At the end of the 1980’s, (Bitsoris, 1988), (Hennet,
1989), and also more recently (Farina and al., 1998)
have explored and characterized other kind of posi-
tively invariant sets.
In (Ahmane and al., 2004) it has been shown that
the algebraic characterization of the inclusion of two
polyhedral sets provided by Haar’s Lemma is the fun-
damental notion for the characterization of the posi-
tive invariance of discrete-time Markov chains in par-
ticular and linear systems in general. This idea is
adapted here in the context of the control of Dis-
crete Event Systems (DES) using the properties of A-
invariance and (A ⊕ B ⊗ F )-invariance.
Let (S, ⊕, ⊗, ε, e) = (R ∪
{−∞, +∞}, max, +, −∞, 0) be a complete idem-
potent semiring (see definitions in section 2.3). Let us
now consider the linear systems over (S, ⊕, ⊗, ε, e)
specified by (d, ⊗, A) and defined by:
(d, ⊗, A) :
x(0) ∈ S
d
,
x(n) = A ⊗ x(n − 1), n ≥ 1,
(2)
with d ∈ N, x(n) is the state vector at time instant
n and A ∈ S
d×d
is the state matrix. The vectorial
equation (2) means that
∀i, x
i
(n) = max
j=1,...,d
(A
i,j
+ x
j
(n − 1)).
Define now the Max-Plus ellipsoidal set as follows:
E(P, w, α) = {x ∈ S
d
| x
T
⊗ P ⊗ x
⊗(α)
≤ w}, (3)
where matrix P ∈ S
d×d
, w ∈ S \ {ε}, (·)
T
denotes
the transpose operator and
∀x ∈ S
d
, x
⊗(α)
def
= (x
⊗α
1
, . . . , x
⊗α
d
)
T
= (x
⊗α
j
)
T
j=1,...,d
,
with
∀a ∈ S, ∀α ∈ R, a
⊗α
def
= αa,
with αa denotes the usual multiplication α × a.
In linear algebra, E(P, w, α) coincides with the notion
of ellipsoid.
The main results of this paper are as follows. First,
Using Haar’s Lemma (see Result 1), we obtain suffi-
cient condition under which the following assertion is
true (cf. Theorem 1):
∀x(0) ∈ S
d
, [x(0) ∈ E(P, w, α) ⇒ ∀n, x(n) ∈ E(P, w, α)].
(4)
We will then introduce the concept of the positive in-
variance by the max-plus linear mapping x 7→ A ⊗ x
or the A-invariance of the set E(P, w, α). It means
that if the state of the system at time instant 0 is on
the set E(P, w, α), one is sure that this state will re-
main within the set E(P, w, α) at every time instant
n. Second, we show that this sufficient condition for
the positive invariance of such set allow us to deter-
mine a max-plus linear state feedback control law. It
means to find a feedback F ∈ S
m×d
such that the
following linear system over a complete idempotent
semiring (S, ⊕, ⊗, ε, e) defined by:
(
x(0) ∈ S
d
, A ∈ S
d×d
, B ∈ S
d×m
x(n) = A ⊗ x(n − 1) ⊕ B ⊗ u(n),
u(n) = F ⊗ x(n − 1), n = 1, 2, . . . ,
verifies the assertion (4). We will also then introduce
the concept of the (A ⊕ B ⊗ F )-invariance of the set
E(P, w, α). It means that if the state of the system at
time instant 0 is in the set E(P, w, α), one is sure with
applying an adequate control u that this state will re-
main within the set E(P, w, α) at time instant n. Oth-
erwise says, the state x(n) can be forced to remain
inside E(P, w, α) by an adequate choice of the con-
trol u. To obtain such feedback on the state system,
the residuation theory is one of the main tool.
The paper is organized as follows. In Section 2, we
introduce the main notations used in this paper and
we present the main definitions of max-plus algebra.
The main references are e.g. ((Baccelli and al., 1992),
(Blyth and al. 1972), (Golan, 1992)). In Section 3,
we identify and characterize the positive invariance of
a max-plus ellipsoidal set. Sufficient conditions for
A-invariance and (A ⊕ B ⊗ F )-invariance are pro-
vided using Haar’s Lemma (Result 1). As an applica-
tion, Subsection 3.1 and 3.2 are respectively devoted
to the existence of a max-plus linear state feedback
controller and to a method for computing this max-
plus linear state feedback control law. Finally, some
conclusions are given in Section 4.
2 BACKGROUND
2.1 Notations and Definitions
• (·)
T
denotes the transpose operator.
• ≤
m
denotes the component-wise ordering of S
m
,
for all m ∈ N.
• All vectors are column vectors.
• If A, B ∈ S
m×n
then A ≤ B denotes the entry-
wise comparison of the matrices A and B.
2.2 Ordered Sets and Elements of
Residuation Theory
Let (Ω, ≤) be a partially ordered set. (Ω, ≤) is a
sup semilattice (resp. inf semilattice) iff any set
{ω
1
, ω
2
} ⊂ Ω has a supremum
W
{ω
1
, ω
2
} (resp. an
infimum
V
{ω
1
, ω
2
}). (Ω, ≤) is a lattice iff (Ω, ≤)
is a sup and inf semilattice. (Ω, ≤) is complete iff
any set A ⊂ Ω has a supremum
W
A. A com-
plete ordered set is also a complete lattice because
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