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

• Main Authors: Boutalis, Yiannis (Author), Theodoridis, Dimitrios (Author), Kottas, Theodore (Author), Christodoulou, Manolis A. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2014.
• Series: Advances in Industrial Control,
• Subjects: 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...

Table of Contents:

• 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.