[Univ of Cambridge] [Dept of Engineering]

CUEDSID: Cambridge University System Identification Toolbox

Algorithms for identification of linear and bilinear dynamic systems using balanced parametrizations or subspace methods.
Software:

 CUEDSID Toolbox (141 kbytes)  for use with MATLAB 6.0, MATLAB System Identification Toolbox 5.0, and

MATLAB Control System Toolbox 5.0.
This file has been compressed with the "zip" utility under Linux.
 
 CUEDSID Toolbox User's Guide (PDF file, 272 kbytes)

Publications:

    Subspace methods for bilinear systems:

H. Chen and J.M. Maciejowski, A new subspace identification method for bilinear systems,
    Technical Report CUED/INFENG-TR357, Cambridge University Engineering Dept, May 2000.
     PDF file (208 kbytes) . Not all the algorithms in the software are described in this original version.

    A more recent version of this report, being revised for publication in Automatica, is available  here (285 kbytes)

H. Chen and J.M. Maciejowski,  Subspace identification of  deterministic bilinear systems, Proc. American Control Conf.
    Chicago, June 2000.  PDF file (119 kbytes)

H. Chen and J.M. Maciejowski,  Subspace identification of combined deterministic-stochastic bilinear systems,
    Proc. IFAC Symposium on System Identification SYSID 2000, Santa Barbara, June 2000.  PDF file (116 kbytes)

H. Chen and J.M. Maciejowski, An improved subspace identification method for bilinear systems, Proc. IEEE Conf.
    on Decision and Control (CDC), Sydney, December 2000.  PDF file (133 kbytes)

H. Chen, J.M. Maciejowski and C.S. Cox,  Unbiased bilinear subspace system identification methods,
    Proc. European Control Conference, Porto, September 2001.  PDF file (91 kbytes)

    Balanced parametrizations for linear systems:

C.T. Chou and J.M. Maciejowski, System identification using balanced parametrizations, IEEE Trans. Automatic
    Control, vol.42, no.7, 956-974, July 1997.

    Subspace methods for linear systems:

N.L.C. Chui and J.M. Maciejowski, Subspace identification - a Markov parameter approach, Technical Report
    CUED/INFENG-TR337, Cambridge University Engineering Dept, December 1998.  PDF file (275 kbytes)

The material available from this page is the result of research supported by the
Engineering and Physical Sciences Research Council under grant GR/M08332/01:
Integration of subspace and parametric identification of linear and bilinear systems,
by the European Commission through the European Research Network on System Identification (ERNSI)
under TMR contract ERB FMRX CT98 0206, and earlier research in our Control Group.

Back to Cambridge University Control Group home page.
Back to Jan Maciejowski's home page.

Copyright © Cambridge University Engineering Department, 2002

This page last updated: 28 June 2002