### Abstract

Original language | English |
---|---|

Pages (from-to) | 157-174 |

Number of pages | 18 |

Journal | Journal of the Franklin Institute: Engineering and Applied Mathmatics |

Volume | 333 |

Issue number | 2 |

DOIs | |

Publication status | Published - Mar 1996 |

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### Cite this

*Journal of the Franklin Institute: Engineering and Applied Mathmatics*,

*333*(2), 157-174. https://doi.org/10.1016/0016-0032(96)00025-7

**Inversion of Linear Time-invariant SISO Systems Modelled by Bond Graph.** / Ngwompo, Roger F; Scavarda, S; Thomasset, D.

Research output: Contribution to journal › Article

*Journal of the Franklin Institute: Engineering and Applied Mathmatics*, vol. 333, no. 2, pp. 157-174. https://doi.org/10.1016/0016-0032(96)00025-7

}

TY - JOUR

T1 - Inversion of Linear Time-invariant SISO Systems Modelled by Bond Graph

AU - Ngwompo, Roger F

AU - Scavarda, S

AU - Thomasset, D

PY - 1996/3

Y1 - 1996/3

N2 - Two different algorithms for deriving the inverse system state equations from a bond graph model are presented. The first method is based on the causal path analysis and it leads to the full-order inverse system. The second method which is procedural relies on the concept of bicausality and the state equations obtained from the resulting algorithm are those of a reduced inverse system. In both cases, some illustrative examples are given. The advantages of these methods are that they can easily be implemented in software using an algorithm of causality assignment and a procedure of causal paths analysis in a bond graph. Formal calculations of matrices are then avoided in the first case and also formal state transformations are not necessary to obtain the reduced inverse system in the second case.

AB - Two different algorithms for deriving the inverse system state equations from a bond graph model are presented. The first method is based on the causal path analysis and it leads to the full-order inverse system. The second method which is procedural relies on the concept of bicausality and the state equations obtained from the resulting algorithm are those of a reduced inverse system. In both cases, some illustrative examples are given. The advantages of these methods are that they can easily be implemented in software using an algorithm of causality assignment and a procedure of causal paths analysis in a bond graph. Formal calculations of matrices are then avoided in the first case and also formal state transformations are not necessary to obtain the reduced inverse system in the second case.

UR - http://dx.doi.org/10.1016/0016-0032(96)00025-7

U2 - 10.1016/0016-0032(96)00025-7

DO - 10.1016/0016-0032(96)00025-7

M3 - Article

VL - 333

SP - 157

EP - 174

JO - Journal of the Franklin Institute: Engineering and Applied Mathmatics

JF - Journal of the Franklin Institute: Engineering and Applied Mathmatics

SN - 0016-0032

IS - 2

ER -