Design considerations for piecewise affine system identification of nonlinear systems

  title={Design considerations for piecewise affine system identification of nonlinear systems},
  author={Niel Canty and Tom O'Mahony},
  journal={2009 17th Mediterranean Conference on Control and Automation},
A PieceWise AutoRegressive eXogenous (PWARX) model for the AMIRA DR300 DC motor is identified using clustering techniques available in the Hybrid Identification Toolbox (HIT). The choice of design parameters like magnitude of the noise variance and size of the local dataset are discussed. These parameters influence the quality and performance of the PWARX model. The performance of the PWARX model is compared with that of a linear model. The results show superior performance of the PWARX model… CONTINUE READING
1 Citations
11 References
Similar Papers


Publications citing this paper.


Publications referenced by this paper.
Showing 1-10 of 11 references

Data-based hybrid modelling of the component placement process in pick-andplace machines

  • A. Lj. Juloski, W.P.M.H. Heemels, G. Ferrari-Trecate
  • Control Engineering Practice,
  • 2004
2 Excerpts

System Identification Toolbox for use with MATLAB

  • L. Ljung
  • The MathWorks, Inc.,
  • 2002
2 Excerpts

Nonlinear algebraic system identification via piecewise affine models in stochastic environment

  • S. Simani, C. Fantuzzi, R. Rowatti, S. Beghelli
  • Proceedings of the 38 Conference on Decision…
  • 1999
1 Excerpt

Similar Papers

Loading similar papers…