Evolving Rule-Based Models A Tool for Design of Flexible Adaptive Systems /

• Main Author: Angelov, Plamen P. (Author, http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Heidelberg : Physica-Verlag HD : Imprint: Physica, 2002.
• Edition: 1st ed. 2002.
• Series: Studies in Fuzziness and Soft Computing, 92
• Subjects: Mathematical logic.; System theory.; Artificial intelligence.; Computational complexity.; Mathematical Logic and Foundations.; Systems Theory, Control.; Artificial Intelligence.; Complexity.

The objects of modelling and control change due to dynamical characteristics, fault development or simply ageing. There is a need to up-date models inheriting useful structure and parameter information. The book gives an original solution to this problem with a number of examples. It treats an origi...

Table of Contents:

• 1 Introduction
• I System Modelling: Basic Principles
• 2 Conventional Models
• 3 Flexible Models
• II Flexible Models Identification
• 4 Non-linear Approach to (Off-line) Identification of Flexible Models
• 5 Quasi-linear Approach to FRB Models (Off-line) Identification
• 6 Intelligent and Smart Adaptive Systems
• 7 On-line Identification of Flexible TSK-type Models
• III Engineering Applications
• 8 Modelling Indoor Climate Control Systems
• 9 On-line Modelling of Fermentation Processes
• 10 Intelligent Risk Assessment
• 11 Conclusions
• References.