Results 91 to 100 of about 221,775 (313)

Optimal Job-Switching and Portfolio Decisions with a Mandatory Retirement Date

open access: yesMathematics
We study a finite-horizon optimal job-switching and portfolio allocation problem where an agent faces a mandatory retirement date. The agent can freely switch between two jobs with differing levels of income and leisure.
Geonwoo Kim, Junkee Jeon
doaj   +1 more source

Optimal Excess-of-Loss Reinsurance for Stochastic Factor Risk Models

open access: yesRisks, 2019
We study the optimal excess-of-loss reinsurance problem when both the intensity of the claims arrival process and the claim size distribution are influenced by an exogenous stochastic factor.
Matteo Brachetta, Claudia Ceci
doaj   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

open access: yesAdvanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone   +11 more
wiley   +1 more source

Control of quantum stochastic differential equations [PDF]

open access: yes, 2005
We review the basic features of the quantum stochastic calculus. Iteration schemes for the computation of the matrix elements of solutions of unitary quantum stochastic evolutions and associated quantum flows are provided along with a basic error ...
Accardi, L   +3 more
core  

Robust sliding mode design for uncertain stochastic systems based on H∞ control method

open access: yes, 2009
The official published version can be found at the link below.In this paper, the design problem of sliding mode control (SMC) is addressed for uncertain stochastic systems modeled by Itô differential equations.
Wang, X   +5 more
core   +1 more source

Intermediate Resistive State in Wafer‐Scale Vertical MoS2 Memristors Through Lateral Silver Filament Growth for Artificial Synapse Applications

open access: yesAdvanced Functional Materials, EarlyView.
In MOCVD MoS2 memristors, a current compliance‐regulated Ag filament mechanism is revealed. The filament ruptures spontaneously during volatile switching, while subsequent growth proceeds vertically through the MoS2 layers and then laterally along the van der Waals gaps during nonvolatile switching.
Yuan Fa   +19 more
wiley   +1 more source

Model uncertainty stochastic mean-field control

open access: yes, 2019
We consider the problem of optimal control of a mean-field stochasticdifferential equation (SDE) under model uncertainty. The model uncertaintyis represented by ambiguity about the law LðXðtÞÞ of the stateX(t) at time t.
Agram, Nacira,   +2 more
core   +1 more source

Speeding up Gaussian Belief Space Planning for Underwater Robots Through a Covariance Upper Bound

open access: yesIEEE Access, 2019
Existing belief space motion planning methods are not efficient for underwater robots that are subject to spatially varying motion and sensing uncertainties arising from the non-uniform current disturbances and landmark populations, respectively.
Huan Yu   +4 more
doaj   +1 more source

Integration of Low‐Voltage Nanoscale MoS2 Memristors on CMOS Microchips

open access: yesAdvanced Functional Materials, EarlyView.
This article presents the first monolithic integration of nanoscale MoS2‐based memristors into the back‐end‐of‐line of foundry‐fabricated CMOS microchips in a one‐transistor‐one‐resistor (1T1R) architecture. The MoS2‐based 1T1R cells exhibit forming‐free, nonvolatile resistive switching with ultra‐low operating voltages, low cycle‐to‐cycle variability ...
Jimin Lee   +16 more
wiley   +1 more source

Adaptive Integral Super-Twisting Sliding Mode Control for Uncertain Stochastic Systems

open access: yes, 2019
In this paper, we consider the adaptive integral super-twisting sliding mode control problem for stochastic systems with bounded uncertainties and state-multiplicative stochastic (Brownian) noise. We first introduce an integral-type sliding surface. Then,
Moon, Jun   +3 more
core   +1 more source

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