Dear Colleagues,

I would like to call your kind attention to the updated website of
the Soft Computing Research Group at the University of Veszprem
(Hungary)

http://www.fmt.vein.hu/softcomp/

You can download MATLAB Toolboxes:

  - Fuzzy Clustering MATLAB Toolbox
  - Genetic Programming MATLAB Toolbox
  - Interactive Evolutionary Strategy (EASy) MATLAB Toolbox
  - Constrained Fuzzy Model Identification for the FMID Toolbox

independent MATLAB programs related to:

  - Data mining
      * Fuzzy clustering based time-series segmentation
      * Supervised Fuzzy Clustering for the Identification of Fuzzy Classifiers
      * Fuzzy Modeling with Multidimensional Membership Functions: Grey-Box 
Identification and Control Design
      * Compact TS-Fuzzy Models through Clustering and OLS plus FIS Model 
Reduction
      * Inconsistency Analysis of Labeled Data
      * Star plots - MATLAB files for Graphical Representation of trace 
elements of clinkers

  - Process control and monitoring
     * Feedback Linearizing Control Using Hybrid Neural Networks Identified 
by Sensitivity Approach
     * Incorporating Prior Knowledge in Cubic Spline Approximation - 
Application to the Identification of Reaction Kinetic Models
     * Identification and Control of Nonlinear Systems Using Fuzzy 
Hammerstein Models - A Simple Fuzzy Classifier based on


manuscripts in PDF about

- fuzzy model based process control and monitoring
- fuzzy clustering and classification
- incorporation of a priori knowledge in the identification of fuzzy systems
- block-oriented modelling of dynamical systems
- fuzzy clustering and its applications to chemometrics
- generic model control (GMC) based on hybrid models.

The related transparencies of the conference presentations and
MATLAB program codes and data are also available.


Supporting MATLAB and Simulink files of the book:

Fuzzy Model Identification for Control János Abonyi, University of
Veszprém, Hungary January  2003 / 288 pp. / 132 ill. / Hardcover
ISBN 0-8176-4238-2, Price: $74.95

are also available. This book presents new approaches to the
construction of fuzzy models for model-based control. New model
structures and identification algorithms are described for the
effective use of heterogeneous information in the form of numerical
data, qualitative knowledge, and first principle models. The main
methods and techniques are illustrated through several simulated
examples and real-world applications from chemical and process
engineering practice.


Your comments and suggestions are truly welcome.

Yours sincerely,

Janos Abonyi, Ph.D

http://www.fmt.vein.hu/softcomp/



Janos Abonyi, Ph.D

Department of Process Engineering
University of Veszprem
P.O.Box 158 H-8200, Veszprem, Hungary
Tel: +36-88-422-022/4209
Fax: +36-88-421-709
www.fmt.vein.hu/softcomp

You can order our new book
(Fuzzy Model Identification for Control)
from Birkhauser Boston (Springer - NY)
http://www.springer-ny.com/detail.tpl?cart=1048164347947749&ISBN=0817642382
or from Amazon.com http://www.amazon.com/exec/obidos/ASIN/0817642382/