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Excitation and Measurement Patterns for the Identifiability of Directed Acyclic Graphs

  • Published:2022-12-06 Issue: Volume: Page:
  • ISSN:
  • Container-title:2022 IEEE 61st Conference on Decision and Control (CDC)
  • language:
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Author:

Mapurunga Eduardo1,Gevers Michel2,Bazanella Alexandre S.1

Affiliation:

1. Universidade Federal do Rio Grande do Sul,Data Driven Control Group,Department of Automation and Energy,Porto Alegre,RS,Brazil

2. UCLouvain,Institute of Information and Communication Technologies, Electronics and Applied Mathematics (ICTEAM),Louvain la Neuve,Belgium

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

IEEE

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Identifiability of Dynamic Networks: The Essential Rôle of Dources and Dinks;IEEE Transactions on Automatic Control;2024-02

2. Combinatorial Characterization for Global Identifiability of Separable Networks with Partial Excitation and Measurement;2023 62nd IEEE Conference on Decision and Control (CDC);2023-12-13

3. Nonlinear Network Identifiability: The Static Case;2023 62nd IEEE Conference on Decision and Control (CDC);2023-12-13

4. Optimal excitation and measurement pattern for cascade networks;Automatica;2023-05
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