SICE Journal of Control, Measurement, and System Integration
Online ISSN : 1884-9970
Print ISSN : 1882-4889
ISSN-L : 1882-4889
CONTRIBUTED PAPERS
Event Triggered Distributed Optimization Based on Dual Decomposition
Taylan AYKENJun-ichi IMURA
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2015 Volume 8 Issue 3 Pages 221-227

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Abstract

As the size of systems to be controlled gets larger, distributed optimization is becoming one of the significant topics, where each local optimization problem is solved by an individual computer in parallel and in a synchronize manner to derive a global optimal solution more quickly and robustly than centralized methods. However, most distributed optimization techniques require synchronous communication, where optimization results derived by individual computers are shared at the end of each iteration. This paper proposes a distributed optimization algorithm with event triggered communication where the iterations are synchronized but the communication does not happen in every iteration. Then both synchronous and event triggered algorithms are compared through numerical simulation to show that communication costs drop significantly.

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© 2015 The Society of Instrument and Control Engineers
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