Time-Varying Feedback Optimization for Quadratic Programs with Heterogeneous Gradient Step Sizes

Research output: Contribution to conferencePaper

Abstract

Online feedback-based optimization has become a promising framework for real-time optimization and control of complex engineering systems. This tutorial paper surveys the recent advances in the field as well as provides novel convergence results for primal-dual online algorithms with heterogeneous step sizes for different elements of the gradient. The analysis is performed for quadratic programs and the approach is illustrated on applications for adaptive step-size and model-free online algorithms, in the context of optimal control of modern power systems.
Original languageAmerican English
Number of pages9
DOIs
StatePublished - 2024
Event2023 62nd IEEE Conference on Decision and Control (CDC) - Singapore
Duration: 13 Dec 202315 Dec 2023

Conference

Conference2023 62nd IEEE Conference on Decision and Control (CDC)
CitySingapore
Period13/12/2315/12/23

NREL Publication Number

  • NREL/CP-5D00-89045

Keywords

  • gradient methods
  • optimal control
  • power system control
  • power systems
  • real-time systems
  • surveys
  • tutorials

Fingerprint

Dive into the research topics of 'Time-Varying Feedback Optimization for Quadratic Programs with Heterogeneous Gradient Step Sizes'. Together they form a unique fingerprint.

Cite this