Results 61 to 70 of about 6,028,400 (221)
ABSTRACT Modern engineering systems require advanced uncertainty‐aware model updating methods that address parameter correlations beyond conventional interval analysis. This paper proposes a novel framework integrating Riemannian manifold theory with Gaussian Process Regression (GPR) for systems governed by Symmetric Positive‐Definite (SPD) matrix ...
Yanhe Tao +3 more
wiley +1 more source
Clustering subgaussian mixtures by semidefinite programming [PDF]
We introduce a model-free relax-and-round algorithm for k-means clustering based on a semidefinite relaxation due to Peng and Wei. The algorithm interprets the SDP output as a denoised version of the original data and then rounds this output to a hard ...
D. Mixon, Soledad Villar, Rachel A. Ward
semanticscholar +1 more source
Data‐Based Refinement of Parametric Uncertainty Descriptions
ABSTRACT We consider dynamical systems with a linear fractional representation involving parametric uncertainties which are either constant or varying with time. Given a finite‐horizon input‐state or input‐output trajectory of such a system, we propose a numerical scheme which iteratively improves the available knowledge about the involved constant ...
Tobias Holicki, Carsten W. Scherer
wiley +1 more source
Channel width adaptation algorithm in multi-channel vehicular networks
Aiming at the low utilization of spectrum resource in vehicular networks,an algorithm base on semidefinite programming was presented,which could be utilized to channel width adaptation of multi-channel vehicular networks.Firstly,the algorithm need to ...
PENG Xin, LI Ren-fa, LIU Liang-jiao
doaj +2 more sources
LIGHTWEIGHT DESIGN OF STRUCTURES BASED ON A SEMIDEFINITE PROGRAMMING METHOD (MT)
A semidefinite programming-based optimization method is proposed for lightweight design of boom and stay bars of container cranes. The boom and stay bars are welded together by steel plates, and in engineering practices the cross-sectional dimensions of ...
WANG XingFeng +3 more
doaj
This paper presents the computation of the non‐parametric uncertainty model for multi input multi output (MIMO) systems, which is described by normalized coprime factors (NCF) using the frequency response data of the system.
Seyed Masoud Tabibian +2 more
doaj +1 more source
Performance of a community detection algorithm based on semidefinite programming [PDF]
The problem of detecting communities in a graph is maybe one the most studied inference problems, given its simplicity and widespread diffusion among several disciplines.
Javanmard, Adel +2 more
core +2 more sources
A semidefinite programming upper bound of quantum capacity [PDF]
Recently the power of positive partial transpose preserving (PPTp) and no-signalling (NS) codes in quantum communication has been studied. We continue with this line of research and show that the NS/PPTp/NS∩PPTp codes assisted zero-error quantum capacity
Xin Wang, R. Duan
semanticscholar +1 more source
The role of identification in data‐driven policy iteration: A system theoretic study
Abstract The goal of this article is to study fundamental mechanisms behind so‐called indirect and direct data‐driven control for unknown systems. Specifically, we consider policy iteration applied to the linear quadratic regulator problem. Two iterative procedures, where data collected from the system are repeatedly used to compute new estimates of ...
Bowen Song, Andrea Iannelli
wiley +1 more source
Linear semidefinite programming problems: regularisation and strong dual formulations
Regularisation consists in reducing a given optimisation problem to an equivalent form where certain regularity conditions, which guarantee the strong duality, are fulfilled.
Olga I. Kostyukova +1 more
doaj +1 more source

