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Stability analysis of piecewise affine systems with multi-model predictive control

Petsagkourakis, P; Heath, WP; Theodoropoulos, C; (2020) Stability analysis of piecewise affine systems with multi-model predictive control. Automatica , 111 , Article 108539. 10.1016/j.automatica.2019.108539. Green open access

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Abstract

We propose an input–output stability analysis for closed-loop systems of piece-wise affine models under unstructured uncertainty and controlled by multi-model linear MPC with input constraints. Integral quadratic constraints (IQCs) are employed to assess the robustness of MPC under uncertainty. We efficiently create a model pool, by performing linearization on selected transient points. All the possible uncertainties and nonlinearities (including the controller) can be introduced in the framework, assuming that they admit the appropriate IQCs, whilst the dissipation inequality can provide sufficient conditions for stability through the incorporation of IQCs. We demonstrate the existence of static multipliers, which can reduce the conservatism of the stability analysis significantly. The proposed methodology is demonstrated through two illustrative case studies.

Type: Article
Title: Stability analysis of piecewise affine systems with multi-model predictive control
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.automatica.2019.108539
Publisher version: https://doi.org/10.1016/j.automatica.2019.108539
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.
Keywords: Unstructured uncertainty, Piecewise affine, Model predictive control, Robust stability
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering
URI: https://discovery.ucl.ac.uk/id/eprint/10111827
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