Model order reduction methods for geometrically nonlinear structures: a review of nonlinear techniques

C Touzé, A Vizzaccaro, O Thomas - Nonlinear Dynamics, 2021 - Springer
This paper aims at reviewing nonlinear methods for model order reduction in structures with
geometric nonlinearity, with a special emphasis on the techniques based on invariant …

Nonlinear and robust control of PDE systems: Methods and applications to transport-reaction processes

PD Christofides, J Chow - Appl. Mech. Rev., 2002 - asmedigitalcollection.asme.org
The author attempts to portray the ideas and general principles of the theory of materials
within the framework of phenomenological continuum mechanics. It is a well-written rigorous …

Data-assisted reduced-order modeling of extreme events in complex dynamical systems

ZY Wan, P Vlachas, P Koumoutsakos, T Sapsis - PloS one, 2018 - journals.plos.org
The prediction of extreme events, from avalanches and droughts to tsunamis and epidemics,
depends on the formulation and analysis of relevant, complex dynamical systems. Such …

[LIBRO][B] Practical bifurcation and stability analysis

R Seydel - 2009 - books.google.com
Fifteen years have elapsed after the second edition of Practical Bifurcation and Stability
Analysis was published. During that time period the? eld of computational bifurcation has …

[LIBRO][B] Navier-Stokes equations and turbulence

C Foias, O Manley, R Rosa, R Temam - 2001 - books.google.com
This book aims to bridge the gap between practising mathematicians and the practitioners of
turbulence theory. It presents the mathematical theory of turbulence to engineers and …

Modeling of distributed parameter systems for applications—A synthesized review from time–space separation

HX Li, C Qi - Journal of Process Control, 2010 - Elsevier
Many industrial processes belong to distributed parameter systems (DPS) that have strong
spatial–temporal dynamics. Modeling of DPS is difficult but essential to simulation, control …

[LIBRO][B] Invariant manifolds for physical and chemical kinetics

AN Gorban, IV Karlin - 2005 - Springer
Invariant Manifolds for Physical and Chemical Kinetics | SpringerLink Skip to main content
Advertisement SpringerLink Log in Menu Find a journal Publish with us Search Cart Book …

Stabilized neural ordinary differential equations for long-time forecasting of dynamical systems

AJ Linot, JW Burby, Q Tang, P Balaprakash… - Journal of …, 2023 - Elsevier
In data-driven modeling of spatiotemporal phenomena careful consideration is needed in
capturing the dynamics of the high wavenumbers. This problem becomes especially …

Finite-dimensional control of parabolic PDE systems using approximate inertial manifolds

PD Christofides, P Daoutidis - Journal of mathematical analysis and …, 1997 - Elsevier
This paper introduces a methodology for the synthesis of nonlinear finite-dimensional output
feedback controllers for systems of quasi-linear parabolic partial differential equations …

Approximate inertial manifolds for the Kuramoto-Sivashinsky equation: analysis and computations

MS Jolly, IG Kevrekidis, ES Titi - Physica D: Nonlinear Phenomena, 1990 - Elsevier
We evaluate several alternative methods for the approximation of inertial manifolds for the
one-dimensional Kuramoto-Sivashinsky equation (KSE). A method motivated by the …