Systems with associative dynamics

Ronald Korin Pearson; Ülle Kotta; Sven Nōmm

Kybernetika (2002)

  • Volume: 38, Issue: 5, page [585]-600
  • ISSN: 0023-5954

Abstract

top
This paper introduces a class of nonlinear discrete-time dynamic models that generalize familiar linear model structures; our motivation is to explore the extent to which known results for the linear case do or do not extend to this nonlinear class. The results presented here are based on a complete characterization of the solution of the associative functional equation F [ F ( x , y ) , z ] = F [ x , F ( y , z ) ] due to J. Aczel, leading to a class of invertible binary operators that includes addition, multiplication, and infinitely many others. We present some illustrative examples of these dynamic models, give a simple explicit representation for their inverses, and present sufficient conditions for bounded-input, bounded-output stability. Finally, we propose a generalization of this model class and we demonstrate that these models have classical state-space realizations, unlike arbitrarily structured NARMA models.

How to cite

top

Pearson, Ronald Korin, Kotta, Ülle, and Nōmm, Sven. "Systems with associative dynamics." Kybernetika 38.5 (2002): [585]-600. <http://eudml.org/doc/33605>.

@article{Pearson2002,
abstract = {This paper introduces a class of nonlinear discrete-time dynamic models that generalize familiar linear model structures; our motivation is to explore the extent to which known results for the linear case do or do not extend to this nonlinear class. The results presented here are based on a complete characterization of the solution of the associative functional equation $F[F(x,y),z] = F[x,F(y,z)]$ due to J. Aczel, leading to a class of invertible binary operators that includes addition, multiplication, and infinitely many others. We present some illustrative examples of these dynamic models, give a simple explicit representation for their inverses, and present sufficient conditions for bounded-input, bounded-output stability. Finally, we propose a generalization of this model class and we demonstrate that these models have classical state-space realizations, unlike arbitrarily structured NARMA models.},
author = {Pearson, Ronald Korin, Kotta, Ülle, Nōmm, Sven},
journal = {Kybernetika},
keywords = {nonlinear discrete-time dynamic model; stability; nonlinear discrete-time dynamic model; stability},
language = {eng},
number = {5},
pages = {[585]-600},
publisher = {Institute of Information Theory and Automation AS CR},
title = {Systems with associative dynamics},
url = {http://eudml.org/doc/33605},
volume = {38},
year = {2002},
}

TY - JOUR
AU - Pearson, Ronald Korin
AU - Kotta, Ülle
AU - Nōmm, Sven
TI - Systems with associative dynamics
JO - Kybernetika
PY - 2002
PB - Institute of Information Theory and Automation AS CR
VL - 38
IS - 5
SP - [585]
EP - 600
AB - This paper introduces a class of nonlinear discrete-time dynamic models that generalize familiar linear model structures; our motivation is to explore the extent to which known results for the linear case do or do not extend to this nonlinear class. The results presented here are based on a complete characterization of the solution of the associative functional equation $F[F(x,y),z] = F[x,F(y,z)]$ due to J. Aczel, leading to a class of invertible binary operators that includes addition, multiplication, and infinitely many others. We present some illustrative examples of these dynamic models, give a simple explicit representation for their inverses, and present sufficient conditions for bounded-input, bounded-output stability. Finally, we propose a generalization of this model class and we demonstrate that these models have classical state-space realizations, unlike arbitrarily structured NARMA models.
LA - eng
KW - nonlinear discrete-time dynamic model; stability; nonlinear discrete-time dynamic model; stability
UR - http://eudml.org/doc/33605
ER -

References

top
  1. Aczel J., A Short Course on Functional Equations, Reidel, Dordrecht 1987 Zbl0607.39002MR0875412
  2. Aczel J., Dhombres J., Functional Equations in Several Variables, Cambridge University Press, Cambridge 1989 Zbl1139.39043MR1004465
  3. Brockwell P. J., Davis R. A., Time Series: Theory and Methods, Springer–Verlag, New York 1991 Zbl1169.62074MR1093459
  4. Cohen G., Gaubert, S., Quadrat J.-P., 10.1016/S1367-5788(99)90091-3, Annual Reviews in Control 23 (1999), 207–219 (1999) DOI10.1016/S1367-5788(99)90091-3
  5. Doyle F. J., Henson M. A., Nonlinear systems theory, In: Nonlinear Process Controll (M. A. Hanson and D. E. Seborg, eds.), Prentice–Hall, Englewood Cliffs, N.J. 1997, pp. 111–147 (1997) 
  6. Elaydi S. N., An Introduction to Difference Equations, Springer–Verlag, New York 1996 Zbl1071.39001MR1410259
  7. Farina L., Rinaldi S., Positive Linear Systems: Theory and Applications, Wiley, New York 2000 Zbl0988.93002MR1784150
  8. Kotta Ü., Sadegh N., Two approaches for state space realization of NARMA models: bridging the gap, In: Proc. 3rd IMACS Conference “Mathmod” (I. Troch and F. Breitenecker, eds.), Vienna 2000, pp. 415–419 Zbl1004.93008
  9. Kotta Ü., Zinober A. S. I., Nõmm S., On realizability of bilinear input-output models, In: Proc. 3rd International Conference on Control Theory and Applications “ICCTA’01”, Pretoria 2001 
  10. Kwakernaak H., Sivan R., Linear Optimal Control Systems, Wiley, New York 1972 Zbl0276.93001MR0406607
  11. Ljung L., System Identification: Theory for the User, Prentice–Hall, Englewood Cliffs, N.J. 1999 Zbl0615.93004
  12. Oppenheim A. V., Schafer R. W., Digital Signal Processing, Prentice-Hall, Englewood Cliffs, N, J. 1975 
  13. Pearson R. K., Discrete-Time Dynamic Models, Oxford Univ. Press, Oxford – New York 1999 Zbl0966.93004
  14. Pearson R. K., Pottmann M., Combining linear dynamics and static nonlinearities, In: Proc. ADCHEM 2000, Pisa 2000, pp. 485–490 
  15. Pearson R. K., Kotta Ü., Associative dynamic models, In: Proc. 1st IFAC Symposium on System Structure and Control, Prague 2001 
  16. Pitas I., Venetsanopoulos A. N., 10.1109/TASSP.1986.1164857, IEEE Trans. Acoustics Speach Signal Processing 34 (1986), 573–584 (1986) DOI10.1109/TASSP.1986.1164857
  17. Qin S. J., Badqwell T. A., An overview of nonlinear model predictive control applications, In: International Symposium on Nonlinear Model Predictive Control: Assessment and Future Directions (F. Allgöwer and A. Zheng, eds.), Ascona 1989, pp. 128–145 (1989) 
  18. Thomson D. J., 10.1002/j.1538-7305.1977.tb00591.x, Bell Syst. Tech. J. 56 (1977), 1769–1815 (1977) DOI10.1002/j.1538-7305.1977.tb00591.x
  19. Kotta Ü., Sadegh N., Two approaches for state space realization of NARMA models: bridging the gap, In: Proc. 3rd IMACS Conference “Mathmod” (I. Troch and F. Breitenecker, eds.), Vienna 2000, pp. 415–419 Zbl1004.93008
  20. Verriest E. I., Linear systems over projective fields, In: Proc. 5th IFAC Symposium on Nonlinear Control Systems “NOLCOS’01”, Saint-Petersburg 2001, pp. 207–212 
  21. Pearson R. K., Kotta Ü., Associative dynamic models, In: Proc. 1st IFAC Symposium on System Structure and Control, Prague 2001 
  22. Kotta Ü., Zinober A. S. I., Nõmm S., On realizability of bilinear input-output models, In: Proc. 3rd International Conference on Control Theory and Applications “ICCTA’01”, Pretoria 2001 

NotesEmbed ?

top

You must be logged in to post comments.

To embed these notes on your page include the following JavaScript code on your page where you want the notes to appear.

Only the controls for the widget will be shown in your chosen language. Notes will be shown in their authored language.

Tells the widget how many notes to show per page. You can cycle through additional notes using the next and previous controls.

    
                

Note: Best practice suggests putting the JavaScript code just before the closing </body> tag.