On positive filtering with ? ? Performance for compartmental networks
On positive filtering with ? ? Performance for compartmental networks
This article studies the reduced-order positive filtering problem with performance of compartmental networks via a system augmentation approach. The filtering system is represented as a system augmentation form, which facilitates the parameterisation with structural constraints. By virtue of system augmentation, a new characterisation of the stability and ? performance of the filtering system is established in terms of matrix inequalities. Based on this new characterisation, a necessary and sufficient condition for the existence of a desired filter is proposed, and an iterative algorithm is given to solve the condition. It is emphasised that the significance of the results presented in the article is not any extension of existing approaches or techniques to compartmental networks, but a new framework for filter synthesis. The effectiveness of the theoretical results is shown through some numerical examples
996-971
Shu, Zhan
ea5dc18c-d375-4db0-bbcc-dd0229f3a1cb
Lam, James
3eea3836-efda-430c-9ad4-ae4f3d4b8c4a
Li, Ping
84293437-7ab4-4c22-b68b-937bfc57ee15
2009
Shu, Zhan
ea5dc18c-d375-4db0-bbcc-dd0229f3a1cb
Lam, James
3eea3836-efda-430c-9ad4-ae4f3d4b8c4a
Li, Ping
84293437-7ab4-4c22-b68b-937bfc57ee15
Shu, Zhan, Lam, James and Li, Ping
(2009)
On positive filtering with ? ? Performance for compartmental networks.
[in special issue: Analysis and Synchronization of Complex Networks]
International Journal of Systems Science, 40 (9), .
(doi:10.1080/00207720802645279).
Abstract
This article studies the reduced-order positive filtering problem with performance of compartmental networks via a system augmentation approach. The filtering system is represented as a system augmentation form, which facilitates the parameterisation with structural constraints. By virtue of system augmentation, a new characterisation of the stability and ? performance of the filtering system is established in terms of matrix inequalities. Based on this new characterisation, a necessary and sufficient condition for the existence of a desired filter is proposed, and an iterative algorithm is given to solve the condition. It is emphasised that the significance of the results presented in the article is not any extension of existing approaches or techniques to compartmental networks, but a new framework for filter synthesis. The effectiveness of the theoretical results is shown through some numerical examples
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e-pub ahead of print date: 21 September 2009
Published date: 2009
Organisations:
Mechatronics
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Local EPrints ID: 199719
URI: http://eprints.soton.ac.uk/id/eprint/199719
ISSN: 0020-7721
PURE UUID: b66f752c-fffb-46b3-8479-39243e078267
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Date deposited: 20 Oct 2011 07:50
Last modified: 14 Mar 2024 04:16
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Author:
Zhan Shu
Author:
James Lam
Author:
Ping Li
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