A nonlinear programming approach to biaffine matrix inequality problems in multiobjective and structured controls

Joon Hwa Lee, Kwan Ho Lee, Wook Hyun Kwon

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

In this paper, a new nonlinear programming approach is suggested to solve biaffine matrix inequality (BMI) problems in multiobjective and structured controls. It is shown that these BMI problems are reduced to nonlinear minimization problems. An algorithm that is easily implemented with existing convex optimization codes is presented for the nonlinear minimization problem. The efficiency of the proposed algorithm is illustrated by numerical examples.

Original languageEnglish
Pages (from-to)271-281
Number of pages11
JournalInternational Journal of Control, Automation and Systems
Volume1
Issue number3
StatePublished - Sep 2003

Keywords

  • Biaffine matrix inequality
  • Multiobjective control
  • Nonlinear programming
  • Structured control

Fingerprint

Dive into the research topics of 'A nonlinear programming approach to biaffine matrix inequality problems in multiobjective and structured controls'. Together they form a unique fingerprint.

Cite this