Gated Modular Neural Networks for Control Oriented Modelling

[Eric Ronco]

Dear Connectionists,

A new technical report can be found in the on-line data base
of the Systems and Control Laboratory of Sydney University.
 
Its title is: Gated Modular Neural Networks for Control Oriented
Modelling.

The (gziped) PostScript file is accessible at:

       http://www.ee.usyd.edu.au/~ericr/pub

or alternatively at

       http://merlot.ee.usyd.edu.au/tech_rep/


The authors are: Eric Ronco, Peter J. Gawthrop and David J. Hill.

The keywords are: Non-linear modelling and control; Neural Network;
Modularity; 

The abstract:

This study is an attempt to review the main ``Gated Modular Neural
Networks'' (GMNNs) which are particularly suitable for modelling
oriented toward control. A GMNN consists of a network of computing
modules and a gating system. The computing modules are the operating
part of the architecture and corresponds to linear or simple
non-linear models or controllers. The simplicity of the computing
modules is the fundamental advantage of this approach as this often
clarifies and simplifies the modelling and control design. The gating
system is used for the selection of the computing module(s) valid for
the current state of the plant. Three types of GMNN are distinguished
according to the gating strategy they implement which are respectively
based on spatial clustering, modelling performance and probable
performance of the computing modules. The modelling oriented control
properties of these approaches are assessed in terms of adaptability,
performance, control design, implementation and analysis
properties. Conclusion are drawn to highlight required future works to
generalise the applicability of these approaches.

 
The number of this technical report is: EE-98009

Bye,

Eric
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Eric Ronco, PhD                    Tel: +61 2 9351 7680
Dt of Electrical Engineering       Fax: +61 2 9351 5132
Bldg J13, Sydney University        Email: ericr\@ee.usyd.edu.au
NSW 2006, Australia                http://www.ee.usyd.edu.au/~ericr
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