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Decomposition and S...
Decomposition and Simultaneous Projection Methods for Convex Feasibility Problems with Application to robustness Analysis of Interconnected Uncertain Systems
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- Khoshfetrat Pakazad, Sina (author)
- Linköpings universitet,Reglerteknik,Tekniska högskolan
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- Hansson, Anders (author)
- Linköpings universitet,Reglerteknik,Tekniska högskolan
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- Andersen, Martin S. (author)
- University of California Los Angeles, USA
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- Rantzer, Anders (author)
- Lund University, Sweden
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(creator_code:org_t)
- Linköping : Linköping University Electronic Press, 2011
- English 9 s.
- Related links:
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https://liu.diva-por... (primary) (Raw object)
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https://urn.kb.se/re...
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Abstract
Subject headings
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- In this paper a specific class of convex feasibility problems are considered and tailored algorithms to solve this class of problems are introduced. First, the Nonlinear Cimmino Algorithm is reviewed. Then motivated by the special structure of the problems at hand, a modification to this method is proposed. Next, another method for solving the dual problem of the provided problem is presented. This leads to similar update rules for the variables as in the modified Nonlinear Cimmino Algorithm. Then an application for the proposed algorithms on the robust stability analysis of large scale weakly interconnected systems is presented and the performance of the proposed methods are compared.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)
Keyword
- Convex feasibility problems
- Robust stability analysis
- Decomposition
- Simultaneous projection
- Distributed
Publication and Content Type
- vet (subject category)
- rap (subject category)
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