Fuzzy Logic for Embedded Systems Applications -  Ahmad Ibrahim

Fuzzy Logic for Embedded Systems Applications (eBook)

eBook Download: PDF
2003 | 1. Auflage
312 Seiten
Elsevier Science (Verlag)
978-0-08-046990-4 (ISBN)
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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
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

front cover 1
copyright 5
table of contents 6
front matter 12
Preface 12
About the Author 16
What’s on the CD-ROM? 17
body 18
1. Embedded Systems: An Overview 18
1.1 Definition and Examples 18
1.2 Further Features of Embedded Systems 19
1.3 Design Metrics 21
1.4 Implementation 23
1.5 Fuzzy Logic and Embedded Systems 29
2. Fuzzy Sets 40
2.1 Introduction 40
2.2 Classical Sets 40
2.3 Set Operations 42
2.4 Boolean Logic 48
2.5 Basic Concepts of Fuzzy Sets 48
2.6 Other Representations of Fuzzy Sets 49
2.7 Determination of Membership Functions 52
2.8 Fuzzy Sets Properties 52
2.9 Operations on Fuzzy Sets 54
3. Fuzzy Relations 70
3.1 Introduction 70
3.2 Classical Relations 70
3.3 Classical Reasoning 75
3.4 Fundamentals of Fuzzy Relations 76
3.5 Operations on Binary Fuzzy Relations 76
3.6 Types of Fuzzy Relations 79
3.7 Fuzzy Reasoning 80
4. Embedded Fuzzy Applications 86
4.1 Introduction 86
4.2 Conventional Control Systems 86
4.3 Fuzzy Logic Controller (FLC) 90
4.4 Simplified Examples of Applications 100
5. Critique of Fuzzy Logic 116
5.1 Introduction 116
5.2 Objectives of Fuzzy Logic 116
5.3 What’s in a Name? 117
5.4 Fuzziness vs. Probability 118
5.5 Fuzzy Logic vs. Multiple-Valued Logic 119
5.6 Philosophical Issues 120
5.7 Engineering Applications Issues 122
6. Neural Networks 128
6.1 Introduction 128
6.2 Background 128
6.3 Learning 129
6.4 The Basic Neuron Model 129
6.5 The Perceptron 133
6.6 The Multilayer Perceptron 135
6.7 Recurrent Network 139
6.8 Kohonen Self-Organizing Networks 142
6.9 Adaptive Resonance Theory, 145
7. Hybrid Systems 158
7.1 Introduction 158
7.2 Fuzzy Neuron 158
7.3 Multilayer FNN Architectures 160
7.4 Fuzzy 162
7.6 Fuzzy 164
7.7 Neural Fuzzy Systems 165
8. Hardware Implementations 178
8.1 Introduction 178
8.2 Digital Techniques 179
8.3 Analog Techniques 181
8.4 Fuzzy Analog Memory 198
8.5 Neurons 199
9. Software Tools 222
9.1 Introduction 222
9.2 Software Overview 223
back matter 258
Quizzes 258
Appendix: Genetic Algorithms 268
Symbols and Acronyms 282
Circuit Symbols and MOSFETs 286
Glossary 292
index 306

Erscheint lt. Verlag 16.10.2003
Sprache englisch
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Mathematik / Informatik Mathematik Angewandte Mathematik
Technik Elektrotechnik / Energietechnik
Technik Maschinenbau
ISBN-10 0-08-046990-6 / 0080469906
ISBN-13 978-0-08-046990-4 / 9780080469904
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