Results 91 to 100 of about 1,420 (175)

Modal parameter identification from output data only

MATEC Web of Conferences, 2015
To identify the modal parameters of a vibrating system from output data only we use a state space model and usually two approaches are considered: the block Hankel matrix and its shifted version and the block observability matrix and its shifted version.
Lardiès Joseph
doaj   +1 more source

Parametric Study of Stochastic Subspace Algorithms in Modal Analysis of Moment‐Resistant Frames [PDF]

Numerical Methods in Civil Engineering
The Finite Element Model (FEM) derived from the design drawings may not precisely depict the behavior of the actual structure. This is due to various factors, such as construction variations, uncertainties in boundary conditions, discrepancies in ...
Mehran Pourgholi, Saied Mahdavi
doaj   +1 more source

Denoising of imaginary time response functions with Hankel projections

Physical Review Research
Imaginary-time response functions of finite-temperature quantum systems are often obtained with methods that exhibit stochastic or systematic errors.
Yang Yu, Alexander F. Kemper, Chao Yang, Emanuel Gull   +3 more
doaj   +1 more source

On the Frobenius Norm of Commutator of Cauchy-Hankel Matrix and Exchange Matrix

Turkish Journal of Mathematics and Computer Science
This paper gives upper and lower bounds for the Frobenius norm of the commutator of the exchange matrix and the Cauchy-Hankel matrix of the form $H_n=\left(\dfrac{2}{1+2(i+j)}\right)_{i,j=1}^n$.
Ahmet Öksüz, Süleyman Solak
openaire   +2 more sources

Short-Term Voltage Stability Prediction for Power Systems Based on a Dominant Koopman Operator-Enhanced MLE

IEEE Access
Short-term voltage stability (STVS) prediction is a critical technology for modern power systems with high penetration of renewable energy resources. To address the limitations of the traditional maximum Lyapunov exponent (MLE) in handling short-time ...
Han Gao, Deyou Yang, Yanling Lv, Lixin Wang   +3 more
doaj   +1 more source

TOEPLITZ/HANKEL MATRIX ALGEBRA IN MODEL PREDICTIVE CONTROL

Perner’s Contacts, 2008
Model-based Predictive Control (MPC) algorithms popularity grows steadily in industry and academic area as well. Control actions are computed as an optimization problem.
Daniel Honc, Libor Havlíček
doaj  

Matrix Completion-based Range-Doppler Spectrum Estimation for Random Stepped-frequency Radars

Leida xuebao
Random Stepped Frequency (RSF) radars can achieve high-range resolution with relatively low hardware complexity by synthesizing a wide bandwidth. Moreover, because of the random frequency agility of each pulse, the radars possess robust anti-interference
Xueyao HU, Can LIANG, Shanshan LU, Zaiyang WANG, Le ZHENG, Yang LI   +5 more
doaj   +1 more source

Robust recovery of complex exponential signals from random Gaussian projections via low rank Hankel matrix reconstruction. [PDF]

Appl Comput Harmon Anal, 2016
Cai JF, Qu X, Xu W, Ye GB.
europepmc   +1 more source

Assessment of reconstruction accuracy for under-sampled 31P-MRS data using compressed sensing and a low rank Hankel matrix completion approach. [PDF]

Front Endocrinol (Lausanne)
García JA, Noseworthy MD, Santos-Díaz A.   +2 more
europepmc   +1 more source

Evaluation of Dielectric Endurance of Nano-Additive Reinforced Polyester Composites via Hankel-RPCA Decomposition. [PDF]

Polymers (Basel)
Pınarbaşı M, Atalar F, Ersoy A.
europepmc   +1 more source