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1 Introduction
1£®1 Book Outline
References

2 Fuzzy Logic Systems
2£®1 Introduction
2£®2 Type-l Fuzzy Sets
2£®3 Type-l Fuzzy Logic Systems
2£®3£®1 Fuzzifier
2£®3£®2 Rule-Base
2£®3£®3 Inference Engine
2£®3£®4 Output Processor
2£®3£®5 Considerations About Type-l Fuzzy Logic Systems
2£®4 Type-2 Fuzzy Sets
2£®5 Type-2 Fuzzy Logic Systems
2£®5£®1 Fuzzifier
2£®5£®2 Rule-Base
2£®5£®3 Inference Engine
2£®5£®4 Type-Reduction
2£®5£®5 Defuzzifier
2£®6 Comparative Analysis
2£®7 Conclusions
References

3 Takagi-Sugeno Fuzzy Logic Systems
3£®1 Introduction
3£®2 Type-l Takagi-Sugeno Fuzzy Logic Systems
3£®3 Type-2 Takagi-Sugeno Fuzzy Logic Systems
3£®3£®1 A2-Cl Structure
3£®3 £¬2 A2-CO Structure
3£®3£®3 Al-Cl Structure
3£®4 ANFIS Based on Type-2 TS Fuzzy Logic Systems
3£®5 Training Algorithms for TS Fuzzy Systems
3£®5£®1 Model Initialization
3£®5£®2 Training of the Antecedent Part of the Rule Base
3£®5£®3 Training of the Consequent Part of the Rule Base
3£®6 Conclusions
References

4 System Modeling Using Type-2 Takagi-Sugeno Fuzzy Systems
4£®1 Introduction
4£®2 Locally Linear Models Based on Type-2 TS Fuzzy Logic Systems
4£®2£®1 Development of the Interpolated Interval Type-2 Fuzzy Model
4£®2£®2 Development of the n-step Ahead Predictor
4£®3 Application Scenarios
4£®3£®1 Fermentation Reactor Modeling
4£®3£®2 Coupled Tanks Modeling
4£®4 Conclusions
References¡¢

5 Model Predictive Control Using Type-2 Takagi-Sugeno Fuzzy Systems
5£®1 Introduction
5£®2 Generalized Predictive Control
5£®3 Derivation of a n-step Ahead Predictor
5£®4 Extension of Generalized Predictive Control to Non-linear Models
5£®4£®1 Generalized Predictive Control Using Type-2 TS Fuzzy Models
5£®5 Application Scenarios
5£®5£®1 Fermentation Reactor's Temperature Control
5£®5£®2 Coupled Tanks Liquid Level Control
5£®6 Conclusions
References

6 Processor-In-the-Loop Simulation
6£®1 Introduction
6£®2 PIL Architecture
6£®2£®1 Development Board
6£®2£®2 Embedded System's Software Architecture
6£®3 System Evaluation
6£®4 Conclusions
References

7 Conclusions
Appendix