The
study
aims
to
explore
the
problem
of
distributed
cooperative
optimization
control
for
leader-following
interconnected
nonlinear
multi-agent
systems(MASs)
via
a
dynamic
integrated
system
and
parameter
estimation
(DISOPE)
algorithm.
In
addition
graph
topology,
inherent
interconnections
among
agents
are
paid
attention
in
paper.
Therefore,
our
goal
is
design
strategy
within
limited
time
multiagent
systems
(IMASs),
with
aim
achieving
optimal
performance
all
local
indices.
addition,
DISOPE
algorithm
has
been
shown
converge,
its
convergent
solution
satisfies
optimality
conditions.
Finally,
validated
through
simulation.
IEEE Transactions on Aerospace and Electronic Systems,
Год журнала:
2023,
Номер
unknown, С. 1 - 13
Опубликована: Янв. 1, 2023
Research
on
uncertainty-oriented
optimal
attitude
control
of
spacecraft
with
complex
space
environments
and
multi-source
uncertainties
is
a
research
hotspot.
Considering
that
the
uncertain
parameters
in
system
are
difficult
to
quantify,
this
study
proposed
an
interval
method
based
linear
quadratic
regulator
(LQR)
for
control.
The
state-space
equation
dynamic
controlled
feedback
gain
was
constituted
by
expanding
deterministic
model
into
order-extended
matrix
format.
Based
uncertainty
propagation
method,
interval-based
Riccati
LQR
using
modified
estimation
method.
Therefore,
interval-controlled
cost
function
could
be
obtained,
overestimation
attributed
expansion
avoided.
reliability
investigated
state-threshold
interference
model,
safety
index
developed.
uncertainty-based
multi-objective
constraints
balance
both
minimizations
state
vector
fluctuation
considering
these
two
indices
as
A
flowchart
numerical
example
satellite
were
applied
reflect
effectiveness.
International Journal of Robust and Nonlinear Control,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 27, 2025
ABSTRACT
In
this
paper,
the
formation
control
strategy
is
designed
for
a
class
of
multi‐agent
systems
with
heterogeneous
quadrotor
UAVs
structure
subjected
to
external
disturbances
and
modeling
uncertainties.
Specifically,
self‐triggered
scheme
developed
reduce
network
load,
which
computes
next
triggering
instant
based
on
past
current
transmitted
states.
Further,
unmeasurable
states
are
estimated
by
applying
an
extended
state
observer.
Based
LaSalle's
invariance
principle,
Lyapunov‐based
approach
analyzed
some
sufficient
conditions
proposed
considered
systems,
while
avoiding
Zeno
phenomenon.
Finally,
we
validate
effectiveness
algorithms
through
simulation
result.
International Journal of Systems Science,
Год журнала:
2025,
Номер
unknown, С. 1 - 18
Опубликована: Янв. 7, 2025
This
article
investigates
the
adaptive
fixed-time
prescribed
performance
(FTPP)
consensus
tracking
control
problem
for
uncertain
nonstrict-feedback
multiagent
systems
with
unmeasured
states
and
time-varying
delays.
First,
a
piecewise
function
is
proposed
to
characterise
FTPP
eliminate
initial
value
limitations
present
in
traditional
methods.
To
ensure
that
errors
satisfy
performance,
barrier
functions
are
further
constructed
introduced
into
design
process.
Second,
based
on
approximation
of
neural
networks,
state
observers
designed
estimate
states.
Then,
an
scheme
developed
command
filtered
backstepping
technique
Lyapunov-Krasovskii
functional.
It
guarantees
(1)
all
signals
closed-loop
system
semiglobally
uniformly
ultimately
bounded;
(2)
any
bounded
values,
followers'
outputs
can
track
leader's
output
within
accuracy,
while
satisfying
required
transient
performance.
Finally,
effectiveness
verified
through
simulation
studies.
