Constructing a Controller network

[Eric Ronco]

Dear all,

Just to let you know of the http availability of a new technical
report entitled "Two Controller Networks Automatically Constructed
Through System Linearisations and Learning" (it is a compressed
file. Please, gunzip the file to view or print it).

It is available (among others) at:

http://www.mech.gla.ac.uk/~ericr/research.html

or at

http://www.mech.gla.ac.uk/~yunli/reports.htm

This report has been written by Eric Ronco and Peter J. Gawthrop.
 
Its title is Two Controller Networks Automatically Constructed Through System Linearisations and Learning.
 
The keywords are: controller network, off-equilibrium linearisation, learning
 
Abstract:

This study aims at comparing two linear controller networks as well
as two methods to automaticly construct their architecture. The
general idea of a controller network is to use a number of linear
local controllers valid for different operating regions of a
non-linear system. The two controller networks studied here are the
""Clustered Controller Network'' (CCN) and the ""Model-Controller
Network'' (MCN). They differ by the method used for the selection of
the controllers at each instant. In the CCN, the controllers are
selected according to a spatial clustering of the operating space
whereas in the MCN the selection of the controllers depends of the
performance of the model associated to each local controller. The
two different methods to construct the architecture of these
controller networks are the ""multiple off-equilibrium system
linearisations'' and the ""learning control through incremental
network construction''. It is shown that these network construction
methods make the two controller networks general and systematic
non-linear controller design approaches. However, the selection
method applied by the MCN is preferable for control purposes since
it is directly related to the controller capability unlike the
method implemented by the CCN. In other hand, the flexibility of the
controller selection applied by the MCN makes accurate local control
learning difficult to achieve. A mixture of this two methods of
controller selection should remove these problems. 



Regards,

Eric Ronco
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|  Eric Ronco                                                               |
|  Dt of Mechanical Engineering     E.mail : ericr at mech.gla.ac.uk           |
|  James Watt Building              WWW : http://www.mech.gla.ac.uk/~ericr  |
|  Glasgow University               Tel : (44) (0)141 330 4370              |
|  Glasgow G12 8QQ                  Fax : (44) (0)141 330 4343              |
|  Scotland, UK                                                             |
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