Flexible-Step MPC for Switched Linear Systems With No Quadratic Common Lyapunov Function

In this paper, we develop a systematic method for constructing a generalized discrete-time control Lyapunov function for the flexible-step Model Predictive Control (MPC) scheme, recently introduced in [2], when restricted to the class of linear systems. Specifically, we show that a set of Linear Matrix Inequalities (LMIs) can be used for this purpose, demonstrating its tractability. The main consequence of this LMI formulation is that, when combined with flexible-step MPC, we can effectively stabilize switched control systems, for which no quadratic common Lyapunov function exists.

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Publication Details

Journal
IEEE Transactions on Automatic Control
Published
2025-04-21
DOI
https://doi.org/10.1109/tac.2025.3563122
Citations
1
Primary Topic
Advanced Control Systems Optimization
Type
article
Field-Weighted Citation Impact
1.21
Controls
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article

Flexible-Step MPC for Switched Linear Systems With No Quadratic Common Lyapunov Function

Bahman Gharesifard, Christian Ebenbauer, Annika Fürnsinn
1 citations
IEEE Transactions on Automatic Control
Advanced Control Systems Optimization
1.21
article

Flexible-Step MPC for Switched Linear Systems With No Quadratic Common Lyapunov Function

Bahman Gharesifard, Christian Ebenbauer, Annika Fürnsinn
article en
1 citations

Abstract

In this paper, we develop a systematic method for constructing a generalized discrete-time control Lyapunov function for the flexible-step Model Predictive Control (MPC) scheme, recently introduced in [2], when restricted to the class of linear systems. Specifically, we show that a set of Linear Matrix Inequalities (LMIs) can be used for this purpose, demonstrating its tractability. The main consequence of this LMI formulation is that, when combined with flexible-step MPC, we can effectively stabilize switched control systems, for which no quadratic common Lyapunov function exists.

IEEE Transactions on Automatic ControlVol. 70(9)
Queen's University (CA), RWTH Aachen University (DE)
Openalex Percentile: Top 22%
Advanced Control Systems Optimization
1.21
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