Browse by author
Lookup NU author(s): Oliver Schoen, Dr Sadegh SoudjaniORCiD
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
This paper addresses the problem of computing controllers that are correct by design for safety-critical systems and can provably satisfy (complex) functional requirements. We develop new methods for models of systems subject to both stochastic and parametric uncertainties. We provide for the first time novel simulation relations for enabling correct-by-design control refinement, that are founded on coupling uncertainties of stochastic systems via sub-probability measures. Such new relations are essential for constructing abstract models that are related to not only one model but to a set of parameterized models. We provide theoretical results for establishing this new class of relations and the associated closeness guarantees for both linear and nonlinear parametric systems with additive Gaussian uncertainty. The results are demonstrated on a linear model and the nonlinear model of the Van der Pol Oscillator.
Author(s): Schön O, Huijgevoort B, Haesaert S, Soudjani S
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: 61st IEEE Conference on Decision and Control
Year of Conference: 2022
Online publication date: 10/01/2023
Acceptance date: 15/07/2022
Date deposited: 18/09/2022
ISSN: 2576-2370
Publisher: IEEE
URL: https://doi.org/10.1109/CDC51059.2022.9992723
DOI: 10.1109/CDC51059.2022.9992723
Library holdings: Search Newcastle University Library for this item
ISBN: 9781665467629