Results 101 to 110 of about 1,450,399 (320)

Dynamic programming principle for backward doubly stochastic recursive optimal control problem and sobolev weak solution of the stochastic Hamilton-Jacobi-Bellman equation

open access: yesFundamental Research
In this paper, we investigate a backward doubly stochastic recursive optimal control problem wherein the cost function is expressed as the solution to a backward doubly stochastic differential equation.
Yunhong Li   +3 more
doaj   +1 more source

Dual‐Inductive and Programmable Switching: A New Paradigm in Ionic Interface‐Controlled Perovskite Memory

open access: yesAdvanced Functional Materials, EarlyView.
A fully programmable, dual‐inductive switchable halide perovskite memristor is demonstrated through precise BDAI2‐mediated interface engineering. This ion‐modulating layer suppresses stochastic filamentary growth, enabling stable, non‐filamentary switching via dynamic barrier modulation.
So‐Yeon Kim, Juan Bisquert
wiley   +1 more source

Optimal Control of an Electromechanical Energy Harvester

open access: yesEntropy
Many techniques originally developed in the context of deterministic control theory have recently been applied to the quest for optimal protocols in stochastic processes.
Dario Lucente   +4 more
doaj   +1 more source

Swelling‐Induced Stress‐Assisted Transfer of Nanodiamond Arrays With a PVA Carrier Tape for Conformal Bio‐Integrated Sensing and Labelling

open access: yesAdvanced Functional Materials, EarlyView.
This work introduces a swelling‐induced, stress‐assisted water‐soluble PVA tape strategy to transfer‐print nanodiamond quantum‐sensor arrays onto soft, curved biological interfaces. The room‐temperature, water‐triggered process achieves >98% fidelity and residue‐free integration, enabling conformal quantum sensing on contact lenses, neural probes, and ...
Luyao Zhang   +9 more
wiley   +1 more source

Using a finite horizon numerical optimisation method for a periodic optimal control problem [PDF]

open access: yes
Computing a numerical solution to a periodic optimal control problem is difficult. A method of approximating a solution to a given (stochastic) optimal control problem using Markov chains was developed in [3].
Azzato, Jeffrey D., Krawczyk, Jacek
core   +1 more source

Stochastic optimal control — A concise introduction

open access: yesMathematical Control and Related Fields, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Engineering of Glioblastoma‐Derived Biomimetic Vesicles and Their Structural and Molecular Features

open access: yesAdvanced Healthcare Materials, EarlyView.
ABSTRACT Biomimetic nanosystems and vesicles have arisen as a novel approach to design vesicular transport systems with diverse therapeutic potential. The ‘biomimetic’ strategy involves the integration of cell membrane components into lipid bilayers, conferring them with biological properties originating from the cell of origin. Until now, most studies
Noelia Hernández‐Lobato   +6 more
wiley   +1 more source

Chebyshev wavelet-based method for solving various stochastic optimal control problems and its application in finance [PDF]

open access: yesIranian Journal of Numerical Analysis and Optimization
In this paper, a computational method based on parameterizing state and control variables is presented for solving Stochastic Optimal Control (SOC) problems.
M. Yarahmadi, S. Yaghobipour
doaj   +1 more source

PolyGraph – Flexible, Biocompatible & Electrically Optimized Graphene‐Polymer Composites for Next‐Generation Neural Interfaces

open access: yesAdvanced Healthcare Materials, EarlyView.
PolyGraph, a flexible graphene‐polycaprolactone nanocomposite, unites conductivity, biocompatibility, and processability for next‐generation neural interfaces. Fabricated into microneedle arrays with ultra‐flexible backings, PolyGraph enables bidirectional neuronal recording and stimulation in brain tissue, advancing brain‐computer interface (BCI) and ...
Jack Maughan   +12 more
wiley   +1 more source

Respiratory Organ‐on‐a‐Chip for Disease Modeling: From Architecture to Functional Integration

open access: yesAdvanced Healthcare Materials, EarlyView.
Respiratory organ‐on‐a‐chip (ROC) models capture key mechanical and cellular cues of the human respiratory system, enabling quantitative dissection of disease mechanisms. This review links ROC architectures to disease modeling, functional integration, and commercialization, and proposes a decision framework that aligns model complexity with mechanistic
Jinzhuo Hu   +4 more
wiley   +1 more source

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