Convex hull manipulation does matter in LMI based observer design, a TP model transformation based optimisation

Patrícia Gróf, Péter Baranyi, Péter Korondi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper deals with the topic of qLPV state-space model based control design in which LMIs are used to optimize the multi-objective control performance. In this paper we investigate how the convex hull of the polytopic model influences the state value estimation of the LMI based control design. We examine these influences through the control design of the two dimensional aeroelastic system's example. First we define various TP type polytopic model representations of a wing section whose vertices define different convex hulls. In the second step we investigate how these models lead to different performances of the state value estimation.

Original languageEnglish
Title of host publication12th WSEAS International Conference on Automatic Control, Modelling and Simulation, ACMOS '10
Pages397-402
Number of pages6
Publication statusPublished - Dec 1 2010
Event12th WSEAS International Conference on Automatic Control, Modelling and Simulation, ACMOS '10 - Catania, Italy
Duration: May 29 2010May 31 2010

Publication series

Name12th WSEAS International Conference on Automatic Control, Modelling and Simulation, ACMOS '10

Other

Other12th WSEAS International Conference on Automatic Control, Modelling and Simulation, ACMOS '10
CountryItaly
CityCatania
Period5/29/105/31/10

Keywords

  • Convex hull
  • LMI
  • Polytopic model
  • TP model

ASJC Scopus subject areas

  • Modelling and Simulation

Fingerprint Dive into the research topics of 'Convex hull manipulation does matter in LMI based observer design, a TP model transformation based optimisation'. Together they form a unique fingerprint.

  • Cite this

    Gróf, P., Baranyi, P., & Korondi, P. (2010). Convex hull manipulation does matter in LMI based observer design, a TP model transformation based optimisation. In 12th WSEAS International Conference on Automatic Control, Modelling and Simulation, ACMOS '10 (pp. 397-402). (12th WSEAS International Conference on Automatic Control, Modelling and Simulation, ACMOS '10).