Results 151 to 160 of about 271,753 (311)
On stochastic balancing related model reduction
, 2000 We propose a general method based on the balanced stochastic truncation (BST) approach for the model reduction of stable linear systems. The new method relies on a recent general inner-outer factorization result and extends the applicability of the BST ...
A. Varga, Varga, Andras
core
Stochastic Augmented Lagrangian Method in Riemannian Shape Manifolds
In this paper, we present a stochastic Augmented Lagrangian approach on (possibly infinite-dimensional) Riemannian manifolds to solve stochastic optimization problems with a finite number of deterministic constraints.
Geiersbach, Caroline +2 more
core +1 more source
Advanced Design for Weakly Coupled Resonators by Automatic Active Optimization
Advanced Materials Technologies, EarlyView.An Automatic Active Optimization (AAO) strategy integrates machine learning predictors and genetic algorithms in a closed‐loop workflow. By iteratively expanding its dataset with new discoveries, AAO overcomes the limits of conventional methods. This approach finds superior microstructural designs beyond the initial sample space. We demonstrate this on
Wei Yue +8 more
wiley +1 more source
Advanced Materials Technologies, EarlyView.ABSTRACT Real‐time insight into local chemistry is critical for reliable part quality in additive manufacturing, especially laser powder bed fusion (PBF‑LB/M), where rapid thermal cycles and localized evaporation can undermine part performance. Optical emission spectroscopy (OES) offers non‑intrusive, in situ plume monitoring, but detection geometry ...
Philipp Gabriel +4 more
wiley +1 more source
, 2006 A hierarchical closed-loop production control scheme integrating scheduling, control and performance evaluation is discussed. Firstly, the production process is divided into two main hierarchies: the lower level is the physical operation level and the ...
Shi HB(史海波), Liu C(刘昶)
core
Recent Advances of Slip Sensors for Smart Robotics
Advanced Materials Technologies, EarlyView.This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source
GillespieSSA: Implementing the Gillespie Stochastic Simulation Algorithm in R
The deterministic dynamics of populations in continuous time are traditionally described using coupled, first-order ordinary differential equations. While this approach is accurate for large systems, it is often inadequate for small systems where key ...
Mario Pineda-Krch
core
Advanced Materials Technologies, EarlyView.Liquid metal additives are processed in elastomer host resulting in highly conductive and stretchable composites. The material functions as a piezoresistive sensor with minimal drift, low stiffness, and enhanced operating range. The film can replace wires to charge a mobile phone at ∼350% strain and monitors bodily motion in real‐time via a portable ...
Patryk Wojciak +3 more
wiley +1 more source
Jixie chuandong, 2005 The bending fatigue reliability of gear teeth has been analyzed by perturbation stochastic meshless point interpolation method（PSMPIM）.In the meshless point interpolation method the problem domain is represented by properly scattered points.A technique ...
游世辉 +3 more
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