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Automatic Control and Computer Sciences
Erschienen in: Automatic Control and Computer Sciences 5/2018

01.09.2018

Interpolation Model Predictive Control of Nonlinear Systems Described by Quasi-LPV Model

verfasst von: Meng Zhao, Canchen Jiang, Xiaoming Tang, Minghong She

Erschienen in: Automatic Control and Computer Sciences | Ausgabe 5/2018

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Abstract

This paper investigates the interpolation model predictive control (MPC) algorithm for nonlinear discrete-time systems, which can be represented by affine linear parameter varying (LPV) model. The general nonlinear model is transformed into the quasi-LPV model, then the equivalent polytopic LPV model and disturbed Linear time-invariant (LTI) model are obtained. Therefore, a finite-horizon interpolation MPC algorithm based ellipsoidal invariant set (EIS) is proposed. For comparison, the existing zero-horizon interpolation MPC algorithm, based on EIS, is also described to display the advantages of proposed algorithm. By virtue of the finite-horizon technique, the feasible region of proposed algorithm is much larger than zero-horizon interpolation MPC algorithm. An illustrative example is given to verify the effectiveness of proposed algorithms.
Vorheriger Artikel Performance Analysis of M2M Traffic in LTE Network Using Queuing Systems with Random Resource Requirements
Nächster Artikel On Reliability of Renewable Binary Elements’ System
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Metadaten
Titel
Interpolation Model Predictive Control of Nonlinear Systems Described by Quasi-LPV Model
verfasst von
Meng Zhao
Canchen Jiang
Xiaoming Tang
Minghong She
Publikationsdatum
01.09.2018
Verlag
Pleiades Publishing
Erschienen in
Automatic Control and Computer Sciences / Ausgabe 5/2018
Print ISSN: 0146-4116
Elektronische ISSN: 1558-108X
DOI
https://doi.org/10.3103/S0146411618050085

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