Results 31 to 40 of about 18,078 (267)
A generalized white noise space approach to stochastic integration for a class of Gaussian stationary increment processes [PDF]
Opuscula Mathematica, 2013 Given a Gaussian stationary increment processes, we show that a Skorokhod-Hitsuda stochastic integral with respect to this process, which obeys the Wick-Itô calculus rules, can be naturally defined using ideas taken from Hida's white noise space theory ...
Daniel Alpay, Alon Kipnis
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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
Equilibration of multitime quantum processes in finite time intervals
SciPost Physics Core, 2023 A generic non-integrable (unitary) out-of-equilibrium quantum process, when interrogated across many times, is shown to yield the same statistics as an (non-unitary) equilibrated process. In particular, using the tools of quantum stochastic processes, we
Neil Dowling, Pedro Figueroa-Romero, Felix A. Pollock, Philipp Strasberg, Kavan Modi
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Time to reach the maximum for a stationary stochastic process
Physical Review E, 2022 57 pages, 19 figures.
Mori, Francesco +2 more
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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
Efficient Time-Domain Dimension Reduction Methods for Simulating Stationary Stochastic Processes
MathematicsThe high-dimensional stochastic space caused by a large number of random variables remains a significant challenge hindering the practical application of stochastic process simulation in engineering.
Guoyu Liu +3 more
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ON THE STOCHASTIC DYNAMIC PROGRAMMING FOR AN INDEPENDENT, STATIONARY STOCHASTIC PROCESS [PDF]
Bulletin of Mathematical Statistics, 1964 § 1. The Conception of the Stochastic Dynamic Programming. In his recent study on the dynamic programming, Bellman [4] (p. 81) expresses the essence of the dynamic programming by the following five conditions, considering a system. a. In each case we have a (physical) system characterized at any stage by a small set of parameters, the state variables ...
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Information Transmission Strategies for Self‐Organized Robotic Aggregation
Advanced Robotics Research, EarlyView.In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng +5 more
wiley +1 more source
A group action on increasing sequences of set-indexed Brownian motions
Modern Stochastics: Theory and Applications, 2015 We prove that a square-integrable set-indexed stochastic process is a set-indexed Brownian motion if and only if its projection on all the strictly increasing continuous sequences are one-parameter G-time-changed Brownian motions.
Arthur Yosef
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Advanced Robotics Research, EarlyView.Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek +3 more
wiley +1 more source