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 in:2011 50th IEEE Conference on Decision and Control and European Control Conference pp. 3800 - 3805
Main Authors: Jing Wang, Elia, N.
Format: Conference Proceeding
Language:English
Published: IEEE 01.12.2011
Subjects:
Algorithm design and analysis
Control systems
Convergence
Convex functions
Equations
Laplace equations
Optimization
ISBN:9781612848006, 1612848001
ISSN:0191-2216
Online Access:Get full text
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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