iScience,
Journal Year:
2024,
Volume and Issue:
27(9), P. 110797 - 110797
Published: Aug. 26, 2024
The
energy
consumption
of
pneumatic
systems
is
occupying
an
increasingly
considerable
proportion
in
the
industrial
systems.
However,
due
to
response
characteristics
actuators,
control
system
generally
has
a
low
utilization
efficiency.
How
improve
accuracy
while
reducing
remains
key
problem
be
solved.
In
this
paper,
three-voltage
acceleration
waveform
and
its
generation
method
are
proposed,
circuit
designed.
A
multi-mode
switching
strategy
backstepping
sliding
mode
controller
(BSMC)
applied.
test
results
show
that
compared
traditional
methods,
BSMC
respectively
saves
26.27%
air
consumption,
as
well
32.35%
valve
group
power
consumption.
It
also
achieves
lowest
root-mean-square
error
(RMSE),
4.8421
kPa.
All
experiments
prove
proposed
can
effectively
efficiency
maintaining
high
tracking
precision.
Journal of Sustainability for Energy,
Journal Year:
2024,
Volume and Issue:
3(1), P. 1 - 20
Published: Feb. 4, 2024
The
integration
of
Artificial
Intelligence
(AI)
into
sustainable
energy
management
presents
a
transformative
opportunity
to
elevate
the
sustainability,
reliability,
and
efficiency
systems.
This
article
conducts
an
exhaustive
analysis
critical
aspects
concerning
AI-sustainable
nexus,
encompassing
challenges
in
technological
facilitation
intelligent
decision-making
processes
pivotal
for
frameworks.
It
is
demonstrated
that
AI
applications,
ranging
from
optimization
algorithms
predictive
analytics,
possess
revolutionary
capacity
bolster
energy.
However,
this
not
without
its
challenges,
which
span
complexities
socio-economic
impacts.
underscores
imperative
deploying
manner
transparent,
equitable,
inclusive.
Best
practices
solutions
are
proposed
navigate
these
effectively.
Additionally,
discourse
extends
recent
advancements
AI,
including
edge
computing,
quantum
explainable
offering
insights
evolving
landscape
Future
research
directions
delineated,
emphasizing
importance
enhancing
explainability,
mitigating
bias,
advancing
privacy-preserving
techniques,
examining
ramifications,
exploring
models
human-AI
collaboration,
fortifying
security
measures,
evaluating
impact
emerging
technologies.
comprehensive
aims
inform
academics,
practitioners,
policymakers,
guiding
creation
resilient
future.
Artificial Intelligence Review,
Journal Year:
2024,
Volume and Issue:
57(6)
Published: May 9, 2024
Abstract
The
Fermatean
Fuzzy
Set
(FFS)
theory
emerges
as
a
crucial
and
prevalent
tool
in
addressing
uncertainty
across
diverse
domains.
Despite
its
recognized
utility
managing
ambiguous
information,
recent
research
lacks
comprehensive
analysis
of
key
FFS
areas,
applications,
gaps,
outcomes.
This
study,
conducted
through
the
Scientific
Procedures
Rationales
for
Systematic
Literature
Reviews
(SPAR-4-SLR)
protocol,
delves
into
an
exploration
literature,
reviewing
135
relevant
articles.
documents
are
meticulously
analyzed
based
on
their
integrated
methodologies,
Aggregation
Operators
(AOs),
linguistic
sets,
extensions.
Additionally,
thematic
analysis,
facilitated
by
Bibliometrix
tool,
is
presented
to
provide
nuanced
insights
future
directions
areas
within
literature.
study
unveils
valuable
findings,
including
integration
variables
with
interval-valued
FFS,
fostering
robust
environments
dynamic
decision-making—a
mere
glimpse
potential
research.
gaps
section
further
articulates
recommendations,
offering
structured
foundation
researchers
enhance
understanding
chart
studies
confidently.
