Results 51 to 60 of about 1,238,553 (351)
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez+2 more
wiley +1 more source
A projective synchronization scheme for a kind of n-dimensional discrete dynamical system is proposed by means of a linear feedback control technique.
Baogui Xin, Zhiheng Wu
doaj +1 more source
Coherent Dynamics of Quantum Systems with Non-Uniform Fourier Space Excited by Laser Radiation
The algorithm is presented to solve dynamical equations for excitation of molecular models with multiple energy levels. It uses only discrete structures: discrete orthogonal polynomials constructed specially in Fourier space of the probability amplitudes,
Sary Banjak , Vadim Savva
doaj +1 more source
Performance Triggered Adaptive Model Reduction for Soil Moisture Estimation in Precision Irrigation
ABSTRACT Accurate soil moisture information is essential for precise irrigation to enhance water use efficiency. Estimating soil moisture based on limited soil moisture sensors is especially critical for obtaining comprehensive soil moisture information when dealing with large‐scale agricultural fields.
Sarupa Debnath+4 more
wiley +1 more source
Topology and Homoclinic Trajectories of Discrete Dynamical Systems [PDF]
We show that nontrivial homoclinic trajectories of a family of discrete, nonautonomous, asymptotically hyperbolic systems parametrized by a circle bifurcate from a stationary solution if the asymptotic stable bundles Es(+{\infty}) and Es(-{\infty}) of ...
A. Abbondandolo+24 more
core +2 more sources
Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani+2 more
wiley +1 more source
Analyzing the dynamics of discrete deterministic systems [PDF]
This work is based on an extension of the Petri net framework. Our model relies on the definition of a priority relation between conflicting transitions, which is encoded in a compact manner by orienting the edges of a transition conflict graph. The benefit is that this allows the use of a successor function for the study of dynamic processes from a ...
Torres, Luis, M, Wagler, Annegret, K
openaire +5 more sources
Lyapunov exponent for Lipschitz maps
It is well-known that the Lyapunov exponent plays a fundamental role in dynamical systems. In this note, we propose an alternative definition of Lyapunov exponent in terms of Lipschitz maps, which are not necessarily differentiable.
La Guardia, Giuliano G.+1 more
core +1 more source
The study presents an efficient simulation approach for the polymer laser powder bed fusion process polymers process, validated with polyamide 12, polyamide 6, and polyetherketoneketone. It shows that inter layer time affects part density, with 90s yielding dense parts.
Claas Bierwisch+4 more
wiley +1 more source
STRUCTURED SPATIAL DISCRETIZATION OF DYNAMICAL SYSTEMS [PDF]
This paper deals with spatial discretization of dynamical systems, such that the resulting discretized model is structured as a set of interconnected subsystems. We start by dis- cretizing a dynamical system using an appropriate method (e.q. the finite element method) and discuss a general framework for partitioning a single discretized system into two
Bruno Dogančić+2 more
openaire +3 more sources