HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Conference papers

Projected Alternating Direction Method of Multipliers for Hybrid Systems

Abstract : In large-scale control optimization problems, a decentralized control structure can offer great scalability and rapidity advantages over a centralized implantation. Alternating Direction Method of Multipliers (ADMM) is a decentralized optimization algorithm which has the important benefit of being quite general in its scope and applicability in continuous systems. In this paper, a new projected ADMM algorithm is defined and it can work in hybrid systems. The key point is to add a convexification and a projection process during each iteration of ADMM algorithm. We have applied it to a charging control problem of electric vehicles. Simulation results show that the proposed algorithm can converge to a similar result as a centralized control within a limited iteration time. Due to its availability, simplicity and scalability, the projected ADMM algorithm may be attractive in some practical engineering application.
Document type :
Conference papers
Complete list of metadata

Contributor : Romain Bourdais Connect in order to contact the contributor
Submitted on : Tuesday, September 19, 2017 - 9:52:42 AM
Last modification on : Wednesday, April 27, 2022 - 3:56:08 AM


  • HAL Id : hal-01589791, version 1


Chengang Feng, Romain Bourdais. Projected Alternating Direction Method of Multipliers for Hybrid Systems. IFAC World Congress, Jul 2017, Toulouse, France. pp.8753-8758. ⟨hal-01589791⟩



Record views