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

• Κύριοι συγγραφείς: Boutalis, Yiannis (Συγγραφέας), Theodoridis, Dimitrios (Συγγραφέας), Kottas, Theodore (Συγγραφέας), Christodoulou, Manolis A. (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2014.
• Σειρά: Advances in Industrial Control,
• Θέματα: Engineering.; Artificial intelligence.; Computational intelligence.; Control engineering.; Industrial engineering.; Production engineering.; Control.; Artificial Intelligence (incl. Robotics).; Computational Intelligence.; Industrial and Production Engineering.

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...

Πίνακας περιεχομένων:

• 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.