Abstract
In this paper, we propose a method for solving the distributed optimization problem in which the objective function is the sum of separable convex functions with linear constraints. We modify the distributed Method of Multiplier algorithm based on [16] by looking it as a potential Proportional Integral (PI) controller. This enables us to obtain the algorithm in which the convergence speed is greatly improved due to different proportionality constants of PI compensator. The relation between these proportionality constants is determined by the positive real property of the algorithm when viewed as a dynamical system.
Original language | English (US) |
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Title of host publication | 2018 IEEE Conference on Decision and Control, CDC 2018 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 5445-5450 |
Number of pages | 6 |
ISBN (Electronic) | 9781538613955 |
DOIs | |
State | Published - Jul 2 2018 |
Event | 57th IEEE Conference on Decision and Control, CDC 2018 - Miami, United States Duration: Dec 17 2018 → Dec 19 2018 |
Publication series
Name | Proceedings of the IEEE Conference on Decision and Control |
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Volume | 2018-December |
ISSN (Print) | 0743-1546 |
ISSN (Electronic) | 2576-2370 |
Conference
Conference | 57th IEEE Conference on Decision and Control, CDC 2018 |
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Country/Territory | United States |
City | Miami |
Period | 12/17/18 → 12/19/18 |
Bibliographical note
Funding Information:This work was supported by NSF grants CNS-1239319 and CCF- 1320643, and AFOSR grant FA 9550-15-1-0119. This work was performed when the authors were with the Department of Electrical and Computer Engineering, Iowa State University, Ames, IA 50011, USA.
Funding Information:
*This work was supported by NSF grants CNS-1239319 and CCF-1320643, and AFOSR grant FA 9550-15-1-0119. This work was performed when the authors were with the Department of Electrical and Computer Engineering, Iowa State University, Ames, IA 50011, USA.
Publisher Copyright:
© 2018 IEEE.