Recent Advancements in Morphing Applications: Architecture, Artificial Intelligence Integration, Challenges, and Future Trends- A Comprehensive Survey
Aerospace Science and Technology,
Год журнала:
2025,
Номер
161, С. 110102 - 110102
Опубликована: Фев. 26, 2025
Язык: Английский
A definition and taxonomy of digital twins: case studies with machine learning and scientific applications
Frontiers in High Performance Computing,
Год журнала:
2025,
Номер
3
Опубликована: Март 13, 2025
As
next-generation
scientific
instruments
and
simulations
generate
ever
larger
datasets,
there
is
a
growing
need
for
high-performance
computing
(HPC)
techniques
that
can
provide
timely
accurate
analysis.
With
artificial
intelligence
(AI)
hardware
breakthroughs
at
the
forefront
in
recent
years,
interest
using
this
technology
to
perform
decision-making
tasks
with
continuously
evolving
real-world
datasets
has
increased.
Digital
twinning
one
method
which
virtual
replicas
of
objects
are
modeled,
updated,
interpreted
such
tasks.
However,
interface
between
AI
techniques,
digital
twins
(DT),
HPC
technologies
yet
be
thoroughly
investigated
despite
natural
synergies
them.
This
paper
explores
twins,
computing,
machine
learning
(ML)
by
presenting
consistent
definition
twin,
performing
systematic
analysis
literature
build
taxonomy
ML-enhanced
discussing
case
studies
from
various
domains.
We
identify
several
promising
future
research
directions,
including
hybrid
assimilation
frameworks
physics-informed
improved
accuracy.
Through
comprehensive
analysis,
we
aim
highlight
both
current
state-of-the-art
critical
paths
forward
rapidly
field.
Язык: Английский
PSO-Based PID Tuning for PMSM-Quadrotor UAV System
Опубликована: Март 7, 2025
Язык: Английский
Toward an Intelligent Diagnosis and Prognostic Health Management System for Autonomous Electric Vehicle Powertrains: A Novel Distributed Intelligent Digital Twin-Based Architecture
IEEE Access,
Год журнала:
2024,
Номер
12, С. 110729 - 110761
Опубликована: Янв. 1, 2024
Язык: Английский
FlightTwin: A Generalized Digital Twin Accompanying Flight Framework for Fixed-Wing Aircraft
IEEE Access,
Год журнала:
2024,
Номер
12, С. 125194 - 125210
Опубликована: Янв. 1, 2024
Язык: Английский
Addressing Constraint Coupling and Autonomous Decision-Making Challenges: An Analysis of Large-Scale UAV Trajectory-Planning Techniques
Drones,
Год журнала:
2024,
Номер
8(10), С. 530 - 530
Опубликована: Сен. 28, 2024
With
the
increase
in
UAV
scale
and
mission
diversity,
trajectory
planning
systems
faces
more
complex
constraints,
which
are
often
conflicting
strongly
coupled,
placing
higher
demands
on
real-time
response
capabilities
of
system.
At
same
time,
conflicts
strong
coupling
pose
challenges
autonomous
decision-making
capability
system,
affecting
accuracy
efficiency
system
environments.
However,
recent
research
advances
addressing
these
issues
have
not
been
fully
summarized.
An
in-depth
exploration
constraint
handling
techniques
will
be
great
significance
to
development
large-scale
systems.
Therefore,
this
paper
aims
provide
a
comprehensive
overview
topic.
Firstly,
functions
application
scenarios
introduced
classified
detail
according
method,
realization
function
presence
or
absence
constraints.
Then,
described
detail,
focusing
priority
ranking
constraints
principles
their
fusion
transformation
methods.
importance
is
depth,
related
dynamic
adjustment
algorithms
introduced.
Finally,
future
directions
outlooked,
providing
references
for
fields
clustering
cooperative
flight.
Язык: Английский
A Digital-Model-Based Approach for Defining HIRF Immunity Design Requirements of Commercial Aircraft Engine Control Systems
Bowen Wang,
Shuyan Zhang,
Zhe Zhang
и другие.
IEEE Access,
Год журнала:
2024,
Номер
12, С. 110942 - 110954
Опубликована: Янв. 1, 2024
Commercial
aircraft
engine
control
systems
must
be
immune
to
high-intensity
radiated
field
(HIRF)
effects
operate
reliably
and
function
stably
under
electromagnetic
(EM)
disturbances.
However,
there
is
a
lack
of
effective
methods
clearly
define
the
HIRF
immunity
design
requirements
for
system
development
in
engineering
practice.
This
paper
proposes
digital-model-based
approach
commercial
systems.
The
starts
with
digitally
modeling
airborne
integrated
from
topology
models,
signal
transmission
electric
loading
cable
harness
then
sets
probes
at
measurement
points
measure
EM
responses.
model
exposed
excitations
generated
by
unit-magnitude
plane
waves,
transfer
functions
induced
responses
intensity
different
frequencies
are
obtained.
multiplied
environments
interest
obtain
excitations.
After
confirming
that
no
further
optimization
system,
proposed
defines
requirements,
which
higher
than
results
numerical
experiments
conducted
on
an
has
interface
confirm
effectiveness
capturing
responses,
defining
specifically
tailored
configurations,
avoiding
under-design
defects
caused
document-based
designs.
Язык: Английский