Results 41 to 50 of about 152,215 (282)

Multi-objective optimal scheduling of charging stations based on deep reinforcement learning

open access: yesFrontiers in Energy Research, 2023
With the green-oriented transition of energy, electric vehicles (EVs) are being developed rapidly to replace fuel vehicles. In the face of large-scale EV access to the grid, real-time and effective charging management has become a key problem ...
Feifei Cui   +3 more
doaj   +1 more source

A Corrosion Maintenance Model Using Continuous State Partially Observable Markov Decision Process for Oil and Gas Pipelines

open access: yesAlgorithms, 2023
This paper proposes a continuous state partially observable Markov decision process (POMDP) model for the corrosion maintenance of oil and gas pipelines.
Ezra Wari, Weihang Zhu, Gino Lim
doaj   +1 more source

Delayed Nondeterminism in Continuous-Time Markov Decision Processes [PDF]

open access: yes, 2009
Schedulers in randomly timed games can be classified as to whether they use timing information or not. We consider continuous-time Markov decision processes (CTMDPs) and define a hierarchy of positional (P) and history-dependent (H) schedulers which induce strictly tighter bounds on quantitative properties on CTMDPs.
Neuhausser, M.   +2 more
openaire   +2 more sources

Recent Advances of Slip Sensors for Smart Robotics

open access: yesAdvanced 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

Randomized and Relaxed Strategies in Continuous-Time Markov Decision Processes [PDF]

open access: yesSIAM Journal on Control and Optimization, 2015
Summary: One of the goals of this article is to describe a wide class of control strategies, which includes the traditional relaxed strategies, as well as the so called randomized strategies which appeared earlier only in the framework of semi-Markov decision processes.
openaire   +3 more sources

The Evolution of Laser‐Induced Damage Patterns in Polymer Stabilized Liquid Crystals: Insights From Morphological Characterization and Thermo‐Driven Simulations

open access: yesAdvanced Optical Materials, EarlyView.
A dual‐domain PSLC architecture enables direct comparison of alignment‐dependent laser damage within a single device. Crack‐like and seal‐like morphologies emerge under different damage conditions, and their evolution is interpreted through quantitative image analysis and heat‐driven simulations.
Dengcheng Chen   +4 more
wiley   +1 more source

Efficient Method to Approximately Solve Retrial Systems with Impatience

open access: yesJournal of Applied Mathematics, 2012
We present a novel technique to solve multiserver retrial systems with impatience. Unfortunately these systems do not present an exact analytic solution, so it is mandatory to resort to approximate techniques.
Jose Manuel Gimenez-Guzman   +4 more
doaj   +1 more source

Justification of the architecture of an interactive information model of the process of space-mission vehicle launch preparation

open access: yesВестник Самарского университета: Аэрокосмическая техника, технологии и машиностроение, 2019
The article presents a solution of the problem of substantiating the architecture of an interactive information model for the launch preparation of an integrated launch vehicle (ILV).
A. E. Privalov, P. Yu. Bugaichenko
doaj   +1 more source

Closed-loop Bayesian Semantic Data Fusion for Collaborative Human-Autonomy Target Search

open access: yes, 2018
In search applications, autonomous unmanned vehicles must be able to efficiently reacquire and localize mobile targets that can remain out of view for long periods of time in large spaces.
Ahmed, Nisar   +6 more
core   +1 more source

The Hitchhiker's Guide to Nonlinear Filtering [PDF]

open access: yes, 2019
Nonlinear filtering is the problem of online estimation of a dynamic hidden variable from incoming data and has vast applications in different fields, ranging from engineering, machine learning, economic science and natural sciences.
Kutschireiter, Anna   +2 more
core   +2 more sources

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