Electronics,
Год журнала:
2024,
Номер
13(10), С. 1990 - 1990
Опубликована: Май 20, 2024
The
scope
of
complex
dynamical
networks
(CDNs)
with
dynamic
edges
is
very
wide,
as
it
composed
a
class
realistic
including
web-winding
systems,
communication
networks,
neural
etc.
However,
classic
research
topic
in
CDNs,
the
synchronization
control
problem,
has
not
been
effectively
solved
for
CDNs
edges.
This
paper
will
investigate
emergence
mechanism
from
perspective
large-scale
systems.
Firstly,
CDN
conceptualized
an
interconnected
coupled
system
edge
subsystem
(ES)
and
node
(NS).
Then,
based
on
proposed
improved
directed
matrix
ES
model
expanded
inequality,
this
overcomes
limitations
coupling
term
design
models
strong
correlation
tracking
targets
between
nodes
Due
to
effect
synthesized
controller
auxiliary
ES,
state
can
be
realized
CDN.
Finally,
through
simulation
examples,
validity
advantages
our
work
compared
existing
methods
are
demonstrated.
Physical Review Research,
Год журнала:
2025,
Номер
7(1)
Опубликована: Фев. 7, 2025
Microorganisms
can
sense
their
environment
and
adapt
movement
accordingly,
which
gives
rise
to
a
multitude
of
collective
phenomena,
including
active
turbulence
bioconvection.
In
fluid
environments,
self-organization
is
governed
by
hydrodynamic
interactions.
By
large-scale
mesoscale
hydrodynamics
simulations,
we
study
the
motion
polar
microswimmers,
align
propulsion
direction
steering
with
that
neighbors.
The
simulations
employed
squirmer
model
reveal
distinct
dependence
on
type
microswimmer—puller
or
pusher—flow
field.
No
global
alignment
emerges
in
both
cases.
Instead,
pushers
characterized
turbulence,
nearly
homogeneous
density
Gaussian
velocity
distribution;
strong
self-steering
enhances
local
coherent
microswimmers
leads
fluid-flow
speeds
much
larger
than
individual
swim
speed.
Pullers
exhibit
tendency
for
clustering
display
vorticity
distributions
fat
exponential
tails;
dynamics
chaotic,
temporal
appearance
vortex
rings
jets.
Our
results
show
behavior
autonomously
displays
rich
variety
dynamic
self-organized
structures.
imply
guidelines
design
microrobotic
systems.
Published
American
Physical
Society
2025
Chaos An Interdisciplinary Journal of Nonlinear Science,
Год журнала:
2023,
Номер
33(6)
Опубликована: Июнь 1, 2023
Phase
transitions
widely
occur
in
natural
systems.
Incorporation
of
higher-order
interactions
coupled
dynamics
is
known
to
cause
first-order
phase
transition
synchronization
an
otherwise
smooth
second-order
the
presence
only
pairwise
interactions.
Here,
we
discover
that
adaptation
restores
former
setup
and
notably
produces
additional
bifurcation
referred
as
tiered
a
consequence
combination
super-critical
pitchfork
two
saddle
node
bifurcations.
The
Ott-Antonsen
manifold
underlines
interplay
instigating
synchronization,
well
provides
complete
description
all
(un)stable
states.
These
results
would
be
important
comprehending
real-world
systems
with
inherent
through
feedback
coupling.
Chaos An Interdisciplinary Journal of Nonlinear Science,
Год журнала:
2024,
Номер
34(2)
Опубликована: Фев. 1, 2024
Synchronization
holds
a
significant
role,
notably
within
chaotic
systems,
in
various
contexts
where
the
coordinated
behavior
of
systems
plays
pivotal
and
indispensable
role.
Hence,
many
studies
have
been
dedicated
to
investigating
underlying
mechanism
synchronization
systems.
Networks
with
time-varying
coupling,
particularly
those
blinking
proven
essential.
The
reason
is
that
such
coupling
schemes
introduce
dynamic
variations
enhance
adaptability
robustness,
making
them
applicable
real-world
scenarios.
This
paper
introduces
novel
adaptive
wherein
adapts
dynamically
based
on
most
influential
variable
exhibiting
average
disparity.
To
ensure
an
equitable
selection
effective
at
each
time
instance,
difference
normalized
synchronous
solution’s
range.
Due
this
selection,
enhancement
expected
be
observed.
hypothesis
assessed
networks
identical
encompassing
Lorenz,
Rössler,
Chen,
Hindmarsh–Rose,
forced
Duffing,
van
der
Pol
results
demonstrated
substantial
improvement
when
employing
applying
normalization
process.
It
is
beneficial
for
collective
structures
to
simultaneously
have
high
persistence
environmental
noise
and
responsivity
nontrivial
external
stimuli.
However,
without
the
ability
differentiate
useful
information
from
noise,
there
always
a
tradeoff
between
within
structures.
To
address
this,
we
propose
adaptive
time
delay
inspired
by
behavior
observed
in
school
of
fish.
This
strategy
tested
using
particles
powered
optothermal
fields
coupled
with
an
optical
feedback-control
system.
By
applying
proper
threshold,
experimentally
observe
enhanced
approximately
1.6
times
sacrificing
persistence.
Furthermore,
integrate
long-distance
transportation
obstacle-avoidance
capabilities
prototype
swarm
microrobots.
research
demonstrates
potential
persistence-responsivity
lays
foundation
intelligent
micro/nanorobots
operating
complex
environments.
PLoS Computational Biology,
Год журнала:
2024,
Номер
20(7), С. e1012261 - e1012261
Опубликована: Июль 9, 2024
Abnormally
strong
neural
synchronization
may
impair
brain
function,
as
observed
in
several
disorders.
We
computationally
study
how
neuronal
dynamics,
synaptic
weights,
and
network
structure
co-emerge,
particular,
during
(de)synchronization
processes
they
are
affected
by
external
perturbation.
To
investigate
the
impact
of
different
types
plasticity
mechanisms,
we
combine
a
excitatory
integrate-and-fire
neurons
with
weight
and/or
structural
mechanisms:
(i)
only
spike-timing-dependent
(STDP),
(ii)
homeostatic
(hSP),
i.e.,
without
weight-dependent
pruning
STDP,
(iii)
combination
STDP
hSP,
pruning,
(iv)
(SP)
that
includes
hSP
pruning.
accommodate
diverse
time
scales
firing,
SP,
introduce
simple
stochastic
SP
model,
enabling
detailed
numerical
analyses.
With
tools
from
theory,
reveal
reorganization
remarkably
enhance
network’s
level
synchrony.
When
weaker
contacts
preferentially
eliminated
synchrony
is
achieved
significantly
sparser
connections
than
randomly
structured
networks
STDP-only
model.
In
strengthening
higher
natural
firing
rates
to
those
lower
weakening
opposite
direction,
followed
selective
removal
weak
contacts,
allows
for
fewer
connections.
This
activity-led
results
emergence
degree-frequency,
degree-degree
correlations,
mixture
degree
assortativity.
compare
stimulation-induced
desynchronization
synchronized
states
model
models
(iv).
The
latter
require
stimuli
intensity
achieve
long-term
desynchronization.
These
findings
inform
future
pre-clinical
clinical
studies
invasive
or
non-invasive
stimulus
modalities
aiming
at
inducing
long-lasting
relief
symptoms,
e.g.,
Parkinson’s
disease.
Chaos An Interdisciplinary Journal of Nonlinear Science,
Год журнала:
2024,
Номер
34(2)
Опубликована: Фев. 1, 2024
A
class
of
adaptation
functions
is
found
for
which
a
synchronous
mode
with
different
number
phase
clusters
exists
in
network
oscillators
triadic
couplings.
This
implemented
fairly
wide
range
initial
conditions
and
the
maximum
four.
The
joint
influence
coupling
strength
parameters
on
synchronization
has
been
studied.
desynchronization
transition
under
variation
parameter
occurs
abruptly
begins
highest-frequency
oscillator,
spreading
hierarchically
to
all
other
elements.
Physical review. E,
Год журнала:
2024,
Номер
109(1)
Опубликована: Янв. 19, 2024
We
investigate
the
interplay
of
an
external
forcing
and
adaptive
network,
whose
connection
weights
coevolve
with
dynamical
states
phase
oscillators.
In
particular,
we
consider
Hebbian
anti-Hebbian
adaptation
mechanisms
for
evolution
weights.
The
manifests
several
interesting
partially
synchronized
states,
such
as
frequency
clusters,
bump
state,
forced
entrained
in
addition
to
completely
states.
Anti-Hebbian
facilitates
manifestation
itinerant
chimera
characterized
by
randomly
evolving
coherent
incoherent
domains
along
some
aforementioned
induced
adaptation.
introduce
three
distinct
measures
strength
incoherence
based
on
local
standard
deviations
time-averaged
instantaneous
each
oscillator,
mean
bin
corroborate
demarcate
two
parameter
diagrams.
also
arrive
at
existence
stability
conditions
state
using
linear
analysis,
which
is
found
be
consistent
simulation
results.
The
energy
transition
introduces
new
classes
of
dynamical
actors
into
the
power
grid.
There
is,
in
particular,
a
growing
need
for
so-called
grid-forming
inverters
(GFIs)
that
can
contribute
to
dynamic
grid
stability
as
share
synchronous
generators
decreases.
Understanding
collective
behavior
and
future
grids,
featuring
heterogeneous
mix
dynamics,
remains
an
urgent
challenging
task.
Two
recent
advances
describing
such
modern
dynamics
have
made
this
problem
more
tractable.
First,
normal
form
provides
uniform
technology-neutral
description
plausible
including
machines.
Second,
notion
complex
frequency
has
been
introduced
effortlessly
describe
how
nodal
influence
flows
major
contribution
paper
is
show
normal-form
approach
complex-frequency
grids
combine
they
relate
naturally
adaptive
networks
control-affine
systems.
Using
frequency,
we
derive
remarkably
elementary
universal
equation
dynamics.
Notably,
obtain
elegant
entirely
terms
matrix
couplings,
which
network
topology
does
not
appear
explicitly.
These
couplings
give
rise
formulations
We
formulation
Kuramoto
model,
with
inertia
special
case.
Starting
from
question
optimal
design
becomes
treatable
by
methods
affine
bilinear
control
theory.
demonstrate
perspective
deriving
quasilocal
stabilize
arbitrary
flows,
even
if
effective
Laplacian
positive
definite.
Published
American
Physical
Society
2024