On Strict Dissipativity of Systems Modeled by Convex Difference Inclusions: Theory and Application to Hybrid Electric Vehicles

Gabriele Pozzato; Matthias Müller; Simone Formentin; Sergio Savaresi

doi:10.1016/j.ifacol.2020.12.1058

On Strict Dissipativity of Systems Modeled by Convex Difference Inclusions: Theory and Application to Hybrid Electric Vehicles

Gabriele Pozzato
, Matthias Müller
, Simone Formentin
, Sergio Savaresi

Institute of Automatic Control

Politecnico di Milano

Research output: Contribution to journal › Article › Research › peer review

Abstract

In this paper, strict dissipativity conditions are derived for the optimal steady-state operation of dynamical systems described by convex difference inclusions. This result guarantees convergence to a neighborhood of the optimal steady-state for the closed-loop system resulting from the application of economic model predictive control schemes. The validity of the results is shown in a simulation environment considering the problem of the optimal power split in hybrid electric vehicles.

Original language	English
Pages (from-to)	14211-14216
Number of pages	6
Journal	IFAC-PapersOnLine
Volume	53
Issue number	2
DOIs	https://doi.org/10.1016/j.ifacol.2020.12.1058
Publication status	Published - 2020

Keywords

Dissipativity
Economic model predictive control
Hybrid electric vehicles

ASJC Scopus subject areas

Control and Systems Engineering

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10.1016/j.ifacol.2020.12.1058Licence: CC BY-NC-ND 4.0

Cite this

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title = "On Strict Dissipativity of Systems Modeled by Convex Difference Inclusions: Theory and Application to Hybrid Electric Vehicles",

abstract = "In this paper, strict dissipativity conditions are derived for the optimal steady-state operation of dynamical systems described by convex difference inclusions. This result guarantees convergence to a neighborhood of the optimal steady-state for the closed-loop system resulting from the application of economic model predictive control schemes. The validity of the results is shown in a simulation environment considering the problem of the optimal power split in hybrid electric vehicles.",

keywords = "Dissipativity, Economic model predictive control, Hybrid electric vehicles",

author = "Gabriele Pozzato and Matthias M{\"u}ller and Simone Formentin and Sergio Savaresi",

note = "Funding information: This work was partially sponsored by Steyr Motors GmbH and the Linz Center of Mechatronics (LCM).",

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AU - Pozzato, Gabriele

AU - Müller, Matthias

AU - Formentin, Simone

AU - Savaresi, Sergio

N1 - Funding information: This work was partially sponsored by Steyr Motors GmbH and the Linz Center of Mechatronics (LCM).

PY - 2020

Y1 - 2020

N2 - In this paper, strict dissipativity conditions are derived for the optimal steady-state operation of dynamical systems described by convex difference inclusions. This result guarantees convergence to a neighborhood of the optimal steady-state for the closed-loop system resulting from the application of economic model predictive control schemes. The validity of the results is shown in a simulation environment considering the problem of the optimal power split in hybrid electric vehicles.

AB - In this paper, strict dissipativity conditions are derived for the optimal steady-state operation of dynamical systems described by convex difference inclusions. This result guarantees convergence to a neighborhood of the optimal steady-state for the closed-loop system resulting from the application of economic model predictive control schemes. The validity of the results is shown in a simulation environment considering the problem of the optimal power split in hybrid electric vehicles.

KW - Dissipativity

KW - Economic model predictive control

KW - Hybrid electric vehicles

UR - https://www.scopus.com/pages/publications/85105103242

U2 - 10.1016/j.ifacol.2020.12.1058

DO - 10.1016/j.ifacol.2020.12.1058

M3 - Article

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ER -

On Strict Dissipativity of Systems Modeled by Convex Difference Inclusions: Theory and Application to Hybrid Electric Vehicles

Abstract

Keywords

ASJC Scopus subject areas

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