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Related Topics: Technology >> Electronics >> Microelectronics
Microelectronic Design of Fuzzy Logic-Based Systems,9780849300912
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Microelectronic Design of Fuzzy Logic-Based Systems


Author(s): Baturone; Iluminada
ISBN10:  0849300916
ISBN13:  9780849300912
Format:  Hardcover
Pub. Date:  3/30/2000
Publisher(s): CRC

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SummaryTable of Contents
Fuzzy logic has virtually exploded over the landscape of emerging tech nologies, becoming an integral part of myriad applications and a stand ard tool for engineers. Until recently, most of the attention and appl ications have centered on fuzzy systems implemented in software. But t hese systems are limited. Problems that require real-time operation, l ow area, or low power consumption demand hardware designed to the fuzz y paradigm - and engineers with the background and skills to design it . Microelectronic Design of Fuzzy Logic-Based Systems offers low-cost answers to issues that software cannot resolve. From the theoretical, architectural, and technological foundation to design tools and applic ations, it serves as your guide to effective hardware realizations of fuzzy logic.
Introduction
1(6)
Methods for Information Representation and Processing
1(1)
Fuzzy Sets and Fuzzy Logic
2(1)
A Brief History of Fuzzy Logic
3(1)
Fuzzy Logic Application Domain
4(2)
References
6(1)
Fuzzy Set Theory
7(12)
Fuzzy Sets
7(4)
The Concept of Membership Function
8(2)
Terminology for Fuzzy Sets
10(1)
Operations with Fuzzy Sets
11(4)
Union, Intersection, and Complement
11(1)
Fuzzy Intersection: t-Norms
12(1)
Fuzzy Union: s-Norms
13(1)
Fuzzy Complement: c-Norms
14(1)
Properties of Fuzzy Sets
15(1)
Fuzzy Relations
15(3)
Composition of Fuzzy Relations
16(2)
References
18(1)
Fuzzy Inference Systems
19(24)
Linguistic Variables
19(1)
Fuzzy Rules
20(5)
Linguistic Connectives
20(1)
Implication Function
21(4)
Approximate Reasoning Techniques
25(4)
Generalized Modus Ponens/Tollens
25(1)
Compositional Rule of Inference
26(1)
Aggregation Operator
27(2)
Rule-Based Inference Mechanisms
29(2)
Min-Max Inference
30(1)
Product-Sum Inference
30(1)
Defuzzification Methods
31(8)
Conventional Defuzzification Methods
32(2)
Simplified Defuzzification Methods
34(5)
Types of Fuzzy Systems
39(1)
Structure of a Fuzzy System
40(2)
References
42(1)
Fuzzy System Development
43(30)
Definition of a Fuzzy System
43(5)
Selection of System Variables
43(2)
Rule Base Definition
45(3)
Selection of Fuzzy Operators
48(1)
CAD Tools for Fuzzy Systems
48(7)
Specification Language
49(2)
Facilities for System Definition
51(1)
Fuzzy Operators
51(1)
Integration with Other Tools
52(1)
Facilities for Tuning, Verification, and Analysis
53(1)
Synthesis Capabilities
53(2)
The Xfuzzy Development Environment
55(16)
The XFL Language
57(1)
Structure of an XFL Definition
57(8)
Describing Fuzzy Systems with Xfuzzy
65(6)
Software Synthesis of XFL-Based Systems
71(1)
References
71(2)
Fuzzy System Verification
73(28)
Learning Techniques for Fuzzy Systems
74(11)
The Error Function
75(2)
Gradient Descent Algorithms
77(5)
Other Supervised Learning Algorithms
82(3)
Learning on XFL-Based Systems
85(6)
Command Line Interface
88(1)
Graphical User Interface
88(3)
Simulation of Fuzzy Systems
91(1)
Simulation of XFL-Based Systems
92(4)
Command Line Interface
94(1)
Graphical User Interface
95(1)
On-Line Verification of XFL-Based Systems
96(4)
References
100(1)
Hardware Realization of Fuzzy Systems
101(24)
Fuzzy System Implementations Depending on the Application
101(4)
Fuzzy System Realizations with General-Purpose Processors
105(4)
Parallelism of Fuzzy Systems
105(1)
Non-Standard Operations of Fuzzy Systems
105(1)
Hardware Expansion of General-Purpose Processors
106(3)
Fuzzy System Realizations with Dedicated Hardware
109(12)
Hardware Realization Strategies
109(3)
Implementation Techniques of Integrated Circuits
112(3)
Design Methodologies of Integrated Circuits
115(1)
Analog and Digital Design Styles
116(5)
References
121(4)
Continuous-Time Analog Techniques for Designing Fuzzy Integrated Circuits
125(56)
The First Analog Fuzzy Integrated Circuits
125(2)
Fully Parallel Architectures
127(9)
Rule by Rule Architecture
128(2)
Architecture That Shares Circuitry
130(2)
Active Rule-Driven Architecture
132(4)
Fuzzification Stage
136(9)
Transconductance-Mode MFCs
137(3)
Current-Mode MFCs
140(5)
Rule Processing Stage
145(13)
Minimum and Maximum Operators
146(5)
Product Operators
151(6)
Scaling Operators
157(1)
Addition Operators
158(1)
Output Stage
158(9)
Fuzzy Representation of Consequents
160(1)
Parametric Representation of Consequents
161(6)
Design of a Current-Mode CMOS Prototype
167(9)
References
176(5)
Discrete-Time Analog Techniques for Designing Fuzzy Integrated Circuits
181(28)
Sequential Architectures
182(3)
Sequential Architecture for Mamdani-Type Fuzzy Systems
182(2)
Sequential Architecture for Singleton Fuzzy Systems
184(1)
Fuzzification Stage
185(4)
Serial MFC
186(1)
Parallel MFC
187(2)
Rule Processing Stage
189(6)
Minimum and Maximum Operators
189(3)
Addition and Scaling Operators
192(2)
Memory Cells
194(1)
Output Stage
195(7)
Fuzzy Representation of Consequents: Accumulator Circuits
195(1)
Parametric Representation of Consequents: Discrete-Time Multiplier/Divider Circuits
196(6)
Timing and Inference Speed of Discrete-Time Singleton Fuzzy ICs
202(1)
Design of an SC CMOS Prototype
203(4)
References
207(2)
Digital Techniques for Designing Fuzzy Integrated Circuits
209(30)
The First Digital Fuzzy Integrated Circuits
209(2)
Architectures of Digital Fuzzy Integrated Circuits
211(5)
Parallel Rule Processing Architectures
211(2)
Sequential Rule Processing Architectures
213(1)
Active Rule-Driven Architectures
214(2)
Fuzzification Stage
216(4)
Memory-Based Approach
216(1)
Algorithm-Based Approach
217(3)
Rule Processing and Defuzzification Stages
220(3)
Active Rule-Driven Architecture with Simplified Defuzzification Methods
223(13)
Implementation Options
224(2)
Operation Modes and Timing Schemes
226(1)
Performance Analysis
227(5)
Prototypes
232(4)
References
236(3)
Fuzzy System Synthesis
239(24)
Hardware Synthesis of Fuzzy Systems
239(2)
Describing Fuzzy Systems with a Hardware Description Language: VHDL
241(4)
Modeling Fuzzy Systems with VHDL
243(1)
Fuzzy System Synthesis from VHDL
244(1)
Tools for Hardware Synthesis in Xfuzzy
245(14)
Synthesis Based on Off-Line Strategies
245(3)
Using xftl
248(1)
Synthesis Based on On-Line Strategies
249(3)
VHDL Component Library
252(2)
xfvhdl Output Files
254(2)
Using xfvhdl
256(2)
Limitations to the XFL Model
258(1)
A Design Methodology for Fuzzy Systems
259(3)
References
262(1)
Fuzzy Systems as Controllers
263(22)
Conventional Control Systems
264(3)
Fuzzy Control Systems
267(6)
Components of a Fuzzy Control System
269(2)
Fuzzy Controller Development
271(2)
Application Example: Ball Suspended by an Airflow
273(10)
Controller Definition
273(3)
System Simulation
276(2)
On-Line Verification of the Controller
278(3)
Hardware Design and Implementation of the Controller
281(2)
References
283(2)
Fuzzy Systems as Approximators
285(26)
Approximation Capability of Fuzzy Systems
286(7)
Local Piecewise Interpolation
286(1)
Analysis of Singleton Fuzzy Systems
287(6)
Applications Using Off-Chip Learning
293(7)
Modeling of Non-Linear Static Systems
293(2)
Analysis and Discussion of FPGA Implementations
295(5)
Applications Using On-Chip Learning
300(9)
Analysis and Discussion of ASIC Implementations
300(3)
Identification of a Dynamic Plant
303(1)
Prediction of Time Series
304(2)
Adaptive Noise Cancellation System
306(3)
References
309(2)
Index 311

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