Home /Research /Unknown input observer for a robot arm using TS fuzzy descriptor models
OTHER

Unknown input observer for a robot arm using TS fuzzy descriptor models

Zoltán Nagy, Előd Páll, Zsófia Lendek

Year
2017
Citations
2

Abstract

This paper presents an unknown input observer for a two-link robot arm. To handle the inherent nonlinearities, a Takagi-Sugeno fuzzy model in descriptor form is used. The design conditions are given as linear matrix inequalities, which can be efficiently solved. The observer is tested both in simulation and on experimental, measured data.

Keywords

Observer (physics)Control theory (sociology)Fuzzy logicRobotComputer scienceFuzzy control systemRobotic armMatrix (chemical analysis)MathematicsArtificial intelligence

Related papers

Browse all OTHER papers