Results 61 to 70 of about 12,007 (165)

Adaptive Data‐Driven Models in Port‐Hamiltonian Form for Control Design

PAMM, Volume 25, Issue 1, March 2025.
Abstract Control engineering applications usually require a model that accurately represents the dynamics of the system. In addition to classical physical modeling, powerful data‐driven approaches are gaining popularity. However, the resulting models may not be ideal for control design due to their black‐box structure, which inherently limits ...
Annika Junker, Julia Timmermann, Ansgar Trächtler   +2 more
wiley   +1 more source

Optimal control theory with arbitrary superpositions of waveforms

, 2014
Standard optimal control methods perform optimization in the time domain. However, many experimental settings demand the expression of the control signal as a superposition of given waveforms, a case that cannot easily be accommodated using time-local ...
Ankerhold, Joachim, Meister, Selina, Schmidt, Rebecca, Stockburger, Jürgen T.   +3 more
core   +1 more source

The Benefits of Hierarchical Ecosystem Models: Demonstration Using EcoState, a New State‐Space Mass‐Balance Model

Fish and Fisheries, Volume 26, Issue 2, Page 203-218, March 2025.
ABSTRACT Ecosystem models predict changes in productivity and status for multiple species, and are important for incorporating climate‐linked dynamics in ecosystem‐based fisheries management. However, fishery regulations are primarily informed by single‐species stock assessment models, which estimate unexplained variation in dynamics (e.g., recruitment,
James T. Thorson, Kasper Kristensen, Kerim Y. Aydin, Sarah K. Gaichas, David G. Kimmel, Elizabeth A. McHuron, Jens M. Nielsen, Howard Townsend, George A. Whitehouse   +8 more
wiley   +1 more source

Mean-field theory for the inverse Ising problem at low temperatures

, 2012
The large amounts of data from molecular biology and neuroscience have lead to a renewed interest in the inverse Ising problem: how to reconstruct parameters of the Ising model (couplings between spins and external fields) from a number of spin ...
Berg, Johannes, Nguyen, H. Chau
core   +1 more source

Cross‐Attractor Transforms: Improving Forecasts by Learning Optimal Maps Between Dynamical Systems and Imperfect Models

Geophysical Research Letters, Volume 52, Issue 4, 28 February 2025.
Abstract Biased, incomplete numerical models are often used for forecasting states of complex dynamical systems by mapping an estimate of a “true” initial state into model phase space, making a forecast, and then mapping back to the “true” space. While advances have been made to reduce errors associated with model initialization and model forecasts, we
N. Agarwal, D. E. Amrhein, I. Grooms
wiley   +1 more source

Monotonicity and limit results for certain symmetric matrix-valued functions with applications in singular Sturmian theory

Applied Mathematics in Science and Engineering
In this paper we study the monotonicity and limit properties at infinity of certain symmetric matrix-valued functions arising in the singular Sturmian theory of canonical linear differential systems.
Peter Šepitka, Roman Šimon Hilscher
doaj   +1 more source

On the Simulatability Condition in Key Generation Over a Non-authenticated Public Channel

, 2014
Simulatability condition is a fundamental concept in studying key generation over a non-authenticated public channel, in which Eve is active and can intercept, modify and falsify messages exchanged over the non-authenticated public channel.
Lai, Lifeng, Tu, Wenwen
core   +1 more source

Sketched and Truncated Polynomial Krylov Methods: Evaluation of Matrix Functions

Numerical Linear Algebra with Applications, Volume 32, Issue 1, February 2025.
ABSTRACT Among randomized numerical linear algebra strategies, so‐called sketching procedures are emerging as effective reduction means to accelerate the computation of Krylov subspace methods for, for example, the solution of linear systems, eigenvalue computations, and the approximation of matrix functions.
Davide Palitta, Marcel Schweitzer, Valeria Simoncini   +2 more
wiley   +1 more source

Krylov Subspace Based FISTA‐Type Methods for Linear Discrete Ill‐Posed Problems

Numerical Linear Algebra with Applications, Volume 32, Issue 1, February 2025.
ABSTRACT Several iterative soft‐thresholding algorithms, such as FISTA, have been proposed in the literature for solving regularized linear discrete inverse problems that arise in various applications in science and engineering. These algorithms are easy to implement, but their rates of convergence may be slow.
Alessandro Buccini, Fei Chen, Mirjeta Pasha, Lothar Reichel   +3 more
wiley   +1 more source

Enhanced Lung Cancer Prediction via Integrated Multi‐Space Feature Adaptation, Collaborative Alignment and Disentanglement Learning

Engineering Reports, Volume 7, Issue 1, January 2025.
The research presents an enhanced lung cancer prediction model integrating AMSF‐L1ELM with Primitive Generation with Collaborative Relationship Alignment and Feature Disentanglement Learning. The model improves test accuracy, precision, recall, F1‐score, and ROC‐AUC across multiple domains in complex medical imaging data.
Abigail Kawama, Ronald Waweru Mwangi, Lawrence Nderu   +2 more
wiley   +1 more source