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 language | English |
|---|---|
| Pages (from-to) | 29-43 |
| Number of pages | 15 |
| Journal | Acta Polytechnica Hungarica |
| Volume | 3 |
| Issue number | 3 |
| Publication status | Published - 2006 |
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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 journal › Article
}
TY - JOUR
T1 - Use of multi-parametric quadratic programming in fuzzy control systems
AU - Preitl, Zsuzsa
AU - Precup, Radu Emil
AU - Tar, J.
AU - Takács, Márta
PY - 2006
Y1 - 2006
N2 - 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).
AB - 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).
KW - Adaptive network-based fuzzy inference systems
KW - Model predictive control
KW - Multi-parametric quadratic programming
KW - Multi-Parametric Toolbox
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UR - http://www.scopus.com/inward/citedby.url?scp=51849121879&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:51849121879
VL - 3
SP - 29
EP - 43
JO - Acta Polytechnica Hungarica
JF - Acta Polytechnica Hungarica
SN - 1785-8860
IS - 3
ER -