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International Journal of Robust and Nonlinear Control
Article . 2020 . Peer-reviewed
License: CC BY
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zbMATH Open
Article . 2020
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Determining input‐to‐state and incremental input‐to‐state stability of nonpolynomial systems

Determining input-to-state and incremental input-to-state stability of nonpolynomial systems
Authors: Rick Voßwinkel; Klaus Röbenack;

Determining input‐to‐state and incremental input‐to‐state stability of nonpolynomial systems

Abstract

SummaryIn this study, we propose constructive ways to determine input‐to‐state stability (ISS) as well as incremental ISS (δISS) of nonpolynomial dynamical systems. The developed procedures are based on sums‐of‐square decomposition. This tool is only applicable to polynomial systems. Thus, a rational recast of the nonpolynomial system description is used. This recast generally leads to an increased system order and additional constraints. These constraints must be respected in the resulting formulations. The proposed approach gives a unique and constructive procedure to determine the ISS and the δISS property, which is normally nontrivial and needs a good understanding of the system's dynamics. The proposed approaches are illustrated on several examples.

Keywords

input-to-state stability, nonlinear feedback control, sum-of-squares programming, Nonlinear systems in control theory, Feedback control, Input-output approaches in control theory, Lyapunov methods

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Top 10%
Average
Top 10%
hybrid