### Abstract

Language | English |
---|---|

Title of host publication | Proceedings of the Workshop on Systems and Control Theory in honor of József Bokor on his 60th Birthday |

Editors | K.M. Hangos, L. Nádai |

Place of Publication | Budapest |

Publisher | MTA |

Pages | 15-34 |

ISBN (Print) | 978-963-279-039-8 |

State | Published - 2009 |

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### Cite this

*Proceedings of the Workshop on Systems and Control Theory in honor of József Bokor on his 60th Birthday*(pp. 15-34). Budapest: MTA.

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*Proceedings of the Workshop on Systems and Control Theory in honor of József Bokor on his 60th Birthday.*MTA, Budapest, pp. 15-34.

**Model structures for identification of linear parameter-varying (LPV) models.** / Hof, Van den, P.M.J.; Toth, R.; Heuberger, P.S.C.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic

TY - CHAP

T1 - Model structures for identification of linear parameter-varying (LPV) models

AU - Hof, Van den,P.M.J.

AU - Toth,R.

AU - Heuberger,P.S.C.

PY - 2009

Y1 - 2009

N2 - Describing nonlinear dynamic systems by linear parameter-varying models has become an attractive tool for control of complex systems with regimedependent (linear) behavior. For the identification of LPV models from experimental data a number of methods has been presented in the literature but a full picture of the underlying identification problem is still missing. In this contribution a solid system theoretic basis for the description of model structures for LPV models is presented, together with a general approach to the LPV identification problem. Use is made of a series expansion approach to LPV modeling, employing orthogonal basis function expansions.

AB - Describing nonlinear dynamic systems by linear parameter-varying models has become an attractive tool for control of complex systems with regimedependent (linear) behavior. For the identification of LPV models from experimental data a number of methods has been presented in the literature but a full picture of the underlying identification problem is still missing. In this contribution a solid system theoretic basis for the description of model structures for LPV models is presented, together with a general approach to the LPV identification problem. Use is made of a series expansion approach to LPV modeling, employing orthogonal basis function expansions.

M3 - Chapter

SN - 978-963-279-039-8

SP - 15

EP - 34

BT - Proceedings of the Workshop on Systems and Control Theory in honor of József Bokor on his 60th Birthday

PB - MTA

CY - Budapest

ER -