Results 51 to 60 of about 1,035,661 (292)

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

A Note on Perturbations of Stochastic Matrices

Journal of Algebra, 2000
Let \(A\) and \(B\) be \(n\) by \(n\) stochastic matrices, and \(A(t):=(1-t)A+tB\), where \(0\leq t\leq 1\). Thus \(A(t)\) is a stochastic matrix. The paper is on the existence and behavior of limit of \(A(t)^k\) when \(k\to\infty\). On the existence it shows that if \(P_A:=\lim_{k\to\infty}A^k\) or \(P_B:=\lim_{k\to\infty}B^k\) exists then so does ...
Huppert, B., Willems, W.
openaire   +1 more source

Spectra universally realizable by doubly stochastic matrices

Special Matrices, 2018
A list of complex numbers Λ = { λ1, . . . , λn} is said to be realizable if it is the spectrum of an entrywise nonnegative matrix, and universally realizable if there exists a nonnegative matrix with spectrum Λ for each Jordan canonical form associated ...
Collao Macarena, Salas Mario, Soto Ricardo L.   +2 more
doaj   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Hybrid Kalman Filtering Algorithm With Stochastic Nonlinearities and Multiple Missing Measurements

IEEE Access, 2019
In this paper, the hybrid Kalman filter is designed for a class of special nonlinear systems where the state equation is nonlinear and the measurement equation is linear.
Kemao Ma, Long Xu, Hongxia Fan
doaj   +1 more source

Optimal Linear Filtering for Networked Control Systems With Random Matrices, Correlated Noises, and Packet Dropouts

IEEE Access, 2020
In this paper, the optimal linear filtering problem for linear discrete-time stochastic systems with random matrices, correlated noises and packet dropouts is studied where the random matrices are real and appear both in the the state and measurement ...
Wei Liu, Xiangpeng Xie, Wei Qian, Xiaozhuo Xu, Yan Shi   +4 more
doaj   +1 more source

Inverse Identification of Energy‐Dependent Laser Absorptivity in NiTi Laser Powder‐Bed Fusion via Calibrated Melt Pool Simulation

Advanced Engineering Materials, EarlyView.
A combined experimental–computational framework identifies energy‐dependent laser absorptivity for NiTi in laser powder‐bed fusion, applicable to conduction and transition modes. Single‐track experiments and thermofluid smoothed particle hydrodynamics simulations are coupled through inverse analysis of melt pool geometry.
Mohamadreza Afrasiabi, Hadi Moutablaleh, Ignatius A. Setiawan, Mehrshad Mehrpouya   +3 more
wiley   +1 more source

Frobenius normal forms of doubly stochastic matrices

Special Matrices, 2019
An elementary proof of a fundamental result on doubly stochastic matrices in Frobenius normal form is given. This result is used to establish several well-known results concerning permutations, including a theorem due to Ruffini.
Paparella Pietro
doaj   +1 more source

DigiChrom: A Domain Ontology for Semantic Representation of Trivalent Chromium Platings and Its Large Language Model‐Based Alignment With Multiple Mid‐Level Ontologies

Advanced Engineering Materials, EarlyView.
Digitalizing electroplating requires both domain knowledge and interoperability. This work introduces PlatOn, a domain ontology for trivalent chromium plating and coating characterization, and a hybrid pipeline that aligns it to a mid‐level reference ontology by combining eight similarity metrics with language model reasoning. Expert‐validated mappings
Janik Harter, Elena Garcia Trelles, Christoph Schweizer, Thomas Seifert, Christoph Baumer, Mahmoud Elkady, Katja Feige, Daniel Grimme, Edgar Hoffmann, Andreas Waibel, Anke Walter   +10 more
wiley   +1 more source

Distance function for stochastic matrices

Physical Review E
The ability to quantify the similarity of stochastic processes is important in a wide range of areas including communications, simulation, and operational research. Such processes are commonly modeled as Markov Chains and so a natural way to compare their similarity is to compute distances between pairs of Markov Chains.
Antony R. Lee, Peter Tiňo, Iain B. Styles   +2 more
openaire   +2 more sources