Polynomial representation of model uncertainty in dynamical systems
Vasile, Massimiliano; (2019) Polynomial representation of model uncertainty in dynamical systems. In: Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences. Computational Methods in Applied Sciences . Springer, Cham, Switzerland, pp. 419-432. ISBN 9783319899862 (https://doi.org/10.1007/978-3-319-89988-6_25)
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Abstract
This chapter introduces an approach to capture unmodelled components in dynamical systems through a hierarchical polynomial expansion in the state space. This approach is reminiscent of the empirical acceleration approach commonly used in precise orbit determination to account for unmodelled components in the force model.
ORCID iDs
Vasile, Massimiliano ORCID: https://orcid.org/0000-0001-8302-6465;-
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Item type: Book Section ID code: 71177 Dates: DateEvent1 August 2019Published3 July 2018Published OnlineSubjects: Technology > Motor vehicles. Aeronautics. Astronautics Department: Faculty of Humanities and Social Sciences (HaSS) > Psychological Sciences and Health Depositing user: Pure Administrator Date deposited: 23 Jan 2020 14:32 Last modified: 11 Nov 2024 15:20 URI: https://strathprints.strath.ac.uk/id/eprint/71177