identification for control:
the i4c package for use with MATLAB
Develoved during my ongoing research activities in the
Identification for control
area, I collected my (Matlab-) Software in a toolbox named "i4c".
This software package provides algorithms for control oriented identification,
based on measured data. The techniques implemented in particular are non-stationary
stochastic embedding, model error modeling using prediction error methods
and set membership estimation. Analysis of the obtained model sets is the
possible using nu-gap methods. A robust controller design with respect
to parametric and/or dynamical errors is implemented as well. Most of these
methods rely heavily on the usage of orthonormal basis functions, which
are described in an object oriented fashion in this package.
Do not hesitate to contact me, if you're interested in this software. Current
version is 1.1b5 from August 2001