Polynomial Optimization for Nonlinear Dynamics: Theory, Algorithms and Applications
Giovanni Fantuzzi
Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, GermanyDavid Goluskin
University of Victoria, Victoria, CanadaJean-Bernard Lasserre
LAAS - CNRS, Toulouse, France
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Abstract
This workshop focused on using computational tools of polynomial optimization to deduce information about nonlinear dynamical systems, including systems governed by ordinary or partial differential equations. This approach sits at the interface of various research areas, requiring combinations of applied nonlinear dynamics and control theory, polynomial optimization, real algebraic geometry, partial differential equations, and variational analysis. The workshop brought together researchers in these different areas to share recent advances and to build the connections required for further progress.
Cite this article
Giovanni Fantuzzi, David Goluskin, Jean-Bernard Lasserre, Polynomial Optimization for Nonlinear Dynamics: Theory, Algorithms and Applications. Oberwolfach Rep. 21 (2024), no. 3, pp. 1975–2032
DOI 10.4171/OWR/2024/35