Fuzzy Logic for Embedded Systems Applications, First Edition (Embedded Technology)

✍ Scribed by Ahmad Ibrahim

• Year: 2003
• Tongue: English
• Leaves: 312
• Category: Library

✦ Synopsis

Fuzzy Logic for Embedded Systems Applications, by a recognized expert in the field, covers all the basic theory relevant to electronics design, with particular emphasis on embedded systems, and shows how the techniques can be applied to shorten design cycles and handle logic problems that are tough to solve using conventional linear techniques. All the latest advances in the field aree discussed and practical circuit design examples presented.Fuzzy logic has been found to be particularly suitable for many embedded control applications. The intuitive nature of the fuzzy-based system design saves engineers time and reduces costs by shortening product development cycles and making system maintenance and adjustments easier. Yet despite its wide acceptance-and perhaps because of its name-it is still misunderstood and feared by many engineers. There is a need for embedded systems designers-both hardware and software-to get up to speed on the principles and applications of fuzzy logic in order to ascertain when and how to use them appropriately. Fuzzy Logic for Embedded Systems Applications provides practical guidelines for designing electronic circuits and devices for embedded systems using fuzzy-based logic. It covers both theory and applications with design examples. * Unified approach to fuzzy electronics from an engineering point of view Easy to follow with plenty of examples Review and evaluation of free resources

✦ Table of Contents

Title Page......Page 3
Copyright Page......Page 4
Contents (hyperlinked)......Page 5
Preface......Page 11
About the Author......Page 15
What’s on the CD-ROM?......Page 16
1.1 Definition and Examples......Page 17
1.2 Further Features of Embedded Systems......Page 18
1.3 Design Metrics......Page 20
1.4.1 Processor Technologies......Page 22
1.4.2 Integrated Circuit Technologies......Page 23
1.4.3 Design Technologies......Page 27
1.5 Fuzzy Logic and Embedded Systems......Page 28
Concluding Remarks......Page 29
Bibliography......Page 30
Web Resources......Page 32
2.2 Classical Sets......Page 39
2.3 Set Operations......Page 41
2.5 Basic Concepts of Fuzzy Sets......Page 47
2.6 Other Representations of Fuzzy Sets......Page 48
2.8 Fuzzy Sets Properties......Page 51
2.9.1 Logic Operations......Page 53
2.9.2 Algebraic Operations on Fuzzy Sets......Page 58
Concluding Remarks......Page 63
Bibliography......Page 64
Web Resources......Page 65
3.2 Classical Relations......Page 69
3.3 Classical Reasoning......Page 74
3.5 Operations on Binary Fuzzy Relations......Page 75
3.6 Types of Fuzzy Relations......Page 78
3.7 Fuzzy Reasoning......Page 79
Concluding Remarks......Page 81
Bibliography......Page 82
Web Resources......Page 83
4.2.1 Description......Page 85
4.2.2 Analysis......Page 87
4.2.4 PID Control......Page 88
4.3.1 Description......Page 89
4.3.2 Design......Page 90
4.3.3 Defuzzification......Page 91
4.3.4 Analysis......Page 94
4.4.1 Washing machine......Page 99
Concluding Remarks......Page 105
Bibliography......Page 106
Web Resources......Page 109
5.2 Objectives of Fuzzy Logic......Page 115
5.3 What’s in a Name?......Page 116
5.4 Fuzziness vs. Probability......Page 117
5.5 Fuzzy Logic vs. Multiple-Valued Logic......Page 118
5.6 Philosophical Issues......Page 119
5.7 Engineering Applications Issues......Page 121
Concluding Remarks......Page 123
Bibliography......Page 124
6.2 Background......Page 127
6.4 The Basic Neuron Model......Page 128
6.5 The Perceptron......Page 132
6.6 The Multilayer Perceptron......Page 134
6.7.1 Hopfield Networks......Page 138
6.7.2 Boltzmann Machine Networks......Page 140
6.8.1 Background......Page 141
6.8.2 Description......Page 142
6.8.4 Learning algorithm......Page 143
6.9.2 ART......Page 144
Concluding Remarks......Page 147
Bibliography......Page 148
Web Resources......Page 150
7.2 Fuzzy Neuron......Page 157
7.3 Multilayer FNN Architectures......Page 159
7.4 Fuzzy ART......Page 161
7.6 Fuzzy ARTMAP......Page 163
7.7 Neural Fuzzy Systems......Page 164
Concluding Remarks......Page 167
Bibliography......Page 168
Web Resources......Page 172
8.1 Introduction......Page 177
8.2 Digital Techniques......Page 178
8.3.1 Voltage mode......Page 180
8.3.2 Current mode......Page 183
8.3.3 Mixed Mode......Page 194
8.4 Fuzzy Analog Memory......Page 197
8.5 Neurons......Page 198
Concluding Remarks......Page 201
Bibliography......Page 202
Web Resources......Page 207
9.1 Introduction......Page 221
9.2 Software Overview......Page 222
Embedded Systems......Page 257
Fuzzy Sets & Relations......Page 258
Embedded Fuzzy Applications......Page 260
Neural Networks......Page 262
Hybrid Systems......Page 264
Hardware Realization......Page 265
1. Introduction......Page 267
2.1 Glossaries......Page 271
2.2 Introductions and Tutorials......Page 272
2.4 Interactive Demos......Page 275
2.5 Java Related Resources......Page 276
2.7 Other Languages Resources......Page 277
2.8 Fuzzy Logic and Genetic Algorithms......Page 278
Symbols and Acronyms......Page 281
Circuit Symbols and MOSFETs......Page 285
Glossary......Page 291
Index (hyperlinked)......Page 305

✦ Subjects

Информатика и вычислительная техника;Информационные технологии;