Fuzzy logic for embedded systems applications / by Ahmad M. Ibrahim.

Format:

Book

Author/Creator:

Ibrahim, Ahmad M., 1951-

Series:

Embedded technology series.

Embedded technology series

Language:

English

Subjects (All):

Embedded computer systems--Design and construction.

Embedded computer systems.

Fuzzy logic.

Physical Description:

1 online resource (313 p.)

Place of Publication:

Amsterdam ; Boston, Mass. : Newnes, 2004.

Language Note:

English

Summary:

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 des

Contents:

front cover; copyright; table of contents; front matter; Preface; About the Author; What's on the CD-ROM?; body; 1. Embedded Systems: An Overview; 1.1 Definition and Examples; 1.2 Further Features of Embedded Systems; 1.3 Design Metrics; 1.4 Implementation; 1.5 Fuzzy Logic and Embedded Systems; 2. Fuzzy Sets; 2.1 Introduction; 2.2 Classical Sets; 2.3 Set Operations; 2.4 Boolean Logic; 2.5 Basic Concepts of Fuzzy Sets; 2.6 Other Representations of Fuzzy Sets; 2.7 Determination of Membership Functions; 2.8 Fuzzy Sets Properties; 2.9 Operations on Fuzzy Sets; 3. Fuzzy Relations; 3.1 Introduction

3.2 Classical Relations3.3 Classical Reasoning; 3.4 Fundamentals of Fuzzy Relations; 3.5 Operations on Binary Fuzzy Relations; 3.6 Types of Fuzzy Relations; 3.7 Fuzzy Reasoning; 4. Embedded Fuzzy Applications; 4.1 Introduction; 4.2 Conventional Control Systems; 4.3 Fuzzy Logic Controller (FLC); 4.4 Simplified Examples of Applications; 5. Critique of Fuzzy Logic; 5.1 Introduction; 5.2 Objectives of Fuzzy Logic; 5.3 What's in a Name?; 5.4 Fuzziness vs. Probability; 5.5 Fuzzy Logic vs. Multiple-Valued Logic; 5.6 Philosophical Issues; 5.7 Engineering Applications Issues; 6. Neural Networks

6.1 Introduction6.2 Background; 6.3 Learning; 6.4 The Basic Neuron Model; 6.5 The Perceptron; 6.6 The Multilayer Perceptron; 6.7 Recurrent Network; 6.8 Kohonen Self-Organizing Networks; 6.9 Adaptive Resonance Theory,; 7. Hybrid Systems; 7.1 Introduction; 7.2 Fuzzy Neuron; 7.3 Multilayer FNN Architectures; 7.4 Fuzzy; 7.6 Fuzzy; 7.7 Neural Fuzzy Systems; 8. Hardware Implementations; 8.1 Introduction; 8.2 Digital Techniques; 8.3 Analog Techniques; 8.4 Fuzzy Analog Memory; 8.5 Neurons; 9. Software Tools; 9.1 Introduction; 9.2 Software Overview; back matter; Quizzes; Appendix: Genetic Algorithms

Symbols and AcronymsCircuit Symbols and MOSFETs; Glossary; index

Notes:

Description based upon print version of record.

ISBN:

9786610964291

9781280964299

1280964294

9780080469904

0080469906

OCLC:

437176600