Quasi-Linear Approach to FRB Models (Off-Line) Identification

  • Plamen P. Angelov
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 92)


The quasi-linear nature of TSK models allows separating the identification problem into two sub-problems:
  • appropriate partitioning of the state space of interest by clustering;

  • parameter identification of the consequent part.


Membership Function Cluster Centre Linguistic Term Subtractive Cluster Consequent Part 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Plamen P. Angelov
    • 1
  1. 1.Department of Civil and Building EngineeringLoughborough UniversityLoughboroughUK

Personalised recommendations