻优控制器,采用自寻优控制,自动搜索最佳油/风比,取得了较好的控制效果,且对不可控因素的干扰具有较好的自适应能力。在保温阶段,比手动控制可节能12%左右。