Augmented gradient flows for on-line robust pole assignment via state and output feedback

Danchi Jiang, Jun Wang

Research output: Contribution to journalArticlepeer-review

30 Citations (Scopus)

Abstract

This paper is concerned with robust pole assignment in synthesis of linear control systems via state and output feedbacks. First, both the pole assignment and robustness requirements are appropriately formulated as two optimization problems. Then, gradient flow models are developed for the on-line computation of feedback gain matrices that result in robust pole assignment by solving these two optimization problems. A technique is introduced to facilitate the real-time matrix inverse involved for realizing the gradient flow models. The resulting augmented gradient flows have desired convergence properties. Simulation results are included to show the effectiveness of the proposed approach.

Original languageEnglish
Pages (from-to)279-286
Number of pages8
JournalAutomatica
Volume38
Issue number2
DOIs
Publication statusPublished - Feb 2002
Externally publishedYes

Keywords

  • Gradient flow
  • Output feedback
  • Robust pole assignment
  • State feedback

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