On the development of SCILAB compatible software for the analysis and control of repetitive processes

Łukasz H. Ładowski; Błażej Cichy; Krzysztof Gałkowski; Eric Rogers

International Journal of Applied Mathematics and Computer Science (2008)

  • Volume: 18, Issue: 3, page 377-387
  • ISSN: 1641-876X

Abstract

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In this paper further results on the development of a S CILAB compatible software package for the analysis and control of repetitive processes is described. The core of the package consists of a simulation tool which enables the user to inspect the response of a given example to an input, design a control law for stability and/or performance, and also simulate the response of a controlled process to a specified reference signal.

How to cite

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Łukasz H. Ładowski, et al. "On the development of SCILAB compatible software for the analysis and control of repetitive processes." International Journal of Applied Mathematics and Computer Science 18.3 (2008): 377-387. <http://eudml.org/doc/207893>.

@article{ŁukaszH2008,
abstract = {In this paper further results on the development of a S CILAB compatible software package for the analysis and control of repetitive processes is described. The core of the package consists of a simulation tool which enables the user to inspect the response of a given example to an input, design a control law for stability and/or performance, and also simulate the response of a controlled process to a specified reference signal.},
author = {Łukasz H. Ładowski, Błażej Cichy, Krzysztof Gałkowski, Eric Rogers},
journal = {International Journal of Applied Mathematics and Computer Science},
keywords = {repetitive processes; simulation; SCILAB; Scilab; Scilab compatible software package; analysis and control of repetitive processes; control law for stability},
language = {eng},
number = {3},
pages = {377-387},
title = {On the development of SCILAB compatible software for the analysis and control of repetitive processes},
url = {http://eudml.org/doc/207893},
volume = {18},
year = {2008},
}

TY - JOUR
AU - Łukasz H. Ładowski
AU - Błażej Cichy
AU - Krzysztof Gałkowski
AU - Eric Rogers
TI - On the development of SCILAB compatible software for the analysis and control of repetitive processes
JO - International Journal of Applied Mathematics and Computer Science
PY - 2008
VL - 18
IS - 3
SP - 377
EP - 387
AB - In this paper further results on the development of a S CILAB compatible software package for the analysis and control of repetitive processes is described. The core of the package consists of a simulation tool which enables the user to inspect the response of a given example to an input, design a control law for stability and/or performance, and also simulate the response of a controlled process to a specified reference signal.
LA - eng
KW - repetitive processes; simulation; SCILAB; Scilab; Scilab compatible software package; analysis and control of repetitive processes; control law for stability
UR - http://eudml.org/doc/207893
ER -

References

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  10. Gramacki J., Gramacki A., Gałkowski K. and Rogers E. (2005). Java based toolbox for linear repetitive processes, Proceedings of the 2nd International Conference on Informatics in Control, Automation and Robotics, ICINCO 1: 182-187, Barcelona, Spain, available at: http://www.uz.zgora.pl/~jgramack/LRP/lrp.html. Zbl0968.93514
  11. Hładowski Ł., Cichy B., Gałkowski, K., Sulikowski B. and Rogers E. (2006). Scilab compatible software for analysis and control of repetitive processes, Proceedings of the IEEE International Symposium on Computer-Aided Control Systems Design, CACSD 2006, Munich, Germany, pp. 3024-3029. 
  12. Hładowski Ł., Gałkowski K. and Rogers E. (2007). A new iterative learning control scheme for linear time-varying discrete systems, Proceedings of the 3rd IFAC Workshop PSYCO'07, Saint Petersburg, Russia, (on CD-ROM). 
  13. Melkote H., Cloke B. and Agarwal V. (2003). Modeling and compensator designs for self-servowriting in disk drives, Proceedings of the American Control Conference, Denver, CO, USA, pp. 737-742. 
  14. Nikoukhah R., Delebecque F. and Ghaoui L. E. (2008). LMITOOL: A Package for LMI Optimization in S CILAB, available at: http://www.scilab.org/doc/lmidoc/ 
  15. Nullsoft (2008). NSIS Users Manual, available at: http://nsis.sourceforge.net/Docs/ 
  16. Owens D. H., Amann N., Rogers E. and French M. (2000). Analysis of linear iterative learning control schemes - A 2D systems/repetitive processes approach, Multidimensional Systems and Signal Processing 11(1-2): 125-177. Zbl0987.93046
  17. “IGx89” Lieder, M. (2008). MD5 plugin DLL, derived from the RSA Data Security, Inc. MD5 Message-Digest Algorithm, available at: http://nsis.sourceforge.net/MD5_plugin 
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  19. Ratcliffe J. D., Hatonen J. J., Lewin P. L., Rogers E., Harte T. J. and Owens, D. H. (2005). P-type iterative learning control for systems that contain resonance, International Journal of Adaptive Control and Signal Processing 19(10): 769-796. Zbl1127.93365
  20. Ratcliffe J. D., Lewin P. L., Rogers E., Hatonen J. J. and Owens D. H. (2006). Norm-optimal iterative learning control applied to gantry robots for automation applications, IEEE Transactions on Robotics 22(6): 1303-1307. 
  21. Rogers E., Gałkowski K. and Owens D. H. (2007). Control Systems Theory and Applications for Linear Repetitive Processes, Springer, Berlin/Heidelberg. Zbl1116.93005
  22. Rogers E. and Owens D. H. (1992). Stability Analysis for Linear Repetitive Processes, Springer, New York, NY. Zbl0772.93072
  23. Scilab Group, I. M. P. C. (2008). Introduction to S CILAB, available at: http://www.scilab.org/doc/intro/intro.pdf 
  24. Sulikowski B. (2006). Computational Aspects in Analysis and Synthesis of Repetitive Processes, Ph. D. thesis, University of Zielona Góra. 

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