System Identification and Adaptive Control Theory and Applications of the Neurofuzzy and Fuzzy Cognitive Network Models /

Presenting current trends in the development and applications of intelligent systems in engineering, this monograph focuses on recent research results in system identification and control. The recurrent neurofuzzy and the fuzzy cognitive network (FCN) models are presented.  Both models are suitable...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Boutalis, Yiannis (Autor), Theodoridis, Dimitrios (Autor), Kottas, Theodore (Autor), Christodoulou, Manolis A. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2014.
Edición:1st ed. 2014.
Colección:Advances in Industrial Control,
Temas:
Control engineering.
Artificial intelligence.
Computational intelligence.
Industrial engineering.
Production engineering.
Control and Systems Theory.
Artificial Intelligence.
Computational Intelligence.
Industrial and Production Engineering.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Part I The Recurrent Neurofuzzy Model
  • Introduction and Scope
  • Identification of Dynamical Systems Using Recurrent Neurofuzzy Modeling
  • Indirect Adaptive Control Based on the Recurrent Neurofuzzy Model
  • Direct Adaptive Neurofuzzy Control of SISO Systems
  • Direct Adaptive Neurofuzzy Control of MIMO Systems
  • Selected Applications
  • Part II The Fuzzy Cognitive Network Model: Introduction and Outline
  • Existence and Uniqueness of Solutions in FCN
  • Adaptive Estimation Algorithms of FCN Parameters
  • Framework of Operation and Selected Applications.

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