Results 61 to 70 of about 758 (209)
System norm regularization methods for Koopman operator approximation
Approximating the Koopman operator from data is numerically challenging when many lifting functions are considered. Even low-dimensional systems can yield unstable or ill-conditioned results in a high-dimensional lifted space. In this paper, Extended Dynamic Mode Decomposition (DMD) and DMD with control, two methods for approximating the ...
Steven Dahdah, James R. Forbes
openaire +2 more sources
Operating Capacity, Pricing and Supply Elasticity in Container Shipping Markets
ABSTRACT We investigate the channels through which changes in operating capacity influence freight rates in the container shipping market using a novel dataset to create an operating capacity index at the shipping‐route level. Our analysis reveals that when supply elasticity is low, an increase in operating capacity tends to drive freight rates upward,
Cong Sui +3 more
wiley +1 more source
A Meta‐Analytic Review of the Within‐Person Relationship Between Affect and Job Performance
ABSTRACT In recent years, there has been a shift from a between‐person, static view of trait affect and stable performance to a within‐person, dynamic view of state affect and episodic performance. However, these dynamic relationships have yet to be summarized.
John A. Aitken +4 more
wiley +1 more source
Data-Driven Dynamic State Estimation Framework Using a Koopman Operator-Based Linear Predictor
Dynamic state estimation (DSE) is a fundamental task in many fields, including control systems, robotics, and signal processing. Traditional DSE methods, which rely on mathematical models to describe system dynamics, are often limited in their ...
Deyou Yang +4 more
doaj +1 more source
The response of graphene and MoS2 monolayers to highly‐charged impinging ions is investigated using nonequilibrium Green functions theory. Electronic correlations are found to have a significantly stronger influence on the ultrafast ion‐induced electron dynamics in MoS2 than in graphene.
Giorgio Lovato +4 more
wiley +1 more source
Functional dimensionality of Koopman eigenfunction space
This work presents the general form solution of Koopman Partial Differential Equation for an autonomous system of N ordinary differential equations. We identify a domain in RN for which any number in the complex plane is an eigenvalue of the Koopman ...
Ido Cohen +2 more
doaj +1 more source
Physics Informed Fully Embedded Koopman Operator-based Optimal Control of Two-Link Robotic System [PDF]
This paper presents a data-driven framework utilising neural networks to approximate the Koopman operator for a discrete-time representation of an electrically actuated two-link mechanical system, enabling the application of linear control techniques.
Jeppe H. Andersen +3 more
doaj +1 more source
Data assimilation with extremum Monte Carlo methods
This study presents the extremum Monte Carlo filter as a data assimilation method and, in particular, a variant of the variational approach (three‐ and four‐dimensional variational), where the state estimates are obtained by solving an optimization problem numerically over a space of prediction functions, instead of the state space itself.
Karim Moussa, Siem Jan Koopman
wiley +1 more source
ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong +13 more
wiley +1 more source
Carbazole‐based self‐assembled monolayers (SAMs) have proven effective as HTLs in perovskite solar cells (PSCs). However, the energy alignment with narrow‐bandgap lead‐tin (Pb‐Sn) perovskites is suboptimal. Here, we design four phenoxazine/phenothiazine SAMs.
Daniele T. Cuzzupè +12 more
wiley +1 more source

