Prediction-correction splittings for nonsmooth time-varying optimization

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We address the solution of time-varying optimization problems characterized by the sum of a time-varying strongly convex function and a time-invariant nonsmooth convex function. We design an online algorithmic framework based on prediction-correction, which employs splitting methods to solve the sampled instances of the time-varying problem. We describe the prediction-correction scheme and two splitting methods, the forward-backward and the Douglas-Rachford. Then by using a result for generalized equations, we prove convergence of the generated sequence of approximate optimizers to a neighborhood of the optimal solution trajectory. Simulation results for a leader following formation in robotics assess the performance of the proposed algorithm.

Original languageEnglish
Title of host publication2019 18th European Control Conference, ECC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1963-1968
Number of pages6
ISBN (Electronic)9783907144008
DOIs
Publication statusPublished - 1 Jun 2019
Externally publishedYes
Event18th European Control Conference, ECC 2019 - Naples, Italy
Duration: 25 Jun 201928 Jun 2019

Publication series

Name2019 18th European Control Conference, ECC 2019

Conference

Conference18th European Control Conference, ECC 2019
Country/TerritoryItaly
CityNaples
Period25/06/1928/06/19

Keywords

  • Douglas-Rachford
  • Forward-backward
  • Generalized equations
  • Prediction-correction
  • Splitting methods
  • Time-varying optimization

Fingerprint

Dive into the research topics of 'Prediction-correction splittings for nonsmooth time-varying optimization'. Together they form a unique fingerprint.

Cite this