Skip to content

A Gradient-Based Approach for Optimal Plant Controller Co-Design

Authors: Yuh-Shyang Wang, Yebin Wang

Published: 2015 (Conference Paper)

Source: American Control Conference (ACC)

Algorithm: Gradient-Based Plant-Controller Co-Design

DOI: 10.1109/ACC.2015.7171833

Summary

Presents an iterative gradient method for jointly optimizing a linear plant and controller without requiring the plant parameters to enter affinely. The paper is useful as a control co-design reference because it frames plant structure and feedback synthesis as a coupled optimization problem with convergence and local-minimum checks.

Abstract

This paper proposes a gradient-based iterative algorithm for optimal co-design of a linear physical plant and a controller. The proposed algorithm does not rely on the common linear parameterization assumption, and thus is applicable to a broader class of problems. The convergence of the algorithm and the verification procedure for a local minimum are given. Numerical examples show that our algorithm is comparable to other complicated algorithms in terms of the performance, but can deal with a more general class of problems.

Primary

Paper doi.org

Standard

DOI 10.1109/ACC.2015.7171833

Alternate

ieeexplore.ieee.org ieeexplore.ieee.org scribd.com scribd.com

Tags

  • Plant-controller co-design

  • Control co-design

  • Gradient-based optimization

  • Optimal control

  • Linear systems

  • Nonlinear parameterization

  • Physical plant design