Nonlinear robust control estimating an unknown upper bound by a fuzzy reasoning

Kiyotaka Izumi, Keigo Watanabe, Takaaki Otsubo

Research output: Contribution to journalConference article

1 Citation (Scopus)

Abstract

A simplified adaptive nonlinear robust controller (SANROC) has been studied in the authors' research. However, the estimate of an upper bound for uncertainties is increased by using the adaptive mechanism in this method. The objective in this paper is that a fuzzy reasoning is establish to be equivalent to the adaptive mechanism of SANROC without matching conditions. The proposed method is applied to a pantagraph type manipulator. The effectiveness of the present method is illustrated by some simulations.

Original languageEnglish
Pages (from-to)298-303
Number of pages6
JournalProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Volume1
Publication statusPublished - Dec 1 1996
Externally publishedYes
EventProceedings of the 1996 IEEE International Conference on Systems, Man and Cybernetics - Beijing, China
Duration: Oct 14 1996Oct 17 1996

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Hardware and Architecture

Fingerprint Dive into the research topics of 'Nonlinear robust control estimating an unknown upper bound by a fuzzy reasoning'. Together they form a unique fingerprint.

  • Cite this