Dynamical Analysis and Sliding Mode Controller for the New 4D Chaotic Supply Chain Model Based on the Product Received by the Customer
Mathematics,
Год журнала:
2024,
Номер
12(13), С. 1938 - 1938
Опубликована: Июнь 22, 2024
Supply
chains
comprise
various
interconnected
components
like
suppliers,
manufacturers,
distributors,
retailers,
and
customers,
each
with
unique
variables
interactions.
Managing
dynamic
supply
is
highly
challenging,
particularly
when
considering
sources
of
risk
factors.
This
paper
extensively
explores
dynamical
analysis
multistability
to
understand
nonlinear
behaviors
pinpoint
potential
risks
within
chains.
Different
phase
portraits
are
used
demonstrate
the
impact
factors
such
as
transportation
risk,
quality
distortion,
contingency
reserves,
safety
stock
on
both
customers
retailers.
We
introduced
a
sliding
mode
control
method
that
computes
surface
its
derivative
by
error
derivative.
The
equivalent
law
based
derived
validated
for
purposes.
Our
results
show
controller
SMC
can
significantly
enhance
chain
stability
efficiency.
research
provides
robust
framework
understanding
complex
dynamics
offers
practical
solutions
resilience
flexibility.
Язык: Английский
Dynamically optimized fixed‐time fast terminal sliding surface design for manipulator trajectory tracking
Asian Journal of Control,
Год журнала:
2025,
Номер
unknown
Опубликована: Май 13, 2025
Abstract
The
paper
focuses
on
the
issue
of
trajectory
tracking
control
multijoint
manipulators
with
unknown
disturbance
terms.
Firstly,
for
external
disturbances
and
modeling
uncertainties
controlled
manipulator
system,
an
adaptive
sliding
mode
observer
is
designed.
estimated
results
are
used
in
subsequent
controller
design
to
eliminate
influence
system
stability.
Secondly,
improved
fast
terminal
surface
proposed
solve
singular
problem.
Meanwhile,
double
power
reaching
law
arctangent
function
introduced
reduce
amplitude
frequency
chattering.
Theoretical
analysis
demonstrates
that
achieves
accurate
estimation
while
dynamically
optimized
ensures
convergence
within
a
fixed
time.
Finally,
presented
scheme
verified
by
numerical
simulation
example
two‐joint
manipulator.
Язык: Английский
Radial basis function neural network based data-driven iterative learning consensus tracking for unknown multi-agent systems
Applied Soft Computing,
Год журнала:
2024,
Номер
167, С. 112425 - 112425
Опубликована: Ноя. 5, 2024
Язык: Английский
Adaptive passive fault tolerant control of DFIG-based wind turbine using a self-tuning fractional integral sliding mode control
Frontiers in Energy Research,
Год журнала:
2024,
Номер
12
Опубликована: Авг. 20, 2024
Controlling
variable
wind
speed
turbine
(VWT)
system
based
on
a
doubly-fed
induction
generator
(DFIG)
is
challenging
task.
It
requires
control
law
that
both
adaptable
and
robust
enough
to
handle
the
complex
dynamics
of
closed
loop
system.
Sliding
mode
(SMC)
technology
has
shown
good
performance
when
employed
as
passive
fault-tolerant
for
energy
systems.
To
improve
VWT
DFIG
with
aim
improving
efficiency,
even
in
presence
nonlinearities
certain
range
bounded
parametric
uncertainties,
whether
electrically
or
mechanically,
an
adaptive
fault
tolerant
(AP-FTC)
self-tuning
fractional
integral
sliding
(ST-FISMC)
developed
from
novel
hyperbolic
surface
proposed
this
paper.
ST-FISMC
introduces
nonlinear
function
into
manifold
adaptation
law,
while
smooths
discontinuous
sign
reduce
chattering.
Additionally,
work
observer,
proved
chosen
Lyapunov
function.
This
observer
designed
estimate
variations
electrical
parameters
stator
flux,
ensuring
sensorless
decoupling
indirect
field-
oriented
(SI-FOC)
DFIG.
theory
also
used
prove
stability
states
vectors
uncertainties
external
disturbances.
Simulation
results
show
approach
offers
better
capturing
optimal
energy,
well
ability
regulate
active/reactive
power
high
resilience
occurring
parameter
Язык: Английский
H ∞ prescribed tracking performance-based fractional-order sliding mode control for disturbed discrete-time systems: an LMI approach
International Journal of Systems Science,
Год журнала:
2024,
Номер
unknown, С. 1 - 17
Опубликована: Окт. 11, 2024
This
paper
presents
a
novel
approach
to
the
design
of
discrete-time
Fractional-Order
Sliding
Mode
Control
(FSMC)
system
for
Single
Input
Output
(SISO)
applications,
utilising
Autoregressive
with
exogenous
input
(ARX)
method
modelling.
The
proposed
methodology
emphasises
Prescribed
Performance
(PPC)
ensure
minimal
tracking
errors
through
transformation
based
on
specified
performance
function.
A
Quasi-Sliding
(FQSMC)
is
subsequently
developed
maintain
error
within
predetermined
bounds,
effectively
addressing
chattering
phenomenon
commonly
associated
traditional
sliding
mode
control.
integration
fractional
calculus
enhances
smoothness
output
while
ensuring
accurate
tracking,
making
it
ideal
real-world
applications.
Additionally,
Linear
Matrix
Inequality
(LMI)
observer
introduced
bolster
system's
resilience
against
uncertainties
and
disturbances
without
complicating
computational
process.
effectiveness
(PP-FQSMC)
validated
extensive
MATLAB
simulations
experimental
studies
conducted
Tank
system.
Results
demonstrate
that
PP-FQSMC
significantly
outperforms
methods,
maximum
1.6
×
10−4
compared
0.2
PP-QSMC
Root
Mean
Square
Tracking
Error
(RMSTE)
1.3
10−3
1.2
PP-QSMC,
strong
stability.
findings
indicate
controller
mitigates
in
control
signals
maintaining
smooth
output.
It
showcases
its
potential
practical
applications
environments
characterised
by
model
inaccuracies,
time
delays,
external
disturbances.
Язык: Английский