Results 51 to 60 of about 264 (161)
SUBSPACE IDENTIFICATION METHOD FOR STOCHASTIC LINEAR CONTROL SYSTEMS
Ural Mathematical JournalSubspace identification is studied for stochastic linear control systems in state-space form. PO-MOESP (Past Outputs Multivariable Output-Error State sPace) algorithm is described, implemented and compared with other subspace identification methods and ...
Nikita M. Kharkovskii +1 more
doaj +1 more source
Advanced Intelligent Discovery, EarlyView.This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath +4 more
wiley +1 more source
Revisiting Fisher's n‐D statistical vision: From algebraic abstraction to modern visualization
Canadian Journal of Statistics, EarlyView.Abstract We revisit early foundational results in mathematical statistics derived by Ronald A. Fisher. They involve sampling distributions of statistics calculated from independent and identically distributed Normal observations, namely the root mean square deviation; the mean absolute deviation, conditional on already knowing the value of the root ...
James A. Hanley
wiley +1 more source
Operational Modal Analysis Based on Subspace Algorithm with an Improved Stabilization Diagram Method
Shock and Vibration, 2016 Subspace-based algorithms for operational modal analysis have been extensively studied in the past decades. In the postprocessing of subspace-based algorithms, the stabilization diagram is often used to determine modal parameters.
Shiqiang Qin, Juntao Kang, Qiuping Wang
doaj +1 more source
Cross‐Entropy of Power Spectral Density Function: A Modal Identification Framework
Earthquake Engineering &Structural Dynamics, EarlyView.ABSTRACT The power spectral density (PSD) function of measured structural response contains a significant amount of information, including the modal parameters (natural frequencies, damping ratios). Output‐only system identification or modal identification technique can be used for extracting such modal parameters from the measured response or its ...
Su‐Hong Kim +3 more
wiley +1 more source
Controlling Collective Quasiparticle Dynamics Beyond Decoherence in Topological Interfaces
Laser &Photonics Reviews, EarlyView.Gold nanoparticles placed above a deformed honeycomb plasmonic crystal couple to a chiral topological interface mode. The pseudospin‐split bands ψ+/ ψ− encode spin‐momentum locking, so emitters radiate directionally along the domain wall and share a common phase.
Fatemeh Davoodi
wiley +1 more source
Stochastic subspace identification of modal parameters during ice–structure interaction
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2019 Identifying the modal parameters of structures located in ice-infested waters may be challenging due to the interaction between the ice and structure. In this study, both simulated data from a state-of-the-art ice–structure interaction model and measured data of ice–structure interaction were both used in conjunction with a covariance-driven stochastic
Torodd S. Nord +2 more
openaire +7 more sources
Intrinsically Design‐Rule‐Compliant Nanophotonic Inverse Design via Learned Generative Manifolds
Laser &Photonics Reviews, EarlyView.A generative reparameterization framework for nanophotonic inverse design is introduced, restricting optimization to a learned manifold of design‐rule‐compliant geometries. Unlike conventional penalty‐based approaches, fabrication constraints are encoded intrinsically within the design representation.
Bahrem Serhat Danis +8 more
wiley +1 more source
Visibility and Intersection Density for Boolean Models in Hyperbolic Space
Mathematische Nachrichten, EarlyView.ABSTRACT For Poisson particle processes in hyperbolic space we introduce and study concepts analogous to the intersection density and the mean visible volume, which were originally considered in the analysis of Boolean models in Euclidean space. In particular, we determine a necessary and sufficient condition for the finiteness of the mean visible ...
Tillmann Bühler +2 more
wiley +1 more source
A Chance‐Constrained Model for a Production Routing Problem With Uncertain Availability of Vehicles
Networks, EarlyView.ABSTRACT The Production Routing Problem (PRP) is a complex integrated problem that allows for the achievement of competitive advantages, such as better management of inventory, reduction in operational costs and lead times, improvement in efficiency and customer service, and better response to market changes.
Alline Zanette +2 more
wiley +1 more source