409,00 $ CA
+ 20,99 $ CA Livraison

Fuzzy Systems

  • Marque: Unbranded

Fuzzy Systems

  • Marque: Unbranded
Prix : 409,00 $ CA
Verkocht door:
409,00 $ CA
+ 20,99 $ CA Livraison

En stock

Nous acceptons les modes de paiement suivants

Description

Introduction: The Real Contribution of Fuzzy Systems. - References. - Methodology of Fuzzy Control. - 1. 1 Introduction: Why Fuzzy Control. - 1. 2 How to Translate Fuzzy Rules into the Actual Control: General Idea. - 1. 3 Membership Functions and Where They Come From. - 1. 4 Fuzzy Logical Operations. - 1. 5 Modeling Fuzzy Rule Bases. - 1. 6 Inference From Several Fuzzy Rules. - 1. 7 Defuzzification. - 1. 8 The Basic Steps of Fuzzy Control: Summary. - 1. 9 Tuning. - 1. 10 Methodologies of Fuzzy Control: Which Is The Best?. - References. - to Fuzzy Modeling. - 2. 1 Introduction. - 2. 2 Takagi-Sugeno Fuzzy Model. - 2. 3 Sugeno-Kang Method. - 2. 4 Sofia. - 2. 5 Conclusion. - References. - Fuzzy Rule-Based Models and Approximate Reasoning. - 3. 1 Introduction. - 3. 2 Linguistic Models. - 3. 3 Inference with Fuzzy Models. - 3. 4 Mamdani (Constructive) and Logical (Destructive) Models. - 3. 5 Linguistic Models With Crisp Outputs. - 3. 6 Multiple Variable Linguistic Models. - 3. 7 Takagi-Sugeno-Kang (TSK) Models. - 3. 8 A General View of Fuzzy Systems Modeling. - 3. 9 MICA Operators. - 3. 10 Aggregation in Fuzzy Systems Modeling. - 3. 11 Dynamic Fuzzy Systems Models. - 3. 12 TSK Models of Dynamic Systems. - 3. 13 Conclusion. - References. - Fuzzy Rule Based Modeling as a Universal Approximation Tool. - 4. 1 Introduction. - 4. 2 Main Universal Approximation Results. - 4. 3 Can We Guarantee That the Approximation Function has the Desired Properties (Such as Smoothness Simplicity Stability of the Resulting Control etc. )?. - 4. 4 Auxiliary Approximation Results. - 4. 5 How to Make the Approximation Results More Realistic. - 4. 6 From All Fuzzy Rule Based Modeling Methodologies That are Universal Appriximation Tools Which Methodology Should We Choose?. - 4. 7 A Natural Next Question: When Should We Choose Fuzzy Rule Based Modeling in the First Place? andWhen is Say Neural Modeling Better?. - References. - Fuzzy and Linear Controllers. - 5. 1 Introduction. - 5. 2 Modal Equivalence Principle. - 5. 3 Application to PI Controllers. - 5. 4 Application to State Feedback Fuzzy Controllers. - 5. 5 Equivalence for Sugeno's Controllers. - 5. 6 Conclusion. - References. - Designs of Fuzzy Controllers. - 6. 1 Introduction. - 6. 2 Fuzzy Control Techniques. - 6. 3 The FC as a Nonlinear Transfer Element. - 6. 4 Heuristic Control and Model Based Control. - 6. 5 Supervisory Control. - 6. 6 Adaptive Control. - References. - Stability of Fuzzy Controllers. - 7. 1 Introduction. - 7. 2 Stability Conditions Based on Lyapunov Approach. - 7. 3 Fuzzy Controller Design. - References. - Learning and Tuning of Fuzzy Rules. - 8. 1 Introduction. - 8. 2 Learning Fuzzy Rules. - 8. 3 Tuning Fuzzy Rules. - 8. 4 Learning and Tuning Fuzzy Rules. - 8. 5 Summary and Conclusion. - References. - Neurofuzzy Systems. - 9. 1 Introduction. - 9. 2 Synergy of Neural Networks and Fuzzy Logic. - 9. 3 Fuzzy sets in the technology of neurocomputing. - 9. 4 Hybrid Fuzzy Neural Computing Structures. - 9. 5 Fuzzy Neurocomputing a Fusion of Fuzzy and Neural Technology. - 9. 6 Constructing Hybrid Neurofuzzy Systems. - 9. 7 Summary. - References. - Neural Networks and Fuzzy Logic. - 10. 1 Introduction. - 10. 2 Liquid Level Control Problem. - 10. 3 Fuzzy Rule Development. - 10. 4 Integrated System Architectures. - 10. 5 FNN3 Training Algorithm. - 10. 6 Conclusions. - References. - Fuzzy Genetic Algorithms. - 11. 1 Introduction. - 11. 2 What is a Genetic Algorithm?. - 11. 3 Fuzzy Genetic Algorithms. - 11. 4 Fuzzy Genetic Programming. - References. - Fuzzy Systems Viability Theory and Toll Sets. - 12. 1 Introduction. - 12. 2 Convexification Procedures. - 12. 3 Toll Sets. - 12. 4 Fuzzy or Toll Differential Inclusions. - References. - Chaos and Fuzzy Systems. - 13. 1Introduction. - 13. 2 Preliminaries. - 13. 3 Dynamical Systems and Chaos. - 13. 4 Information Content of Fuzzy Sets. - 13. 5 Chaotic Mappings on (Dn d?). - 13. 6 r-Fuzzification. - 13. 7 Chaos and Fuzzification. - 13. 8 Nondegenerate Periodicities and Chaos. - 13. 9 Examples of Fuzzy Chaos. - 13. 10 Conclusion. - 13. 11 Appendix. - References. Language: English
  • Marque: Unbranded
  • Catégorie: Éducation
  • Nombre de pages: 519
  • Date de publication: 2012/10/12
  • Editeur / Label: Springer
  • Format: Paperback
  • Langue: English
  • Artiste: Hung T. Nguyen
  • Identifiant Fruugo: 343653468-752834497
  • ISBN: 9781461375159

Livraison & retours

Expédition dans un délai de 4 jours

  • STANDARD: 20,99 $ CA - Livraison entre mer. 29 octobre 2025–mar. 04 novembre 2025

Expédition de Royaume-Uni.

Nous mettons tout en œuvre pour que les produits que vous commandez vous soient livrés dans leur intégralité et selon vos indications. Néanmoins, si vous recevez une commande incomplète, des articles différents de ceux commandés ou si, pour toute autre raison, la commande ne vous satisfait pas, vous pouvez retourner la commande ou tout produit inclus dans celle-ci et recevoir un remboursement complet des articles. Voir l'intégralité de la politique de retour