A Two-Sided Iterative Framework for Model Reduction of Linear Systems with 
Quadratic Output

Gosea, Ion Victor; Antoulas, Athanasios C.

doi:10.1109/CDC40024.2019.9030025

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A Two-Sided Iterative Framework for Model Reduction of Linear Systems with Quadratic Output

Gosea, I. V., & Antoulas, A. C. (2019). A Two-Sided Iterative Framework for Model Reduction of Linear Systems with Quadratic Output. In 2019 IEEE 58th Conference on Decision and Control (CDC) (pp. 7812-7817). IEEE.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0006-0BB5-2 Version Permalink: https://hdl.handle.net/21.11116/0000-0007-124E-E

Genre: Conference Paper

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Creators:
Gosea, Ion Victor¹, Author
Antoulas, Athanasios C.^{1, 2}, Author

Affiliations:
1Max Planck Fellow Group for Data-Driven System Reduction and Identification, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_2453691
2Rice University, ou_persistent22

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Dates: Date issued: 2019

Publication Status: Issued

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Identifiers: DOI: 10.1109/CDC40024.2019.9030025

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Title: IEEE 58th Conference on Decision and Control (CDC)

Place of Event: Nice, France

Start-/End Date: 2019-12-11 - 2019-12-13

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Title: 2019 IEEE 58th Conference on Decision and Control (CDC)

Source Genre: Proceedings

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Publ. Info: IEEE

Pages: - Volume / Issue: - Sequence Number: 9030025 Start / End Page: 7812 - 7817 Identifier: -