Results 91 to 100 of about 906 (226)
Koopman and Transfer Operator Techniques from the Perspective of Quantum Theory
26 ...
Dimitrios Giannakis, Michael Montgomery
openaire +2 more sources
Small, EarlyView.Imidazolium‐mediated crosslinking transforms 6FDA‐durene PI from tribo‐negative to tribo‐positive by modulating the surface electronic structure and charge‐transfer behavior. DFT calculations confirm the experimentally observed polarity transition.
Sorour Faramarzi +8 more
wiley +1 more source
IET Smart Energy Systems, EarlyView.A PER‐MATD3‐based bidding model for generators in day‐ahead joint energy and reserve markets is proposed. An aggressiveness coefficient quantifies risk preference, KAN improves interpretability and simulation results demonstrate enhanced coordinated decision‐making and training stability.
Xinge Xu +5 more
wiley +1 more source
Data-Driven Identification of Gas Turbine Engine Dynamics via Koopman Operator Genetic Algorithm
IEEE AccessGas turbine engines (GTEs) are highly nonlinear control-nonaffine systems. Deriving their physics-based models can be challenging, particularly when some critical parameters can be difficult to measure or determine otherwise.
David Grasev
doaj +1 more source
Nonlinear System Identification of Tremors Dynamics: A Data-driven Approximation Using Koopman Operator Theory. [PDF]
Int IEEE EMBS Conf Neural Eng, 2023 Xue X, Iyer A, Roque D, Sharma N.
europepmc +1 more source
The Purview of the Particular: Power and Method in Foucaultian Genealogy
Constellations, EarlyView.ABSTRACT If Foucault was anything, he was a particularist. And yet, if we are to find valuable tools in his method today, they must be able to assist our framing and analysis of non‐particular issues. By what means can Foucault's methods grasp trans‐contextual problems?
Matt Kelley
wiley +1 more source
Circular Restricted Three Body Manifold Trajectories via Koopman Operator Theory [PDF]
There are a multitude of computational techniques capable of modeling the behavior of nonlinear dynamic systems over time. In the field of astrodynamics, the most frequently used tools are numerical integrators, specifically Runge-Kutta algorithms. These
Langton, Lindsey
core +1 more source
Adversarial dynamical systems characterize when data-driven learning succeeds or fails
Nature CommunicationsMany systems resist analytical modeling, making data-driven inference of dynamics important. Yet data-driven methods can fail to converge or generalize, leaving open a central question: When can system behavior be learned reliably from data, and when is ...
Matthew J. Colbrook +2 more
doaj +1 more source
Deep Bilinear Koopman Model for Real-Time Vehicle Control in Frenet Frame
IEEE AccessAccurate modeling and control of autonomous vehicles remain a fundamental challenge due to the nonlinear and coupled nature of vehicle dynamics. While Koopman operator theory offers a framework for deploying powerful linear control techniques, learning a
Mohammad Abtahi +3 more
doaj +1 more source
Blubber Thickening Driven by UCP1 Inactivation: Insights from a Cetacean‐Like Transgenic Mouse Model
Integrative Zoology, EarlyView.UCP1 inactivation of cetaceans in mice drives BAT whitening and iWAT hyperplasia, promoting fat accumulation for aquatic adaptation. Abstract Cetaceans possess thick blubber, a specialized adipose tissue essential for thermal insulation, a streamlined body form, energy storage, and buoyancy. However, the mechanisms that underpin this adaptation are not
Qian Zhang +5 more
wiley +1 more source