Analytical Methods in Fuzzy Modeling and Control

• Main Author: Kluska, Jasek. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
• Series: Studies in Fuzziness and Soft Computing, 241
• Subjects: Engineering.; Artificial intelligence.; Engineering mathematics.; Control engineering systems.; Appl.Mathematics/Computational Methods of Engineering.; Artificial Intelligence (incl. Robotics).; Control , Robotics, Mechatronics.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-540-89927-3

This book is focused on mathematical analysis and rigorous design methods for fuzzy control systems based on Takagi-Sugeno fuzzy models, sometimes called Takagi-Sugeno-Kang models. The author presents a rather general analytical theory of exact fuzzy modeling and control of continuous and discrete-t...

Table of Contents:

• Introduction
• MISO Takagi-Sugeno Fuzzy System with Linear Membership Functions
• Recursion in TS Systems with Two Fuzzy Sets for Every Input
• Fuzzy Rule-Based Systems with Polynomial Membership Functions
• Comprehensive Study and Applications of P1-TS Systems
• Modeling of Multilinear Dynamical Systems from Experimental Data
• Binary Classification Using P1-TS Rule Scheme.