A design method for optimal controllers of minimax problems: A genetic programming approach

Joe Imae, Satoru Nakatani, Junya Takahashi

Research output: Contribution to journalConference articlepeer-review

Abstract

Based on the genetic programming approach, a new design method is proposed for optimal controllers of minimax problems, including H control problems. The state feedback controllers and observer-based output feedback controllers are derived. First, the detailed description is given on the genetic programming, which plays a key role in constructing robust minimax controllers. Then, making use of the emergent property of the genetic programming, the new type of the design method is proposed. The demonstration of its effectiveness is done through some simple numerical examples of the H control problems. Finally, the inverted pendulum problem is tackled by applying the GP based design method.

Original languageEnglish
Pages (from-to)5394-5399
Number of pages6
JournalProceedings of the American Control Conference
Volume6
Publication statusPublished - 2003 Nov 7
Externally publishedYes
Event2003 American Control Conference - Denver, CO, United States
Duration: 2003 Jun 42003 Jun 6

Keywords

  • Genetic algorithm
  • H-infinity optimization
  • Minimax techniques

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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