Sliding control with genetic algorithm for mismatched disturbance

Jeang Lin Chang, Keh Tsong Li, Yon-Ping Chen

Research output: Contribution to journalArticle

3 Scopus citations

Abstract

This paper presents a new sliding control to deal with linear systems suffering from matched-to-part disturbance and mismatched disturbance. Only parts of the control inputs are designed using the sliding-mode theory in order to eliminate the matched-to-part disturbance. Based on an important criterion, the proposed controller employs the applicable genetic algorithm to effectively reduce the influence of mismatched disturbance during sliding motion. A numeric example is used to demonstrate the effectiveness of the developed controller.

Original languageEnglish
Pages (from-to)186-192
Number of pages7
JournalAsian Journal of Control
Volume4
Issue number2
DOIs
StatePublished - 1 Jan 2002

Keywords

  • Genetic algorithm
  • Mismatched disturbance
  • Sliding control

Fingerprint Dive into the research topics of 'Sliding control with genetic algorithm for mismatched disturbance'. Together they form a unique fingerprint.

  • Cite this