Results 131 to 140 of about 894 (220)
APROXIMACIONES BASADAS EN DISTANCIAS ERGÓDICAS Y MEZCLADO CAÓTICO EN PILAS DE LIXIVIACIÓN
This study explores the application of ergodic distances and the use of chaotic mixing in heap leaching, focusing on the dynamics of strongly mixing systems where Koopman approximations may exhibit spurious eigenvalues.
Luis Rojas +3 more
doaj +1 more source
A linear test for global nonlinear controllability
It is known that if a nonlinear control affine system without drift is bracket generating, then its associated sub-Laplacian is invertible under some conditions on the domain. In this note, we investigate the converse.
Elamvazhuthi, Karthik
doaj +1 more source
A Mathematical Framework for Modeling Global Value Chain Networks
Global value chains (GVCs) have evolved into highly interconnected and geographically fragmented production networks, increasing exposure to systemic disruptions and revealing the limitations of static input–output and conventional network approaches ...
Georgios Angelidis
doaj +1 more source
Predicting the evolution of complex systems governed by partial differential equations remains challenging, especially for nonlinear, chaotic behaviors. This study introduces Koopman-inspired Fourier neural operators and convolutional neural networks to learn solution advancement operators for flame front instabilities. By transforming data into a high-
Rixin Yu +3 more
openaire +2 more sources
Application of Koopman Operator Theory to Legged Locomotion
Nonlinearities from complicated robot systems and harsh contact dynamics have long impeded the effectiveness of optimal control strategies for legged robots.
Terrones, Jasmine G.
core
Extended Kalman filter -- Koopman operator for tractable stochastic optimal control
The theory of dual control was introduced more than seven decades ago. Although it has provided rich insights to the fields of control, estimation, and system identification, dual control is generally computationally prohibitive. In recent years, however,
Ramadan, Mohammad S., Anitescu, Mihai
core
Online real-time learning of dynamical systems from noisy streaming data. [PDF]
Sinha S +2 more
europepmc +1 more source
Intermittent Two-Point Dynamics at the Transition to Chaos for Random Circle Endomorphisms. [PDF]
Goverse VPH, Homburg AJ, Lamb JSW.
europepmc +1 more source
Koopman-von Neumann and Weyl-Wigner Phase-Space Formulation of Inviscid Euler Flows. [PDF]
Molnar SM, Godfrey JR.
europepmc +1 more source
Kernel-DMD for multiome data integration and control. [PDF]
Pierides I +3 more
europepmc +1 more source

