Well-posedness of infinite-dimensional non-autonomous passive boundary control systems
Birgit Jacob, Hafida Laasri

TL;DR
This paper investigates the well-posedness of non-autonomous boundary control systems governed by PDEs, providing conditions for existence and uniqueness of solutions in infinite-dimensional settings.
Contribution
It offers new sufficient conditions for well-posedness of non-autonomous boundary control systems with multiplicative perturbations, applicable to PDE models like wave equations and beams.
Findings
Established criteria for well-posedness of non-autonomous boundary systems
Proved existence and uniqueness of classical and mild solutions
Applicable to PDEs such as wave equations and Timoshenko beams
Abstract
We study a class of non-autonomous boundary control and observation linear systems that are governed by non-autonomous multiplicative perturbations. This class is motivated by different fundamental partial differential equations, such as controlled wave equations and Timoshenko beams. Our main results give sufficient condition for well-posedness, existence and uniqueness of classical and mild solutions.
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Well-posedness of infinite-dimensional non-autonomous passive boundary control systems
Birgit Jacob1 and Hafida Laasri2
Abstract.
We study a class of non-autonomous boundary control and observation linear systems that are governed by non-autonomous multiplicative perturbations. This class is motivated by different fundamental partial differential equations, such as controlled wave equations and Timoshenko beams. Our main results give sufficient condition for well-posedness, existence and uniqueness of classical and mild solutions.
University of Wuppertal, School of Mathematics and Natural Science, Gaußstrasse 20, D-42119 Wuppertal, Germany, [email protected].
University of Wuppertal, School of Mathematics and Natural Science, Gaußstrasse 20, D-42119 Wuppertal, Germany, [email protected]. Support by Deutsche Forschungsgemeinschaft (Grant LA 4197/1-1) is gratefully acknowledged.
**Key words: ** infinite-dimensional non-autonomous control system, evolution family, port-Hamiltonian system, well-posedness
MSC: 93C25, 47D06, 93C20.
1. Introduction
We consider the following non-autonomous partial differential equation with boundary input and boundary output
[TABLE]
Here denotes the trace operator defined by
[TABLE]
is matrix for all , , for all and almost every , is a -matrix, is -matrix and is a -matrix. Finally, denotes the input and is the output at time .
This partial differential equation is also known as port-Hamiltonian systems, and covers the wave equation, the transport equation, beam equations, coupled beam and wave equations as well as certain networks. Autonomous port-Hamiltonian systems, that is when are time-independent, have been intensively investigated, see e.g., [15, 16, 3, 2, 17, 22, 36, 41]. The existence of mild/classical solutions with non-increasing energy and well-posedness for autonomous port-Hamiltonian systems can in most cases be tested via a simple matrix condition [22, Theorem 4.1]. Well-posedness of linear systems in general is not easy to prove and a necessary condition is that the state operator generates a strongly continuous semigroup. For the class of autonomous port-Hamiltonian systems of first order i.e., , this condition is even sufficient under some weak assumptions on see [22] or [17, Theorem 13.2.2].
In this paper, we aim to generalize these solvability and well-posedness results to the non-autonomous situation. To our knowledge, in contrast to infinite-dimensional autonomous port-Hamiltonian systems, the non-autonomous counterpart has not been discussed so far. Motivated by this class we start a systematic study of non-autonomous linear boundary control and observation systems, and in particular those of the following form
[TABLE]
which we denote by Here is a linear operator, , , the boundary operators and are linear such that , , and are complex Hilbert spaces and for all Setting
[TABLE]
we see that the non-autonomous port-Hamiltonian system is in fact a special class of non-autonomous systems of the form (1)-(3).
A pair is a classical solution of (1)-(3) if and for all such that satisfy (1)-(2) and (3), respectively. The system is called well-posed if for each (classical) solution and any final time the operator mapping the input functions and to the initial state to and the output functions is bounded, i.e.
[TABLE]
for some constant independent of and
Our approach for the solvability of is based on a non-autonomous version of the Fattorini’s trick, the theory of evolution families together with an idea of Schnaubelt and Weiss [29, Section 2].
Evolution families are a generalization of strongly continuous semigroups, and are often used to describe the solution of an abstract non-autonomous Cauchy problem. In Section 2, we therefore review the concept of evolution families and that of -well posed non-autonomous Cauchy problems. Furthermore, we provide several abstract results which are crucial for the analysis of our non-autonomous boundary control and observation systems.
Fattorini’s trick is well known for autonomous boundary control systems [17, 12, 9]. The basic idea of this approach is to reformulate the state and the control equation into an abstract inhomogeneous Cauchy problem on A brief description of the autonomous situation is given in Subsection 3.1. In Subsection 4.1 we provide a generalization to non-autonomous boundary control systems (see Proposition 4.2). This generalization and the results of Section 2 are then used to prove our main classical solvability results: Theorem 4.8 and Theorem 6.5.
The second main purpose of this paper is the study of the well-posedness for non-autonomous boundary and observation systems However, we will restrict ourselves to the case where for every the (unperturbed) autonomous system is -scattering passive i.e., when
[TABLE]
for all in an appropriate subspace of where and are bounded linear operators. A precise definition and a characterization of scattering passive autonomous and non-autonomous systems is the subject of Subsection 3.2 and Subsection 4.2, respectively. Under additional conditions we then prove in Theorem 4.8 that the perturbed system is well-posed. In particular, we deduce in Theorem 6.5 that well-posedness for a large class of non-autonomous port-Hamiltonian systems can be checked via a simples matrix condition.
In the literature most attention has been devoted to autonomous control systems. However, in view of applications, the interest in non-autonomous systems has been rapidly growing in recent years, see e.g., [13, 26, 7, 29, 19, 6, 18, 28] and the references therein. In particular, a class of scattering passive linear non-autonomous linear systems of the form
[TABLE]
has been studied by R. Schnaubelt and G. Weiss in [29]. Here generates a strongly continuous semigroup on , is a bounded extension of , and where is the extrapolation space corresponding to and for some
The control part (1)-(2) of the nonautonomous boundary control system can be rewritten in the (standard) abstract formulation (4), however, in the particular case where is constant which for non-autonomous port-Hamiltonian system correspond to the case where the matrices are constant with respect to time variable. On the other hand, when the output part (3) could be also written into (5) using the concept of system nodes. Indeed, well-posed autonomous port-Hamiltonian system fit into the framework of compatible system nodes [37, Theorem 10]. This can be also easily generalized for boundary control and observation systems defined in Definition 3.2. Since we do not follow the approach of [29], this topic will not be discussed in this paper and we refer to [31, 34] for more details on system nodes.
For the general case, that is when is not constant, then and will be time dependent. Thus, the abstract results in [29] cannot be immediately applied to deduce classical solvability and well-posedness for (1)-(3). We expect that the results in [29] can be generalized to include this general case. However, for the class of boundary control systems defined in Definition 3.2 we deal directly with (1)-(2) in combination with Fattorini’s trick instead of its corresponding system (4)-(5). Our method is indeed much simpler. Moreover, in general it is not clear how the solution of (4)-(5) can be related to that of (1)-(3) even for the special case where is constant. In the autonomous case this relationship is quite simple as we can see in Section 3. The reason is that -semigroups can be always extended to the extrapolation space. The situation is more delicate for the non-autonomous setting. Indeed, a general extrapolation theory for evolution families is still missing. Moreover, the extrapolation space may also depend on the time variable. In Section 5 we deal with this question by associating a mild solution to the control part (1)-(2) of the nonautonomous boundary control system
Finally, we apply our abstract results to non-autonomous port-Hamiltonian systems, in particular to the time-dependent vibrating string and the time-dependent Timoschenko beam.
2. Background on evolution families and preliminary results
Throughout this section is a Banach space. Let be a family of linear, closed operators with domains . Consider the non-autonomous Cauchy problem
[TABLE]
A continuous function is called a classical solution of (6) if for all and satisfies (6).
Definition 2.1**.**
The non-autonomous Cauchy problem (6) is called -well posed if there is a family of dense subspaces of such that:
for all .
For each and the Cauchy problem (6) has a unique classical solution with for all .
The solutions depend continuously on the initial data .
If we want to specify the regularity subspaces , , we also say (6) is -well posed on .
In the autonomous case, i.e., if is constant, then it is well known that the associated Cauchy problem is well-posed if and only if generates a -semigroup . In this case, for each the unique classical solution is given by . The following definition provides a natural generalization of operator semigroups for non-autonomous evolution equations.
Definition 2.2**.**
A family where is called an evolution family if:
and for every ,
is strongly continuous.
The evolution family is said to be generated by , if there is a family of dense subspaces of with and
For every , the function is the unique classical solution of (6).
The Cauchy problem (6) is then -well posed if and only if , , generates a unique evolution family, see [10, Proposition 9.3] or [24, Proposition 3.10]. Clearly, if is a -semigroup in with generator , then yields an evolution family on with regularity spaces .
2.1. Similar evolution families
Let be an evolution family on and let be a family of isomorphisms on such that and are strongly continuous on . Define the two parameters operator family by
[TABLE]
It is well known that if is a -semigroup on with generator and is an isomorphism, then is again a -semigroup on , called similar -semigroup to , and its generator is given by , where
[TABLE]
The purpose of this section is to generalize the concept of similar semigroups to evolution families.
Lemma 2.3**.**
The two parameters family , defined by (7), defines an evolution family on .
Proof.
Clearly, the evolution law in Definition 2.2 is fulfilled. It remains to prove the strong continuity of in . Let and , and set . Let , for such that . Then is bounded by the uniform boundedness theorem. Since
[TABLE]
we deduce that is continuous on . Thus, using a similar argument for and we obtain that is continuous on . Since is arbitrary, this proves the assertion. ∎
In contrast to semigroups, the evolution law and the strong continuity do not guarantee that the given evolution family is generated by some family of linear closed operators.
Proposition 2.4**.**
Assume that is in addition strongly -differentiable. Then is generated by a family with regularity spaces if and only if is generated by with regularity spaces where
[TABLE]
Proof.
Assume that is generated by with regularity spaces . We first remark that is a dense subspace of and
[TABLE]
for every , where . Next, let . Then and by assumption is the unique classical solution of
[TABLE]
It follows that by (8) and
[TABLE]
Since is strongly -differentiable, it now follows from (10)-(11) that and solves the non-autonomous problem
[TABLE]
Clearly, is the unique classical solution of (12). We conclude that is generated by with regularity space .
Conversely, assume that generates the evolution family with some regularity spaces Since is -strongly continuous we obtain by that the family generates the evolution defined by
[TABLE]
with regularity space This completes the proof. ∎
If is the generator of a -semigroup and , then the perturbed operator is again the generator of a -semigroup, see e.g., [10, Section 1.2] or [35]. This perturbation results fails to be true in general for non-autonomous evolution equations [10, Example 9.2]. Thus one cannot conclude from Proposition 2.4 that the family generates an evolution family. Nevertheless, inspired by an idea of Schnaubelt and Weiss [29], using Proposition 2.4 we show that a positive answer can be given under some additional regularity assumptions.
For this we first need to introduce the following definition.
Definition 2.5**.**
(Kato’s class)
- (1)
A family is said to be Kato-stable if for each there exists a norm on equivalent to the original one such that for each there exists a constant with
[TABLE]
and generates a contractive -semigroup on for all . 2. (2)
A family is said to belong to Kato’s class if it is Kato-stable and the operators , , have a common domain such that is strongly -differentiable.
It is known that Kato-stability is a sufficient condition for -well posedness of (hyperbolic) non-autonomous evolution equations [21, 35, 32]. In particular, each non-autonomous evolution equation that is governed by a Kato-class family is -well posed.
Obviously, is Kato-stable if each operator generates a contractive -semigroup, as one can simply choose , . In this case we say that belongs to the elementary Kato class. Starting from this simple case many less trivial Kato-stable families can be constructed.
Example 2.6**.**
Assume that is a Hilbert space. Let be self-adjoint and uniformly coercive, i.e., and for some constant and all . If is strongly -continuous and is strongly continuous, then for each the function
[TABLE]
defines a norm on which is equivalent to the norm and satisfies (13). Moreover, if has a common domain and for each the operator generates a contraction -semigroup in , then and generate contractive -semigroups on , and thus both families and are Kato-stable. We refer to [17, Lemma 7.2.3] and to the proof of [29, Proposition 2.3] for precise details. Finally, if is a locally uniformly bounded function, then and are Kato-stable [32, Propositions 4.3.2 and 4.3.3].
Proposition 2.7**.**
Let belong to the Kato-class and let denote the common domain of , . Assume that is strongly -continuous. Then generates a unique evolution family with regularity spaces , . Moreover, for each and the inhomogeneous non-autonomous Cauchy problem
[TABLE]
has a unique classical solution given by
[TABLE]
Proof.
It is not difficult to verify that (13) implies that for all , and . Using [32, Propositions 4.3.2 and 4.3.3] and [32, Corollary of Theorem 4.4.2] we obtain that generates a unique evolution family on . Thus the first assertion follows from Proposition 2.4. Next, let and . By [32, Theorem 4.5.3] the inhomogeneous Cauchy problem
[TABLE]
has a unique classical solution given by
[TABLE]
On the other hand, arguing as in the proof of Proposition 2.4 we see that is a classical solution of (15). The uniqueness of classical solutions of (15) follows from the uniqueness of classical solutions of (17). Finally, (16) follows from (19) and (7). ∎
Using Example 2.6 and Proposition 2.7 one can formulate the following two corollaries.
Corollary 2.8**.**
Assume that is a Hilbert space. Assume that belongs to the elementary Kato class and denote by the common of , . Let and be self-adjoint and uniformly coercive such that is strongly -continuous while is strongly -differentiable. Then generates a unique evolution family with regularity spaces , . Moreover, for each and the inhomogeneous non-autonomous Cauchy problem
[TABLE]
has a unique classical solution given by (16).
Proof.
For the proof we just have to apply Proposition 2.7 for instead of and instead of . ∎
Corollary 2.9**.**
Let be a Hilbert space and let be generator of a contractive -semigroup on . Let and be as in Corollary 2.8. Further, let be self-adjoint and uniformly coercive such that is strongly -continuous and commute with i.e.
[TABLE]
Then the family generates a unique evolution family with regularity spaces , Moreover, for each and the inhomogeneous non-autonomous Cauchy problem
[TABLE]
has a unique classical solution given by (16).
Proof.
From Example 2.6 we deduce that the family and therefore belongs to Kato’s class. In fact, using (22) we see that is selfadjoint and uniformly coercive. Now, applying Proposition 2.7 for instead of and instead of concludes the proof. ∎
Remark 2.10**.**
Corollary 2.8 has been proved in [29, Proposition 2.8-(a)] using a slightly different method for and .
2.2. Backward evolution families
Let be a Hilbert space over or .
Definition 2.11**.**
A family is called a backward evolution family if
and for every ,
is strongly continuous.
A family , , of linear operators generates a backward evolution equation if there is a family of dense subspaces of with and
[TABLE]
for every and solves uniquely the backward non-autonomous problem
[TABLE]
Lemma 2.12**.**
- (1)
Assume that belongs to the elementary Kato-class. Then generates a backward evolution family. 2. (2)
Assume that generates an evolution family If the adjoint operators generate a backward evolution family then for we have
[TABLE]
Proof.
Let be fixed and set . Then, obviously belongs to the Kato-class and thus generates an evolution family [35, Theorem 4.8] such that for each and
[TABLE]
It is easy to see that for each defines a backward evolution family with generator . This completes the proof since is arbitrary.
Denote by and the regularity spaces corresponding to and , repectively. Let and let and . Then for we have
[TABLE]
Integrating over and using that and are dense in yield the desired identity. ∎
3. Review on Autonomous boundary control and observation systems
Many systems governed by linear partial differential equations with inhomogeneous boundary conditions are described by an abstract boundary system of the form
[TABLE]
Here is a linear operator, , , the boundary operators and are linear such that , and , and are complex Hilbert spaces. We shall call the state space, the input space and the output space of the system.
In this section, we recall some well-known results on well-posedness of these system which are needed throughout this paper.
Definition 3.1**.**
Let and be given.
is called a classical solution of (28)-(29), if , for all and satisfies (28)-(29).
A pair is called a classical solution of (28)-(30), if is a classical solution of (28)-(29), and satisfies (30).
The system is called well-posed, if for any final time there exists such that for all classical solution of (28)-(30) we have
[TABLE]
Remark that, if , then is a classical solution of (28)-(30) if and only if is a classical solution of (28)-(29).
3.1. Existence of classical solutions
In order to study existence of classical solutions it is often useful to write the boundary control system (28)-(29) as a -well posed (inhomogeneous) autonomous Cauchy problem. We introduce the following definition which is based on Curtain and Zwart [9, Definition 3.3.2].
Definition 3.2**.**
The linear (autonomous) system (28)-(30) is called a boundary control and observation autonomous system, and we write is a BCO-system, if the following assertions hold:
The operator , called the main operator, defined by
[TABLE]
generates a strongly continuous semigroup on .
There exists a linear operator such that for all we have
[TABLE]
is a linear bounded operator, where is equipped with the graph norm.
In the following is assumed to be a BCO-system. The following remark will be very useful for non-autonomous boundary control systems.
Remark 3.3**.**
Let be a BCO-system. Then for each we have
[TABLE]
This is an easily consequence of Definition 3.2.
We denote by the extrapolation space associated to , i.e., the completion of with respect to the norm for some arbitrary . Let be the extension of to . It is well known that with domain generates a -semigroup on and for all the operator is the unique continuous extension of to . We associate with the linear operator called control operator defined by
[TABLE]
It turns out, that for sufficiently smooth initial data and inputs the two Cauchy problems
[TABLE]
and the BCO-system (28)-(30) are equivalent. More precisely, we have
Proposition 3.4**.**
Let such that . Then (28)-(29) has a unique classical solution given by
[TABLE]
Therefore, is the unique classical solution of (34) and is the unique classical solution of (33) with initial value .
Proof.
The proof follows from a combination of [17, Theorem 11.1.2] (see also [9, Theorem 3.3.3]) and [17, Corollary 10.1.4] taking Remark 3.3 into account. ∎
3.2. Scattering passive BCO-systems
Let be a BCO-system on and let , and . The admissible space is defined by
[TABLE]
Definition 3.5**.**
We say that is -scattering passive if
[TABLE]
and all classical solutions of (28)-(30). Further, is called (R,P,J)-scattering energy preserving if equality holds in (38). If and , then we simply say that is scattering passive (or dissipative).
Each -scattering passive boundary system is well-posed if and are invertible. This can be seen by using Gronwall’s Lemma (see the proof of Lemma 4.5). The following lemma characterizes -scattering passive BCO-systems. A comparable results has been proved in [23, Theorem 3.2, Proposition 5.2] for systems nodes.
Lemma 3.6**.**
The BCO-system is -scattering passive if and only if for each we have
[TABLE]
or equivalently,
[TABLE]
Then the BCO-system is -energy preserving if and only if equality holds in (39), or equivalently in (40).
Proof.
Obviously, the inequalities (39) and (40) are equivalent since for each . Assume that is -scattering passive. Let and such that . Assume that is a classical solution of (28)-(30) corresponding to . Then and
[TABLE]
for all . Inserting this into (38) yields
[TABLE]
for all . The previous inequality implies (39) by taking . The converse implication and the last assertion can be proved similarly. ∎
4. Non-autonomous boundary and observation systems
In this section, our aim is to extend the results of Section 3 to the more general case where , and are time dependent. Let and be Hilbert spaces over or . For each we consider the linear operators , and such that for each .
We consider the following abstract non-autonomous boundary system
[TABLE]
which we denote by .
Definition 4.1**.**
Let and be given.
A function is called a classical solution of (42)-(43), if , for all and satisfies (42)-(43).
A pair is a classical solution of (42)-(44), if is classical solution of (42)-(43), and satisfies (42)-(44).
is a non-autonomous boundary control and observation system, and we write NBCO-systems, if for each the autonomous system is a BCO-system such that the family of main operators generates an evolution family.
The non-autonomous system is called well-posed if for any final time there exists a constant such that for all classical solution of (42)-(44) we have
[TABLE]
4.1. Existence of classical solutions
Let be a NBCO-system. In this subsection, we study existence and uniqueness of classical solutions of without output, i.e., classical solution of (42)-(43). In the previous section we have seen in the autonomous case that (42)-(43) can be equivalently written as a -well-posed inhomogeneous Cauchy problem (in ) for sufficiently smooth initial data and inputs. This idea can be extended to the non-autonomous setting.
For each , we denote by the main operator of , and by the evolution family generated by . Further, according to Definition 4.1- there exists such that for all we have
[TABLE]
We also consider the time-dependent admissible spaces , i.e,
[TABLE]
Since generates an evolution family on , for a given the inhomogeneous non-autonomous Cauchy problem
[TABLE]
has at most one classical solution given by
[TABLE]
see e.g., [35, Section 5.5.1]. Thus the following proposition provides a generalization of [9, Theorem 3.3.3] (see also Proposition 3.6).
Proposition 4.2**.**
Assume that , and for each . Let such that . Then is a classical solution of (42)-(43) if and only if is a classical solution of (46)-(47) with inhomogeneity
[TABLE]
and initial data . Therefore, (42)-(43) has at most one classical solution given by
[TABLE]
for each .
Proof.
Let Clearly if and only if . Assume now that is a classical solution of (42)-(43). Then for every by Remark 3.3 and
[TABLE]
Thus is a classical solution of (46) with given by (48). The converse implication can be proved similarly. Finally, (49) follows by the above the remark. ∎
4.2. Scattering passive NBCO-systems
Let , and be continuous functions such that is strongly differentiable and , , for all .
Definition 4.3**.**
Let be classical solution of (42)-(44). Then is called (R,P,J)-scattering passive if for all
[TABLE]
Further, is called (R,P,J)-scattering energy preserving if equality holds in (50). If and then is called scattering passive, and scattering energy preserving if we have equality in (50).
We have seen in Section 3.2 that for autonomous BCO-systems the -scattering passivity can be characterized in terms of , and and -scattering passivity is a sufficient condition for well-posedness, if additionally and are invertible. Proposition 4.4 and Lemma 4.5 generalize this facts for non-autonomous boundary control and observation systems.
Proposition 4.4**.**
The following assertion are equivalent.
* is (R,P,J)-scattering passive.*
For each and all we have
[TABLE]
For each , the autonomous BCO-system is -scattering passive.
Proof.
The equivalence of and has been proved in Proposition 3.6. It remains to prove the equivalence of and . Assume that holds and let and let . Let such that . If is a classical solution of (42)-(44) corresponding to then and
[TABLE]
for all Inserting this into (50) yields
[TABLE]
for all . The last inequality by taking . Conversely, assume that holds and let be a classical solution of (42)-(44). Then and (52)-(53) holds for all This together with (51) imply (50), which completes the proof. ∎
Lemma 4.5**.**
Let be -scattering passive such that Assume that is strongly -continuous and uniformly coercive with
[TABLE]
for some constant Then each classical solution of (42)-(44) satisfies the following inequality
[TABLE]
where . Therefore, is well-posed provided that is uniformly coercive and .
Proof.
For the proof we follow a similar argument as in fourth steps of the proof of [29, Theorem 4.1]. Assume that is -scattering passive. Clearly (50) holds if and only if
[TABLE]
for all . Thus using (54) and that we obtain
[TABLE]
Applying Gronwall’s Lemma yields
[TABLE]
which implies (55). This completes the proof. ∎
4.3. Multiplicative perturbed of NBCO-systems
We will adopt the same notations of the previous sections. The main purpose of this section is the study of some classes of NBCO-systems which are governed by a time-dependent multiplicative perturbation. More precisely, let be a NBCO-system such that the boundary operators are constant, that is and for all . Thus the domain should also be constant and we set for all .
Further, throughout this section we assume that the following assumption holds:
Assumption 4.6**.**
- (1)
and be two self-adjoint and uniformly coercive functions. 2. (2)
and for each . 3. (3)
for each such that and commute.
For each we set
[TABLE]
We consider the following perturbed system
[TABLE]
which we denote by . Let be operators associated with provided by Definition 3.2- Then satisfies for each all properties listed in Definition 3.2-. Moreover, the main operators associated with are given by , where for each .
Lemma 4.7**.**
The perturbed system is -scattering passive if and only if is -scattering passive.
Proof.
For each we set
[TABLE]
Then, if and only if for all . Assume now that is -scattering passive and let . Using Proposition 4.4 we obtain
[TABLE]
This implies, again by Proposition 4.4, that is -scattering passive.
Conversely, assume that is -scattering passive. This means that is -scattering passive. Applying the first part of the proof yields that
[TABLE]
is -scattering passive. This completes the proof. ∎
In particular, the system is -scattering passive if and only if the unperturbed system is -scattering passive. According to the above assumptions, we remark that is a classical solution of (58)-(60) if and only if is a classical solution of (58)-(59).
Now we can formulate the first main result of this section.
Theorem 4.8**.**
Assume that the following additional assumptions holds
* is strongly -continuous.*
The main operators , generate contraction -semigroups.
* for each .*
Then the perturbed system is a NBCO-system on . Furthermore, if we denote by the associated evolution family, then for each and with the system (58)-(60) has a unique classical solution given by
[TABLE]
The system is well-posed if in addition
[TABLE]
for all and where and is uniformly coercive, where
[TABLE]
Proof.
The first and the second assertion follow from Proposition 4.2 and Corollary 2.8, whereas the last assertion follows from Lemma 4.7, Proposition 4.4 and Lemma 4.5. ∎
Next we consider the case where with is as in Assumption 4.6 and such that is an autonomous BCO-system. This implies that is again an autonomous BCO-system for each such that the associated operator is time-independent. In fact, if denotes the operator associated with the autonomous BCO-system , then it is easy to see that satisfies all properties listed in Definition 3.2- corresponding to We consider the following perturbed system
[TABLE]
which we denote by .
Clearly, the main operators associated with are given by
Theorem 4.9**.**
Assume that the main operators generate a contraction -semigroup on Then the perturbed system is a NBCO-system on . Furthermore, if we denote by the associated evolution family, then for each and with the system (62)-(64) has a unique classical solution given by
[TABLE]
The system is well-posed if in addition
[TABLE]
for all and where and is uniformly coercive.
Proof.
The first and the second assertion follow from Proposition 4.2 and Corollary 2.9, whereas the last assertion follows from Lemma 4.7, Proposition 4.4 and Lemma 4.5. ∎
Remark 4.10**.**
Theorem 4.9 is not a special case of Theorem 4.8 since we do not assume that generates a contractive -semigroup on
5. Mild solutions for NBC-systems
As mentioned in Section 3, for an autonomous BCO-system , for smooth input and initial data , the classical solution of the corresponding boundary control system can be formulated as
[TABLE]
We recall that is given by (32). If and , then the above formula makes sense and it is called the mild solution in of (28)-(30). Moreover, it is well known that the mild solution belongs to if is admissible for the semigroup i.e., if for some one has
[TABLE]
see, e.g., [33, Proposition 4.2.4].
The main purpose of this section is to extend the conceps of mild solutions to non-autonomous boundary control and observation systems . In contrast to the autonomous case, this is more delicate. In fact, firstly we remark that the extrapolation spaces associated with the family of the main operators are in general time-dependent. Secondly, in contrast to semigroups, it is not clear whether the evolution family generated by can be extended to the extrapolation space even if the spaces are constant. However, if the latter condition holds, then we can still use the adjoint problem, i.e, , , and the associated backward evolution family to extend to . The idea to use a duality argument can be found in [7, 25, 29] to study some classes of non-autonomous systems.
We will adopt here the notations of the previous sections. Let be a NBCO-system. Then the main operators generate, by definition, an evolution family with regularity space , . We restrict ourselves to case where have a common extrapolation space , i.e.,
[TABLE]
According to [33, Proposition 2.10.2], (67) holds if and only if for and the corresponding graph norms are locally uniformly equivalent. In fact, is the dual space of with respect to the pivot space . This condition holds, if for instance or and .
In the following we denote equipped with the graph norm and by the duality between and . Recall from (32)
[TABLE]
Proposition 5.1**.**
Assume that generates a backward evolution family . Then has a unique extension for each and for each there is such that
[TABLE]
Moreover, if the assumptions of Proposition 4.2 hold, then each classical solution of the boundary control system (42)-(43) satisfies
[TABLE]
Proof.
By [33, Proposition 2.9.3-(b)] we obtain that for each the operator has a unique extension since . Next, similar to the proof of [29, Proposition 2.7-(c)] we show the uniform boundedness of on compact intervals. Next, we claim that for each we have
[TABLE]
In fact, this equality holds for by Lemma 2.12- since
[TABLE]
Remark that , thus the claim follows since is dense in .
Using again Lemma 2.12 and (71), we obtain for each
[TABLE]
Integrating over , we obtain
[TABLE]
Inserting this equality in (49), we obtain that a classical solution of (42)-(43) satisfies (70). ∎
If the assumptions of Proposition 5.1 hold, then for and we see that (70) is well defined with value in provided . In fact, (69) guaranties that the integral term on the right hand side of (73) is well defined. Thus the following definition makes sense.
Definition 5.2**.**
Let be a NBCO-system and let and the associated evolution family and control operators, respectively. Let . If has a unique extension for each such that , then the function
[TABLE]
is called the mild solution of (42)-(44) in . Further, (73) is called a mild solution of (42)-(44) (in ), if in addition
[TABLE]
and .
This definition is related to the notion of admissibility for non-autonomous linear systems. More precisely, recall that a family is -admissible for a given evolution family that admit an extension to if , (74) holds and for each there exists such that
[TABLE]
for each and all [28, Definition 3.3]. For -admissible control operators we have that is continuous on with value in [28, Proposition 3.5-(2)].
Proposition 5.3**.**
Assume that belongs to the Kato-class and is -admissible. Then for each with the system (42)-(44) has a unique mild solution in .
Proof.
The proof follows from Lemma 2.12- and Proposition 5.1. ∎
If is a well-posed NBCO-system and the classical solutions is given by (70), then the corresponding family is -admissible provided
[TABLE]
Thus the following corollary follows from Proposition 5.3, Lemma 4.5 and (69).
Corollary 5.4**.**
Assume is -scattering passive such that and are uniformly coercive. In addition, we assume that belongs to the Kato-class. Then for each with the system (42)-(44) has a unique mild solution in .
Finally, if Assumption 4.6 holds such that generates contractive -semigroup on for each then we can follow [29, Section 2, page 8] to deduce that the extrapolation spaces corresponding to , can be all identified with and that for every .
Corollary 5.5**.**
Assume that Assumption 4.6 holds such that the adjoint operators have a common domain. Then the perturbed system (58)-(59) has a unique mild solution in if the unperturbed system is -scattering passive with and are uniformly coercive.
Proof.
The proof is an easy consequence of Corollary 5.4 and Lemma 4.7. ∎
6. Application to non-autonomous Port-Hamiltonian systems
Let be fixed and let where or . In this section we investigate the well-posedness of the linear non-autonomous port-Hamiltonian systems of order , given by the boundary control and observation system
[TABLE]
Here denotes the trace operator defined by
[TABLE]
is matrix for all , , for all and almost every , is a -matrix, is -matrix and is a -matrix. Finally, denotes the input and is the output at time .
Set , and for each we set
[TABLE]
and .
In this section we assume the following assumptions:
Assumption 6.1**.**
- •
has full rank and for all .
- •
is invertible and for all , ,
- •
for all and .
- •
and there exist such that
[TABLE]
Under these assumptions, the port-Hamiltonian system (76)-(80) can be written as a non-autonomous boundary control and observation system in the sense of Definition 4.1-. In fact, on the Hilbert space we consider the (maximal) port-Hamiltonian operators
[TABLE]
Then is a closed and densely defined operator and its graph norm is equivalent to the Sobolev norm as is invertible. Moreover, for each the operator defined by
[TABLE]
generates a contractive -semigroup on . Further, we define the input operator and output operator a follows
[TABLE]
and
[TABLE]
The operator is a linear and bounded operator from to , since the trace operator is bounded and the norm graph norm of is equivalent to the -norm. Moreover, Lemma 6.2 below shows that there exists an operator which is independent of satisfying the assumption of Definition 3.2. The proof of this fact follows by a minor modification of the proof of [17, Theorem 11.3.2] and that of [2, Lemma 3.2.19] (see also the second step of the proof of [22, Theorem 4.2]).
Lemma 6.2**.**
There exists a linear operator such that for each and
Proof.
Since the -matrix has full rank there exists a -matrix such that
[TABLE]
In fact, one can choose as follows
[TABLE]
Let us write where are matrices.
Next, let be the standard orthogonal basis in For each we take such that [37, Lemma A.3], and we define the operator by
[TABLE]
Thus Furthermore, (84) implies that and thus
[TABLE]
for every We deduce that for all It follows that is for each a BCO-system on . Using (84) once more, we obtain that
[TABLE]
for all This completes the proof. ∎
Moreover, if in addition the following assumption holds
Assumption 6.3**.**
- •
(and thus or equivalently ),
- •
and are bounded and self adjoint operators on ,
- •
for all and a.e. ,
- •
the matrix has full rank,
then we obtain:
Lemma 6.4**.**
Under assumptions 6.3 and 6.1 for each the autonomous port-Hamiltonian system is -scattering passive if
[TABLE]
Proof.
Using [2, Lemma 3.2.13] we obtain
[TABLE]
Inserting
[TABLE]
into (87) we obtain that
[TABLE]
holds for every , since . Now the claim follows by Lemma 3.6. ∎
Finally, the assumption on ensures that the family of operators as matrix multiplication operators on satisfies all assumptions of Section 4.3.
Our abstract results in the previous sections hence yield the following main result.
Theorem 6.5**.**
If Assumption 6.1 holds, then the port-Hamiltonian system (76)-(80) is a non-autonomous boundary control and observation system. Furthermore, there exists a unique evolution family in such that for each and with, and we have
[TABLE]
[TABLE]
is the unique classical solution of (76)-(80). If in addition Assumption 6.3 and (86) hold, then (76)-(80) is -scattering passive and the classical solution satisfies the balance inequality
[TABLE]
where . Moreover, (76)-(80) is well posed if in addition is uniformly coercive and .
Finally, we give a result on the existence of mild solution of the non-autonomous port-Hamiltonian system. For that we assume that . Then it is known [22, Lemma A1] (see also [17, Section 7.3]) that there exist a matrix and an invertible matrix such that
[TABLE]
with . Further, we have . For each , the adjoint operator of (82)-(83) is given by
[TABLE]
see e.g., [36, Theorem 2.24], [2, Proposition 3.4.3]. We deduce that the domain of are time-independent if for instance all matrices are constant. Thus using Corollary 5.5 we obtain the followin proposition.
Proposition 6.6**.**
Assume that Assumption 6.1 and Assumption 6.3 hold with are constant and is uniformly coercive and . If (86) holds, then the non-autonomous system (76)-(79) has a unique mild solution.
We closed this section by some examples of physical systems which can be modelled as a non-autonomous port-Hamiltonian system. Then the existence of classical and mild solutions as well as well-posedness can be checked by a simple application of the abstracts results presented in this section. Here we will present just two relevant examples, however various other control systems fit into the framework of port-Hamiltonian system and into the general class of NBCO-systems.
6.1. Vibrating string
Let us consider the model of vibrating string on the compact interval . The string is fixed at the left end point and at the right end point a damper is attached. The Young’s modulus and the mass density of the string are assumed to be time- and spatial dependent. Let us denote by the vertical position of the string at position and time . Then the evolution of the controlled vibrating string can be modelled by a non-autonomous wave equation of the form
[TABLE]
We assume that and such that for some , for a.e and all we have , moreover, is strictly positive. We take as state variable the momentum-strain couple . Then the first equation can be equivalently written as follows
[TABLE]
where
[TABLE]
Indeed, we have
[TABLE]
Moreover, the boundary conditions (94)-(93) with can be equivalently written as follows
[TABLE]
The matrix has full rank. Next,
[TABLE]
and . The corresponding matrices and the corresponding boundary operator can be defined as follows:
Case and
[TABLE]
Case and
[TABLE]
For each such that is invertible and we can we take
[TABLE]
as an output of (94)-(93). Thus, we are in the position to apply Theorem 6.5. However, Proposition 6.6 concerning mild solutions can be applied only if is constant.
Proposition 6.7**.**
Under the conditions on the physical parameters listed above we have:
- (1)
The abstract linear system associated with the controlled vibrating string (92), (94) with output (96) yields a non-autonomous boundary control and observation system on if , i.e., when the string is clamped at the end point and in if 2. (2)
Let be such that and . Then (92)-(94) with output equation (96) and initial conditions
[TABLE]
has a unique solution such that and
[TABLE] 3. (3)
Let Let be self adjoint -matrices such that and for all and some constant Choose in (96) such that (86) holds for all Then the linear system associated with the non-autonomous controlled vibrating string (92)-(94) and (96) is a well-posed non-autonomous boundary control and observation system. 4. (4)
Assume that is constant such that the assumptions in hold. Let Then (92)-(94) with initial conditions
[TABLE]
has a unique (mild) solution such that
[TABLE]
6.2. Timoschenko beam
Consider the following model of the Timoshenko beam with time-dependent coefficient and time dependent boundary control
[TABLE]
[TABLE]
for some positive constants . Here , , is the transverse displacement of the beam and is the rotation angle of the filament of the beam. We assume that , , , and there exists such that for a.e and all we have
[TABLE]
where and are strictly positive. Moreover, are strictly positive.
Indeed, taking as state variable one can easily see that (97)-(98) can be written as a system of the form (76)-with
, and .
The boundary condition can be formulated as follows
[TABLE]
Thus has full rank and the corresponding matrix is given by
[TABLE]
Thus . As in Example 6.1, the output equation can be choosing similarly as (96). Thus the above Timoshenko beam fit into the framework of port-Hamiltonian system and thus one obtain a similar results to that presented in Proposition 6.7.
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