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Abstract

This paper deals with the stabilization of a rotating body-beam system with torque control. The system we consider is the one studied by Baillieul and Levi (1987). Xu and Baillieul proved (1993) that, for any constant angular velocity smaller than a critical one, this system can be stabilized by means of a feedback torque control law if there is damping. We prove that this result also holds if there is no damping
608 IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 43, NO. 5, MAY 1998
Stabilization of a Rotating Body
Beam Without Damping
Jean-Michel Coron and Brigitte d’Andr
´
ea-Novel
AbstractThis paper deals with the stabilization of a rotating
body-beam system with torque control. The system we consider
is the one studied by Baillieul and Levi in [1]. In [12] it has been
proved by Xu and Baillieul that, for any constant angular velocity
smaller than a critical one, this system can be stabilized by means
of a feedback torque control law if there is damping. We prove
that this result also holds if there is no damping.
Index TermsDistributed control system, elastic beam, hybrid
system, nonlinear control, stabilization.
I. INTRODUCTION
T
HE GOAL of this paper is to study the stabilization of
a system, already considered in [1], consisting of a disk
with a beam attached to its center and perpendicular to the
disk’s plane. The beam is confined to another plane which is
perpendicular to the disk and rotates with the disk; see Fig. 1.
The dynamics of motion is (see [1] and [2])
(1)
(2)
where
is the length of the beam, is the mass per unit length
of the beam,
is the flexural rigidity per unit length of the
beam,
is the angular velocity of the disk at time
is the disk’s moment of inertia, is the beam’s
displacement in the rotating plane at time
with respect to
the spatial variable
is the damping term, and is
the torque control variable applied to the disk at time
(see
Fig. 1).
If there is no damping
, and therefore (1) reads
(3)
Two types of damping are considered in [12].
1) Viscous damping:
with .
2) Structural damping:
with .
Manuscript received January 24, 1997. Recommended by Associate Editor,
C.-Z. Xu. This work was supported by DRET under Grant 951170 and by the
PRC-GDR “Automatique” of the CNRS and the MST.
J.-M. Coron is with the Universit´e de Paris-Sud, Analyze Num´erique
et EDP, 91405 Orsay Cedex, France (e-mail: Jean-Michel.Coron@math.u-
psud.fr).
B. d’Andr
´
ea-Novel is with the Centre de Robotique,
´
Ecole des Mines de
Paris, 75272 Paris Cedex 06, France.
Publisher Item Identifier S 0018-9286(98)03589-2.
Fig. 1. The body-beam structure.
The asymptotic behavior of the solutions of (1) and (2) when
there is no control (i.e.,
) has been studied by Baillieul
and Levi in [1] and by Bloch and Titi in [4].
For both types of damping, Xu and Baillieul have con-
structed in [12] a feedback torque control law which globally
asymptotically stabilizes the equilibrium point
with
(4)
where
is an explicit critical angular velocity. This critical
angular velocity is given by
(5)
where
is the first eigenvalue of the unbounded linear
operator
in with domain
(6)
They also prove that
is optimal: if , they prove that
there is no feedback law which asymptotically stabilizes
.
The asymptotically stabilizing feedback law constructed in
[12] is linear, and the stabilization is strong and exponential.
In [8] Laousy et al. have constructed a globally asymptotically
stabilizing feedback in the case where there is no damping but
when there is a control also on the free boundary of the beam
(
).
The goal of this paper is to investigate the stabilization
problem when there is no damping and no control on the free
boundary. We construct in this case a (nonlinear) feedback
torque control law which globally asymptotically stabilizes the
equilibrium point
, provided that (4) holds.
Our paper is organized as follows: in Section II we introduce
some notations and construct stabilizing feedback laws. In
0018–9286/98$10.00 1998 IEEE
CORON AND D’ANDR
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Sections III and IV we prove the asymptotic stability for
and respectively.
II. N
OTATIONS AND STABILIZING FEEDBACK LAWS
Of course, by suitable scaling arguments, we may assume
that
. Let be the usual Sobolev
space
Let
The space with inner product
is a Hilbert space. For , let
We consider the unbounded linear operator in
with domain
It is well known that is an unbounded skew-adjoint operator
and therefore generates a unitary group
of bounded linear
operator on
. With this notation, our control system (2) and
(3) reads
(7)
(8)
with
(9)
By (9), we may consider
as the control.
Let us now give our stabilizing feedback law when
. Without loss of generality we may assume .
In order to explain how we have constructed our stabilizing
feedback law, let us first consider (7) as a control system where
is the state and is the control. Then a natural candidate
for a control Lyapunov function for this system is
(10)
By the definition of
(11)
From (4), (5), (10), and (11), we get the existence of a constant
such that
(12)
Moreover, the time derivative of
along the trajectories of
(7) is given by
Therefore, in order to stabilize (7) where is the state and
is the control, it is natural to propose the feedback law
where is a function of class such that
(13)
Note that control system (7) and (8) is obtained by adding
an integrator to (7). Therefore, following Byrnes and Isidori
[5] or Tsinias [11], a natural candidate for a control Lyapunov
function for control system (7) and (8) is
(14)
Then the time derivative of
along the trajectories of (7) and
(8) is
(15)
and a natural candidate for a stabilizing feedback law is, with
(16)
With this feedback law one has, using (15)
(17)
Hence, by (13)
(18)
We require that
is of class , so that
is Lipschitz on any bounded set, and therefore the Cauchy
610 IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 43, NO. 5, MAY 1998
problem associated to (7) and (8) has, for this feedback law
and for each initial datal in
, one and only one (maximal)
weak solution defined on an open interval containing zero; see,
e.g., [9]. For technical reasons, we require also that
s.t. (19)
In Section III we will prove the following theorem.
Theorem 1: The feedback law
defined by (16) globally
strongly asymptotically stabilizes the equilibrium point
of the control system (7) and (8).
Let us recall that by “globally strongly asymptotically
stabilizes the equilibrium point
,” one means that:
1) for every solution of (7)–(8) and (16)
(20)
2) for every
, there exists such that, for every
solution of (7)–(8) and (16),
Let us now turn to the case where . In order to
explain how we have constructed our stabilizing feedback law,
let us first consider again (7) as a control system where
is
the state and
is the control. Then natural candidates for a
control Lyapunov function and a stabilizing feedback law are,
respectively,
and , where
satisfies on and on . One
can prove that (see Appendix A) such feedbacks always give
weak asymptotic stabilization, i.e., one gets instead of (20)
weakly in as (21)
But it is not clear that such feedbacks give strong asymp-
totic stabilization. It is possible to prove that one gets such
stabilization for the particular case where the feedback is
(22)
Let us recall that control system (7) and (8) is obtained by
adding an integrator to control system (7). Unfortunately,
defined by (22) is not of class , and so one cannot use the
techniques given in [5] and [11]. The smoothness of this
is
also not sufficient to apply the desingularization techniques
introduced in [10]. For these reasons, we use a different
control Lyapunov function and a different feedback law to
asymptotically stabilize control system (7). For the control
Lyapunov function, we take
where satisfies
(23)
so that, by (11)
(24)
Computing the time derivative
of along the trajectories
of (7) one gets
(25)
where, for simplicity, we write
for and where
(26)
Let us impose that
(27)
s.t. (28)
It is then natural to consider the feedback law for (7)
vanishing at zero and such that on
(29)
where
is such that
(30)
s.t. (31)
(32)
Note that, using (11), one gets that for every
(33)
which, with (27), (28), and (32), implies that
(34)
From (11), (26), and (27), one gets
(35)
From (34) and (35), we get that
is well defined by (29) and
is of class
on . This regularity is sufficient to apply
the desingularization technique of [10]: we note that (29) is
equivalent to
(36)
CORON AND D’ANDR
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and therefore, following [10], one considers the following
control Lyapunov function for control system (7) and (8):
where, for simplicity, we write for and for .
Then, by (24)
as
Moreover, if one computes the time derivative of along
the trajectories of (7) and (8), one gets, using in particular (25)
(37)
where
(38)
with (39), as shown at the bottom of the page. Hence it is
natural to define feedback law
by
(40)
and, for every
(41)
Note that by (34)–(36)
(42)
Moreover, by (26), (28), and (31)–(33), there exists
such that
s.t. (43)
Using (26), (35), (36), (38), (39), and (41)–(43), one easily
checks that
is Lipschitz on any bounded set of .
Therefore, the Cauchy problem associated to (7) and (8) has,
for feedback law
, one and only one (maximal) solution
defined on an open interval containing zero. By (32), (37),
(38), (40), and (41), one has
(44)
In Section IV, we prove the following.
Theorem 2: The feedback law
defined by (40) and (41)
globally strongly asymptotically stabilizes the equilibrium
point
for the control system (7) and (8).
III. P
ROOF OF THEOREM 1
Throughout this section,
is defined by (16). The Proof of
Theorem 1 is divided in two parts.
1) First we prove that the trajectories of (7) and (8) are
precompact in
for .
2) Then we conclude by LaSalle’s theorem.
The main difficult point is to prove 1). More precisely, one
needs to prove that the energy associated to the high-frequency
modes is uniformly small [see (64)]. In order to prove this
uniform smallness, a key point is that all these modes satisfy
the same equation as
[see (62)]. Finally, in Lemma 1 we
get some estimates on
for any solution of (62) which
will allow us to prove the uniform smallness.
A. Precompactness of the Trajectories
Let
.
Then system (7) and (8) is equivalent to
(45)
(46)
Let
be a trajectory of (45) and (46). By (12), (14), and
(18)
is bounded in (47)
In this subsection we prove that
is precompact in (48)
Let us point out that one cannot apply the classical method [6]
due to Dafermos and Slemrod, since the operator from
into
is not monotone.
From (13) and (17) we get
(49)
(50)
(39)
612 IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 43, NO. 5, MAY 1998
By (47)
is bounded
which, with (13) and (19), implies the existence of
such
that for all
(51)
From (49) and (51) we get that
(52)
(53)
From (50) and (53) we get
(54)
Note that (47) and (54) give
(55)
The unbounded linear operator
in with
domain given by (6) is self-adjoint with compact resolvent.
Thus, it has a discrete spectrum
, with
, and its eigenvectors may be
taken to form an orthonormal basis in
; let us recall
that its eigenvalues are simple.
For
, let us define
(56)
where the
, are defined by
(57)
(58)
Note that the convergence in (57) is in
and the
convergence in (58) is in
. Moreover,
and and therefore .
Let us assume for the moment that the following lemma
holds.
Lemma 1: There exist
and such that
for every
and for every
such that
(59)
one has
(60)
(61)
For
and , let [respectively, ]be
the
-orthogonal projection of [respectively, ]
on the
-closed linear subspace spanned by the .
Let
. Then belongs to and
satisfies
(62)
with
(63)
By (47), in order to prove (48), it suffices to prove that
s.t.
(64)
Indeed, let
be given and let us denote by
the open ball of centered at and of radius . By (64) there
exists a positive integer
such that
(65)
But, by (47), the set
is a bounded subset
of
and, since it is also a subset of the finite dimensional
space spanned by the
, this set is precompact.
Therefore, there exists a finite number of functions
of such that
(66)
From (65) and (66) we get
Hence, can be covered by finitely many balls
of radius
for every and so is precompact. Since by
(47)
is also precompact, we get (48).
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From (62), we get
(67)
Taking the scalar product of (62) with
in the Hilbert
space
and using (67) we get, with
(68)
Clearly, for every
Hence, using (11), using (61) with
and using (60) with
we get that for every
and all
(69)
with
From (68) we get
which, with (47), (52), (55), (63), and (69) gives that for every
, there exists such that for every
(70)
Therefore, for every
and every
(71)
Indeed, (71) is true if
and, if ,it
suffices to apply (70) with
replaced by such that
and
Moreover, since is compact, there exists
such that
(72)
which, with (71), proves (64).
Finally, let us prove Lemma 1. Let us first point out that
we may assume that
(73)
Indeed, let us write
(74)
where
and are
defined by
(75)
(76)
Taking the scalar product of (75) with
in , we get, with
(77)
Let us denote by
, various positive constants
which are independent of
and , but may depend on
. From (76) and (77) and Gronwall’s lemma, one gets the
existence of
such that
(78)
which implies that, for some
(79)
Let
and let . We require that the
are also independent of . From (78) and the
Cauchy–Schwarz inequality, we get the existence of
such
that for every
(80)
Let us define
and by
requiring
(81)
(82)
614 IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 43, NO. 5, MAY 1998
(83)
(84)
The convergences in (81) and (82) [respectively, (83) and (84)]
are in
[respectively, ]. Then
(85)
Let us first study (61). Let us recall that (see, e.g., [7, pp.
74–75])
(86)
Hence by (80) and (85), there exists
such that for
every
(87)
Similarly, using (78) and (86), one gets the existence of
such that for every
(88)
Moreover, by (74) and (76)
(89)
and by (95), which is proved below
(90)
Taking
, we get from (79) and (87)–(90)
(91)
which, with (89), shows that in order to prove (61), we may
assume, without loss of generality, (73).
Let us now turn to (60). It follows from (79) and (87)–(90)
that
(92)
Using (89) and (92) with
small enough, one gets that in
order to prove (60) we may assume without loss of generality
that (73) holds.
From now on, we assume that (73) holds. Then, by (59) we
can write, with
(93)
(94)
The convergences in (93) and (94) are in
and respectively. We have
(95)
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which, in particular, implies (90) for . Moreover, we
have
By (86) we have, for large enough and if we let
Therefore, by a classical result on lacunary Fourier series (see,
e.g., [7, Lemmas 1.4.4 and 1.4.5]), for
large enough there
exists
such that
(96)
which, with (95), gives (60) and (61) for
large enough.
B. LaSalle’s Theorem
By (13), (48), and LaSalle’s theorem, in order to finish
the proof of Theorem 1, it suffices to check that if
is such that
(97)
in (98)
then
(99)
But (99) follows directly from (60), (97), and (98).
Remark 1: Let us point out that the main difficulty in the
proof of Theorem 1 is the strong convergence of
to zero
in
(as ). Indeed the convergence of to zero
can be directly deduced from the fact that
is in
and its derivative is bounded (see (54), (8), (16), (47), and [8,
Lemma 1]). Moreover, the weak convergence of
to zero
in
can be proved by proceeding as in Appendix A.
IV. P
ROOF OF THEOREM 2
Throughout this section,
is defined by (41) and .
We proceed as in the previous section, i.e.,
1) first we prove that the trajectories of (7) and (8) are
precompact in
for ;
2) then conclude by LaSalle’s theorem.
A. Precompactness of the Trajectories
Let
be a solution of (7) and (8). By (44)
is bounded in on (100)
In order to prove that
is precompact in (101)
we are going to check that, again
s.t. (102)
From (7) we get
(103)
which implies that
(104)
Let
and be defined by
(105)
(106)
By (36), (105), and (106), we have
(107)
For
, let
(108)
where the
, are defined by (57) and (58) with .
It is clear that for any
there exists such
that for any
(109)
It follows easily from (109) and from the Proof of Lemma 1
that the following generalization of this lemma holds.
Lemma 2: For any
, there exist
and such that, for every , for every
, and for every
such that
one has
(110)
616 IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 43, NO. 5, MAY 1998
(111)
Let
(112)
By (35) and (105), one has on
(113)
By (27), (100), (112), and (113)
(114)
Let
be as in Lemma 1 and let, for
(115)
From (112), (113), and (115), we get that
(116)
Moreover, from (103) and (107), we obtain, for every
and for every
(117)
which implies that
(118)
For
and , let
(119)
Let us denote by
, various constants which are
independent of
and . Using (100), (117),
(118), and (119), using (110) for
, and using (111) for
, we get the existence of such that
(120)
Note that (30) and (44) give
(121)
(122)
From (30), (31), (100), and (121) we get
(123)
(124)
From (35), (100), (106), (122), and (124), we get
(125)
By (115) and the Poincar
´
e inequality, there exists
such that
(126)
By (7), (115), and (119), there exists
such that if
(127)
then
(128)
By the Cauchy–Schwarz inequality and (108)
which, with (86), (110) for
and ,
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(120), (126), (127), and (128), gives the existence of
such that for every and every
(129)
By (116) and (119)
(130)
Straightforward computations show that
(131)
which, with (35), (100), and (123), gives
(132)
From (114), (123), (125), (129), (130), and (132), we get that
for every
, there exist such that for every ,
for every
, and for every
which, as in Section III-A, implies (102).
B. LaSalle’s Theorem
By LaSalle’s theorem, (30), (36), (44), and (101), in order
to finish the proof of Theorem 2, it suffices to check that if
is such that
(133)
on (134)
then
. But, from (26), (133), and (134), we get that
and do not depend on time and so there
exists
such that
(135)
By (27), (35), and (135)
(136)
From (133)–(136) and (110) of Lemma 2 applied with
and ,weget .
A
PPENDIX A
In this Appendix, we prove (21). By LaSalle’s theorem
(for
with the weak topology) it suffices to check that if
satisfies
(137)
(138)
then
(139)
By (137) and (138)
(140)
Therefore, since
, there exists
such that
(141)
Clearly, in order to prove (139), it suffices to check that
(142)
Since
there exists a sequence
of positive real numbers tending to as tends to
such that for some
weakly in (143)
Since
is weakly continuous, we have, using
(143)
weakly in as
(144)
with
. From (141) and (144) we get, if
(145)
Taking the time derivative of (145) with respect to time, we get
(146)
Using (96) with
we get, with (146), ,
which with (145) implies (142).
A
CKNOWLEDGMENT
The authors would like to thank C. Z. Xu for useful
discussions.
618 IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 43, NO. 5, MAY 1998
REFERENCES
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ea-Novel, and J.-M. Coron, “Lyapunov design of
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Jean-Michel Coron was born in Paris, France, in
1956. He obtained the dipl
ˆ
ome d’ing
´
enieur from the
Ecole Polytechnique in 1978 and from the Corps des
Mines in 1981. He received the th
`
ese d’
´
Etat in 1982.
He was a Researcher at the Ecole Nationale
Sup
´
erieure des Mines de Paris, then Associate Pro-
fessor at Ecole Polytechnique, Professor at the Uni-
versit
´
e Paris-Sud, Director of Research at CNRS,
and Director of the Centre de Math
´
ematiques et de
Leurs Applications (CNRS and ENS de Cachan). He
is currently a Professor at the Universit
´
e Paris-Sud.
His research interests include nonlinear partial differential equations, calculus
of variations, and nonlinear control theory.
Brigitte d’Andr
´
ea-Novel was born in Villerupt,
France, in 1961. She graduated from the
´
Ecole
Sup´erieure d’Informatique
´
Electronique Automa-
tique, France, in 1984. She received the Doctorate
degree from the
´
Ecole des Mines de Paris in 1987
and the Habilitation degree from the University of
Paris XI, Orsay, in 1995.
Presently she is a Professor of Systems Control
Theory at the
´
Ecole des Mines de Paris, and she is
also responsible for a research group on Control of
Mechanical Systems at the “Centre de Robotique”
of
´
Ecole des Mines de Paris. Her current research interests include nonlinear
control theory and its applications to underactuated mechanical systems,
modeling and control of mobile robots with application to automated
highways, and boundary control of mechanical systems with flexibilities
(described by coupled ODE and PDE).
... Our consideration is motivated by the problem of control and stabilization of rotating mechanical structures; see, e.g. Crimmins [12], Baillieul and Levi [2], Bloch and Titi [5], Coron and d'Andr'ea [11], Chen at al. [7], Guo and Wang [16], Chentouf and Wang [8], Deguenon and Barbulescu [13] and the references therein). For example, the mechanical model in Chentouf and Wang [8] consists of a disk with a beam attached to its center and perpendicular to the disk's plane. ...
... (b) The inequality ∀n ≥ 1 : λ n l > π 2 (10) holds. (c) The eigenfunctions have the form e n (z) = C a n (sin(λ n z) − sinh(λ n z)) + b n (cos(λ n z) − cosh(λ n z)) , n ≥ 1; a n = −b n cos(λ n l) + cosh(λ n l) sin(λ n l) + sinh(λ n l) (11) with an arbitrary constant C. ...
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Existence, uniqueness, boundedness and stability of approximate series solutions to the quasi-linear, damped disk-beam system with any beam length l>0l>0 and beam density ρ>0\rho >0 are shown in appropriate Hilbert space settings. This system presents a 4th-order PDE with homogeneous boundary, L2L^2-regular initial conditions and non-linear control term F(uL22)uF(\Vert u\Vert ^2_{L^2})u with functions F. The disk-beam PDE is perturbed by additive, velocity-dependent, space-time random noise which is L2L^2-regular, has finite (but general) covariance structure in space and is driven by standard i.i.d. infinite-dimensional Wiener processes in time t on a complete filtered probability space. Estimates of expected total energy and its conservation laws (a trace formula) are presented and verified. The technique of finite-dimensional series approximation is exploited while gaining uniform control of moments by appropriate Lyapunov-type functionals and depending on diverse parameters. Eventually, a.s. and exponential mean square stability of the trivial solution is proven on appropriate Hilbert spaces H under fairly general conditions.
... The strategy used in this article is inspired from backstepping techniques. Initially developed to design, in a recursive way, more effective feedback laws for globally asymptotic stable finite dimensional system for which a feedback law and a Lyapunov function are already known (we refer to [30,46,18] for a comprehensive introduction in finite dimension and [20,34] for an application of this method to partial differential equations), the backstepping approach was later used in the infinite dimensional setting to design feedback laws by mapping the system to stabilize to a target stable system. To our knowledge, this strategy was first introduced in the context of partial differential equations to design a feedback law for heat equation [1] and, later on, for a class of parabolic PDE [12]. ...
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We consider the one dimensional Schr\"odinger equation with a bilinear control and prove the rapid stabilization of the linearized equation around the ground state. The feedback law ensuring the rapid stabilization is obtained using a transformation mapping the solution to the linearized equation on the solution to an exponentially stable target linear equation. A suitable condition is imposed on the transformation in order to cancel the non-local terms arising in the kernel system. This conditions also insures the uniqueness of the transformation. The continuity and invertibility of the transformation follows from exact controllability of the linearized system.
... Indeed, it requires the precompactness of the closed-loop trajectories, a property that is difficult to prove in infinite dimension. This strategy is used, for exemple in [14]. ...
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We consider a non relativistic charged particle in a 1-dimensional infinite square potential well. This quantum system is subjected to a control, which is a uniform (in space) time depending electric field. It is represented by a complex probability amplitude solution of a Schrodinger equation on a 1-dimensional bounded domain, with Dirichlet boundary conditions. We prove the almost global approximate stabilization of the eigenstates by explicit feedback laws.
... The backstepping method was introduced firstly for finite dimensional control systems governed by ODE [12]. The first extensions to PDE have appeared in [3] and [17]. Later, in [19] and [15], the authors have introduced an invertible integral transformation that transforms the original parabolic PDE into an asymptotically stable one. ...
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... On the other hand, in the case of non-uniform beam, the stability results were enhanced with dynamic boundary controls [6,18]. In addition, nonlinear feedback control laws were designed in [7,9,16,22,23] for the system (1.1). Moreover, asymptotic and exponential stability results were reported. ...
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... First introduced in [13,38,45] for finite dimensional systems, the backstepping approach was later used and adapted for PDE in [16,7,9,43,40]. It consists in transforming the original system, hard to stabilize, into a simpler target system, using an isomorphism. The main difficulty is then to show the existence of such an isomorphism. ...
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... He et al. designed an output-feedback control law using a Lyapunov-based approach with a disturbance observers [12]; the Lyapunov approach is a powerful tool in design of control laws for beams, not only in the Timoshenko model (see e.g. [7]). Extending the approach, He et al. proposed an adaptive integral-Barrier Lyapunov function boundary control for inhomogeneous Timoshenko beams with constraints [13]. ...
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