A control perspective for centralized and distributed convex optimization

In this paper, we want to study how natural and engineered systems could perform complex optimizations with limited computational and communication capabilities. We adopt a continuous-time dynamical system view rooted in early work on optimization and more recently in network protocol design, and me...

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Bibliographic Details
Published in2011 50th IEEE Conference on Decision and Control and European Control Conference pp. 3800 - 3805
Main Authors Jing Wang, Elia, N.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2011
Subjects
Algorithm design and analysis
Control systems
Convergence
Convex functions
Equations
Laplace equations
Optimization
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ISBN9781612848006
1612848001
ISSN0191-2216
DOI10.1109/CDC.2011.6161503

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Summary:In this paper, we want to study how natural and engineered systems could perform complex optimizations with limited computational and communication capabilities. We adopt a continuous-time dynamical system view rooted in early work on optimization and more recently in network protocol design, and merge it with the dynamic view of distributed averaging systems. We obtain a general approach, based on the control system viewpoint, that allows to analyze and design (distributed) optimization systems converging to the solution of given convex optimization problems. The control system viewpoint provides many insights and new directions of research. We apply the framework to a distributed optimal location problem and demonstrate the natural tracking and adaptation capabilities of the system to changing constraints.
ISBN:9781612848006
1612848001
ISSN:0191-2216
DOI:10.1109/CDC.2011.6161503