没有合适的资源?快使用搜索试试~ 我知道了~
首页Fuzzy Neural Networks for Real Time Control Applications 无水印原版pdf
Fuzzy Neural Networks for Real Time Control Applications 英文无水印原版pdf pdf所有页面使用FoxitReader、PDF-XChangeViewer、SumatraPDF和Firefox测试都可以打开 本资源转载自网络,如有侵权,请联系上传者或csdn删除 查看此书详细信息请在美国亚马逊官网搜索此书
资源详情
资源评论
资源推荐
FUZZY NEURAL
NETWORKS FOR
REAL TIME
CONTROL
APPLICATIONS
FUZZY NEURAL
NETWORKS FOR
REAL TIME
CONTROL
APPLICATIONS
Concepts, Modeling and
Algorithms for Fast
Learning
ERDAL KAYACAN
MOJTABA AHMADIEH KHANESAR
AMSTERDAM • BOSTON • HEIDELBERG • LONDON
NEW YORK • OXFORD • PARIS • SAN DIEGO
SAN FRANCISCO • SINGAPORE • SYDNEY • TOKYO
Butterworth-Heinemann is an imprint of Elsevier
Butterworth Heinemann is an imprint of Elsevier
The Boulevard, Langford Lane, Kidlington, Oxford OX5 1GB, UK
225 Wyman Street, Waltham, MA 02451, USA
Copyright © 2016 Elsevier Inc. All rights reserved.
No part of this publication may be reproduced or transmitted in any form or by any means, electronic
or mechanical, including photocopying, recording, or any information storage and retrieval system,
without permission in writing from the publisher. Details on how to seek permission, further
information about the Publisher’s permissions policies and our arrangements with organizations such as
the Copyright Clearance Center and the Copyright Licensing Agency, can be found at our website:
www.elsevier.com/permissions
This book and the individual contributions contained in it are protected under copyright by the
Publisher (other than as may be noted herein).
Notices
Knowledge and best practice in this eld are constantly changing. As new research and experience
broaden our understanding, changes in research methods, professional practices, or medical treatment
may become necessary.
Practitioners and researchers must always rely on their own experience and knowledge in evaluating
and using any information, methods, compounds, or experiments described herein. In using such
information or methods they should be mindful of their own safety and the safety of others, including
parties for whom they have a professional responsibility.
To the fullest extent of the law, neither the Publisher nor the authors, contributors, or editors, assume
any liability for any injury and/or damage to persons or property as a matter of products liability,
negligence or otherwise, or from any use or operation of any methods, products, instructions, or ideas
contained in the material herein.
British Library Cataloguing in Publication Data
A catalogue record for this book is available from the British Library
Library of Congress Cataloging- in-Publication Data
A catalog record for this book is available from the Library of Congress
For information on all Butterworth Heinemann publications
visit our website at http://store.elsevier.com/
ISBN: 978-0-12-802687-8
Publisher: Joe Hayton
Acquisition Editor: Sonnini Yura
Editorial Project Manager: Mariana Kühl Leme
Editorial Project Manager Intern: Ana Claudia A. Garcia
Production Manager: Kiruthika Govindaraju
Marketing Manager: Louise Springthorpe
Cover Designer: Mark Rogers
DEDICATION
To Omar Khayyám (1048–1131)
who played with mathematics
not only in science but also in his poems.
v
FOREWORD
When Nilesh Karnik and I developed type-2 fuzzy logic systems (T2FLSs)
in the late 1990s we required the following fundamental design requirement [1]:
When all sources of (membership function) uncertainty disappear a T2FLS
must reduce to a type-1 (T1)FLS. The biggest problem we faced was how to
go from a type-2 fuzzy set (T2FS) to a number—the defuzzied output of
the T2FLS. Our approach was to do this in two steps [2]: (1) type reduction
(TR), in which a T2FS is projected into a T1FS, and (2) defuzzication
of that T1FS. Unfortunately, type reduction cannot be performed using
closed-form formulas; it is done using iterative algorithms, e.g., enhanced
KM Algorithms [3]. Iterative TR may not be a good thing to do in a
real-time T2FLS, especially for fuzzy logic control, because of its inherent
time delays, and not having closed-form formulas means no mathematical
analyses of the T2FLS can be performed, something that is abhorred by
those who like to do analyses.
Beginning in 2001 some courageous researchers proposed T2FLSs that
bypassed TR and went directly to a defuzzied output for the T2FLS. All
of their T2FLSs satised the above fundamental design requirement. I call
these researchers “courageous” because they had the courage to challenge
what we had done, and this is what research should be about.
Hongwei Wu and Mendel [4] were the rst ones to do this when they
developed minimax uncertainty bounds (WM UBs) for the end points of the
type-reduced set. These results became the starting architecture for some of
the applications of Hani Hagras and his students [5]. Next came Nie and Tan
[6] (NT) who took the union of the red-rule output sets and computed
the output of the resulting T2FLS as the center of gravity of the average
of its lower and upper membership functions (MFs). Biglarbegian et al. [7]
(BMM) proposed three simplied architectures each of which combined the
left and right ends of the ring intervals in dierent ways. In one of these
architectures the output of the T2FLS is a weighted combination of two
very simple T1FLSs, one associated with the left-end values of the ring
intervals and the other with the right-end values of the ring intervals (this
is sometimes called an m-n or BMM architecture) and, in another of these
architectures the T2FLS is assumed to be a weighted average of the average
of the lower and upper ring intervals, where the weights are the respective
consequents of TSK rules. The latter is analogous to the NT architecture
xi
剩余249页未读,继续阅读
yinkaisheng-nj
- 粉丝: 763
- 资源: 6953
上传资源 快速赚钱
- 我的内容管理 收起
- 我的资源 快来上传第一个资源
- 我的收益 登录查看自己的收益
- 我的积分 登录查看自己的积分
- 我的C币 登录后查看C币余额
- 我的收藏
- 我的下载
- 下载帮助
会员权益专享
最新资源
- 2023年中国辣条食品行业创新及消费需求洞察报告.pptx
- 2023年半导体行业20强品牌.pptx
- 2023年全球电力行业评论.pptx
- 2023年全球网络安全现状-劳动力资源和网络运营的全球发展新态势.pptx
- 毕业设计-基于单片机的液体密度检测系统设计.doc
- 家用清扫机器人设计.doc
- 基于VB+数据库SQL的教师信息管理系统设计与实现 计算机专业设计范文模板参考资料.pdf
- 官塘驿林场林防火(资源监管)“空天地人”四位一体监测系统方案.doc
- 基于专利语义表征的技术预见方法及其应用.docx
- 浅谈电子商务的现状及发展趋势学习总结.doc
- 基于单片机的智能仓库温湿度控制系统 (2).pdf
- 基于SSM框架知识产权管理系统 (2).pdf
- 9年终工作总结新年计划PPT模板.pptx
- Hytera海能达CH04L01 说明书.pdf
- 数据中心运维操作标准及流程.pdf
- 报告模板 -成本分析与报告培训之三.pptx
资源上传下载、课程学习等过程中有任何疑问或建议,欢迎提出宝贵意见哦~我们会及时处理!
点击此处反馈
安全验证
文档复制为VIP权益,开通VIP直接复制
信息提交成功
评论0