Results 51 to 60 of about 957 (194)

Robust Adaptive Model Predictive Control for Tracking in Interconnected Systems via Distributed Optimization

International Journal of Robust and Nonlinear Control, Volume 36, Issue 5, Page 2907-2926, 25 March 2026.
ABSTRACT This study presents a novel Distributed Robust Adaptive Model Predictive Control (DRAMPC) for tracking in multi‐agent systems. The framework is designed to work with dynamically coupled subsystems and limited communication, which is restricted to local neighborhoods.
Fabio Faliero, Elisa Capello, Andrea Iannelli   +2 more
wiley   +1 more source

Event‐Triggered Saturating Control for Synchronization of Lur'e Type Complex Dynamic Networks

International Journal of Robust and Nonlinear Control, Volume 36, Issue 4, Page 2184-2198, 10 March 2026.
ABSTRACT This article addresses the problem of synchronizing discrete‐time Lur'e type complex dynamic networks (CDNs) via dynamic event‐triggered control. In particular, it is considered that the control signal of each node is subject to input saturation. Using the Lyapunov Stability Theory, properties of slope‐restricted nonlinearities, and the linear
C. Lisbôa, J. V. Flores, L. G. Moreira, J. M. Gomes da Silva Jr.   +3 more
wiley   +1 more source

The role of Alpine botanical gardens in integrating germplasm bank collections and mission

PLANTS, PEOPLE, PLANET, Volume 8, Issue 2, Page 680-692, March 2026.
This study underscores the vital role of Alpine botanical gardens (ABGs) in safeguarding Europe's alpine biodiversity amid climate change and habitat loss. By acting as living laboratories and reservoirs of plant genetic resources, ABGs bridge ex situ and in situ conservation, supporting ecosystem resilience and informing restoration strategies.
Marco Canella, Núria Beltran‐Sanz, Andreas Gröger, Špela Pungaršek, Maxime Rome, Sara Natale, Costantino Bonomi, Helen Catherine Wiesinger, Andrea Mainetti, Andrea Scapin, Marco Valecic, Simone Sensato, Monica Sommacal, Elena Piutti, Fabrizio Bottelli, Maria Teresa Pizzato, Jasmin Senn, Anne‐Catherine Monod, Nicoletta La Rocca, Francesco Dal Grande   +19 more
wiley   +1 more source

A Re‐Examination of Foundational Elements of Cosmology

Fortschritte der Physik, Volume 74, Issue 3, March 2026.
ABSTRACT This paper undertakes a conceptual re‐examination of several foundational elements of cosmology through the lens of spacetime symmetries. A new derivation of the Friedmann–Lemaître–Robertson–Walker metric is obtained by a careful conceptual examination of rotations and translations on generic manifolds, followed by solving the rotational and ...
Lavinia Heisenberg
wiley   +1 more source

Asymptotic preserving IMEX-DG-S schemes for linear kinetic transport equations based on Schur complement [PDF]

, 2020
Zhichao Peng, Fengyan Li
openalex   +1 more source

A Hybrid Data Assimilation Approach Integrating Kalman With Deep Learning‐Based Updates for Nonlinear and Non‐Gaussian Groundwater Systems

Water Resources Research, Volume 62, Issue 3, March 2026.
Abstract In hydrological research, data assimilation (DA) is a powerful tool for integrating observational data with numerical models, significantly enhancing predictive accuracy. However, nonlinear groundwater systems often exhibit high‐dimensional and non‐Gaussian characteristics in observations, parameters, and state variables, posing substantial ...
Lei Yao, Jiangjiang Zhang, Yuxin Ye, Chenglong Cao, Jianyun Zhang, Junliang Jin   +5 more
wiley   +1 more source

Deep‐learning methods for contrast enhancement and artifact reduction in cryo‐electron tomography: a systematic analysis of the state of the art and proposed improvements

Acta Crystallographica Section D, Volume 82, Issue 3, Page 168-186, March 2026.
Cryo‐ET is a rapidly emerging technique that enables 3D visualization of complex biological structures, but present limits on signal‐to‐noise ratio and reconstruction quality pose challenges for downstream analysis. Here, we present a systematic analysis of state‐of‐the‐art deep‐learning methods for contrast enhancement and propose improvements in ...
Henry N. Jones, Aneesh Deshmukh, Kanupriya Pande   +2 more
wiley   +1 more source

On inertia and schur complement in optimization

Linear Algebra and its Applications, 1987
Partitioned symmetric matrices, in particular the Hessian of the Lagrangian, play a fundamental role in nonlinear optimization. For this type of matrices \textit{S.-P. Han} and \textit{O. Fujiwara} [ibid. 72, 47-58 (1985; Zbl 0582.15002)] recently presented an inertia theorem under a certain regularity assumption.
Jongen, H.Th., Möbert, T., Rückmann, J., Tammer, K.   +3 more
openaire   +2 more sources

Scattering theory for difference equations with operator coefficients

Journal of the London Mathematical Society, Volume 113, Issue 3, March 2026.
Abstract We investigate a class of second‐order difference equations featuring operator‐valued coefficients with the aim of approaching problems of stationary scattering theory. We focus on various compact perturbations of the discrete Laplacian given in a Hilbert space of bi‐infinite square‐summable sequences with entries from a fixed Hilbert space ...
David Sher, Luis Silva, Boris Vertman, Monika Winklmeier   +3 more
wiley   +1 more source

Pseudo Numerical Ranges and Spectral Enclosures. [PDF]

Complex Anal Oper Theory, 2022
Gerhat B, Tretter C.
europepmc   +1 more source