Use of multi-parametric quadratic programming in fuzzy control systems

Zsuzsa Preitl, Radu Emil Precup, J. Tar, Márta Takács

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

The paper presents some main aspects regarding multi-parametric quadratic programming (mp-QP) problems. Model Predictive Control (MPC) is considered as a particular mp-QP problem, and this powerful tool is applied for control and simulation through a case study. Since the solutions to mp-QP problems can be expressed as piecewise affine linear functions of the state, a new implementation in terms of adaptive networkbased fuzzy inference systems is proposed. The presentation is focused on the double integrator plant as a frequently appearing case study (electrohydraulic servo-system).

Original languageEnglish
Pages (from-to)29-43
Number of pages15
JournalActa Polytechnica Hungarica
Volume3
Issue number3
Publication statusPublished - 2006

Fingerprint

Quadratic programming
Fuzzy control
Control systems
Servomechanisms
Model predictive control
Fuzzy inference

Keywords

  • Adaptive network-based fuzzy inference systems
  • Model predictive control
  • Multi-parametric quadratic programming
  • Multi-Parametric Toolbox

ASJC Scopus subject areas

  • General
  • Engineering(all)

Cite this

Use of multi-parametric quadratic programming in fuzzy control systems. / Preitl, Zsuzsa; Precup, Radu Emil; Tar, J.; Takács, Márta.

In: Acta Polytechnica Hungarica, Vol. 3, No. 3, 2006, p. 29-43.

Research output: Contribution to journalArticle

Preitl, Z, Precup, RE, Tar, J & Takács, M 2006, 'Use of multi-parametric quadratic programming in fuzzy control systems', Acta Polytechnica Hungarica, vol. 3, no. 3, pp. 29-43.
Preitl, Zsuzsa ; Precup, Radu Emil ; Tar, J. ; Takács, Márta. / Use of multi-parametric quadratic programming in fuzzy control systems. In: Acta Polytechnica Hungarica. 2006 ; Vol. 3, No. 3. pp. 29-43.
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