### Samenvatting

A model reduction technique is presented that identifies and aggregates clusters in a large-scale network system and yields a reduced model with tractable dimension. The network clustering problem is translated to a graph reduction problem, which is formulated as a minimization of distance from lumpability. The problem is a non-convex, mixed-integer optimization problem and only depends on the graph structure of the system. We provide a heuristic algorithm to identify clusters that are not only suboptimal but are also connected, that is, each cluster forms a connected induced subgraph in the network system.

Originele taal-2 | Engels |
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Titel | 2019 IEEE 58th Conference on Decision and Control, CDC 2019 |

Uitgeverij | Institute of Electrical and Electronics Engineers |

Pagina's | 5038-5043 |

Aantal pagina's | 6 |

ISBN van elektronische versie | 9781728113982 |

DOI's | |

Status | Gepubliceerd - 12 mrt 2020 |

Evenement | 58th IEEE Conference on Decision and Control, CDC 2019 - Nice, Frankrijk Duur: 11 dec 2019 → 13 dec 2019 |

### Congres

Congres | 58th IEEE Conference on Decision and Control, CDC 2019 |
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Land | Frankrijk |

Stad | Nice |

Periode | 11/12/19 → 13/12/19 |

## Vingerafdruk Duik in de onderzoeksthema's van 'Structure-based clustering algorithm for model reduction of large-scale network systems'. Samen vormen ze een unieke vingerafdruk.

## Citeer dit

*2019 IEEE 58th Conference on Decision and Control, CDC 2019*(blz. 5038-5043). [9029349] Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/CDC40024.2019.9029349