Model order reduction methods for geometrically nonlinear structures: a review of nonlinear techniques
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 …
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 …
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
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 …
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 …
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 …
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 …
spatial–temporal dynamics. Modeling of DPS is difficult but essential to simulation, control …
[LIBRO][B] Invariant manifolds for physical and chemical kinetics
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 …
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
In data-driven modeling of spatiotemporal phenomena careful consideration is needed in
capturing the dynamics of the high wavenumbers. This problem becomes especially …
capturing the dynamics of the high wavenumbers. This problem becomes especially …
Finite-dimensional control of parabolic PDE systems using approximate inertial manifolds
This paper introduces a methodology for the synthesis of nonlinear finite-dimensional output
feedback controllers for systems of quasi-linear parabolic partial differential equations …
feedback controllers for systems of quasi-linear parabolic partial differential equations …
Approximate inertial manifolds for the Kuramoto-Sivashinsky equation: analysis and computations
We evaluate several alternative methods for the approximation of inertial manifolds for the
one-dimensional Kuramoto-Sivashinsky equation (KSE). A method motivated by the …
one-dimensional Kuramoto-Sivashinsky equation (KSE). A method motivated by the …