Abstract
Symmetry in systems arises as a result of natural design and provides a pivotal mechanism for crucial system properties. In the field of control theory, scattered research has been carried out concerning the control of group-theoretic symmetric systems. In this manuscript, the principles of stochastic analysis, the fixed-point theorem, fractional calculus, and multivalued map theory are implemented to investigate the null boundary controllability (NBC) of stochastic evolution inclusion (SEI) with the Hilfer fractional derivative (HFD) and the Clarke subdifferential. Moreover, an example is depicted to show the effect of the obtained results.
Keywords:
fractional stochastic evolution inclusions; boundary controllability; multivalued map theory MSC:
26A33; 34G25; 93B05
1. Introduction
In recent decades, one of the areas of great concentration in the scientific community has been fractional differential equations and fractional differential inclusions (see [1,2,3]). Real-world phenomena, such as population growth, stock prices, the weather-prediction model, and heat conduction in materials with memory, are affected by random influences. As a result of noise, deterministic models frequently change. Naturally, such models must be extended to include stochastic models, in which the relevant parameters are regarded as suitable Brownian motion and stochastic process. Stochastic differential equations, as opposed to deterministic equations, are used to model the majority of issues that arise in real-world settings (see [4,5,6,7]). Many systems, such as physical, chemical, and biological systems, exhibit natural symmetry. Stochastic differential equations play an important role in explaining some symmetry phenomena (see [8,9,10]). Evolution inclusions, and the generalization of evolution equations and inequalities, have been used in different fields (see [11,12,13]. Stochastic evolution inclusions are a combination of deterministic evolution inclusions and a noise term (see [14,15,16,17,18,19,20,21]). One of the fundamental concepts of contemporary control theory is the idea of a dynamical system being controllable. In general, controllability is the capability of a control system to be directed from an arbitrary initial state to a likewise arbitrary final state through a permitted set of controls. Significant consequences for the behavior of linear and nonlinear dynamical systems are drawn from this idea (see [22,23,24,25,26,27,28,29]). Previously, few researcher’s studied the boundary controllability, for example, Kumar et al. [30] explored the sufficient conditions for the boundary controllability of nonlocal impulsive neutral integrodifferential evolution equations by using Sadovskii’s fixed-point theorem. Carreno et al. [31] studied the boundary controllability of a cascade system coupling fourth-and second-order parabolic equations. Ahmed et al. [32] established the sufficient conditions for the approximate and null boundary controllability of nonlocal Hilfer fractional stochastic differential systems with fractional Brownian motion and Poisson jumps by using the Schauder fixed-point theorem. Lizzy and Balachandran [33] studied the boundary controllability of nonlinear stochastic fractional systems in Hilbert spaces. Ma et al. [34] discussed the boundary controllability of nonlocal fractional neutral integrodifferential evolution systems. To our best knowledge, there are no results on the null boundary controllability of nonlocal SEI with the HFD and the Clarke subdifferential. This work aims to address this gap.
Now, consider nonlocal SEI with the HFD and the Clarke subdifferential where the control is on the boundary as:
where is the HFD of order and is the bounded linear operator and the linear operator from into where is separable Hilbert space. stands for a bounded linear operator from into where and are the Hilbert space. The state takes values in . Let be a linear operator defined by for
Let be the -valued Brownian motion with a finite trace nuclear covariance operator defined on a complete probability space with a normal filtration satisfying that contains all P-null sets of . Additionally, for where is the space of all bounded linear operators from into . denotes Clarke’s subdifferential of . The control function is given in , the Hilbert space of admissible control functions with a Hilbert space . , a non-empty, bounded, closed, and convex (BCC) multivalued map, and are nonlinear functions and . Let be the space of all -Hilbert-Schmidt operators from to .
The main contributions of the current work:
- Nonlocal fractional stochastic differential inclusion with the Clarke subdifferential and control on the boundary is introduced.
- We establish a set of sufficient conditions that demonstrate the null boundary controllability for (1).
- An example is provided to show the effect of the results obtained.
2. Preliminaries
Definition 1
([35,36]). The HFD of order and for a function can be defined as
where
Let be the Banach space of all continuous functions from into with where denotes a Hilbert space of strongly -measurable, -valued random variables satisfying will denote the Hilbert space of all random processes -adapted measurable defined on with values in Ξ with the norm
In the present paper, let where .
Definition 2
(see [37]). Let be a locally Lipschitz functional on , where is a Banach space with is the dual space. Clarke’s generalized directional derivative of Υ at in the direction is defined by
Clarke’s generalized gradient of Υ at denoted by is a subset of given by
Definition 3
(see [38]). A Family in is called equicontinuous if for every there is a , such that ∀ with and all
The following hypotheses are necessary to prove the main results.
and the restriction of to is continuous relative to graph norm of
∃ a linear continuous operator such that for all we have
and where is a constant.
is the infinitesimal generator of compact semigroup of bounded operator in and there exists such that .
∀ and Moreover, such that
is locally Lipschitz continuous (LLC), ∀ such that
is LLC, ∀ such that
satisfies the following:
is measurable ∀
is LLC for a.e.
∃ a function and a constant satisfying
for all a.e. and .
is continuous, for any such that
Let is the solution of (1). Then, we define
We see that, from our hypotheses, Hence, (1) can be expressed in terms of and in the form:
Hence, the integral inclusion of (1) is given by
Lemma 1
(see [32]). If the integral inclusion (2) holds, then the mild solution of (1) is given by
where
with
Lemma 2
(see [39]). The operators and satisfy the following:
(i) is continuous in the uniform operator topology.
(ii) and are linear bounded operators, and
(iii) are strongly continuous, for .
Lemma 3
(see [32]). if is satisfied.
Now, we define an operator as follows:
a.e. for
Lemma 4
(see [37]). ∀ the set has nonempty, convex, and weakly compact values, provided that is realized.
Lemma 5
(see [37]). The operator satisfies: if in weakly in and then provided that is satisfied.
Theorem 1
(see [40]). Assume that is a locally convex Banach space and is a compact convex-valued (CCV), upper semicontinuous multi-valued map such that there a closed neighbourhood of 0 exists for which is a relatively compact set. If the set for some is bounded, then has a fixed point.
3. Main Result
To investigate the NBC for (1), we consider linear SEI with the HFD and the control on the boundary
associated with the system (1).
Consider
where has a bounded inverse operator with values in , and
Definition 4
(see [41]). (3) is said to is exactly null controllable on if or ∃ a such that for all .
Lemma 6
(see [42]). Suppose that (3) is exactly null controllable on . Hence, is bounded and the control
transfers (3) from to 0, where is the restriction of to
Definition 5
(see [42]). The problem (1) is said to be exact null controllable on the interval if a stochastic control exists such that the solution of (1) satisfies .
To prove the null boundary controllability, we need the following hypothesis:
The fractional linear system (3) is exactly null controllable on .
Theorem 2.
If – are satisfied, then (1) is exactly null controllable on provided that
Proof.
Consider the map as follows:
where
Now, we demonstrate that has a fixed point, so we subdivided the proof into six steps.
S1: ∀ , are nonempty, convex, and weakly compact values.
Lemma 4 can be used to see that has nonempty and weakly compact values. Furthermore, has convex values; so that if then ∀ which implies that is convex.
S2: is bounded on a bounded subset of .
Clearly, is a BCC set of
We can prove that ∀
If then ∃ a such that
Then,
Hence, is bounded in
S3: is equicontinuous.
For any a such that (4) holds ∀
For we can obtain
From the compactness of , the above inequality tends to zero as Thus, is continuous from the right in . Additionally, for and we can prove that as
As a result, is equicontinuous.
S4: is completely continuous.
We show that the set is relatively compact in ∀
Undoubtedly, is relatively compact in Let be fixed, ; for , we define
Since is a compact operator. Hence, is relatively compact in Furthermore, we have
as .
Therefore, the set is relatively compact in From the Arzela–Ascoli theorem and Step 3, we can deduce that is completely continuous.
S5: has a closed graph.
Let in , and in We will deduce that
Actually, implies that ∃ a such that
From – we can deduce that is bounded. Hence, we obtain
weakly in
From the compactness of , (5), and (6), we obtain
Applying that in and From (7) and Lemma 5, we obtain Therefore, it can demonstrated that ; then, has a closed graph and is a completely continuous multi-valued map with compact value. Thus, from [28], is upper semicontinuous.
S6: A priori estimate.
From S1–S5, we found that is CCV and upper semicontinuous and is relatively compact. By Theorem 1, it remains to demonstrated that
is bounded. ∀ ∃ a such that
Applying the hypotheses – we obtain
where
and
Since from (9), we obtain
Then, , consequently, is bounded. By Theorem 1, has a fixed point. Any fixed point of is a mild solution of (1) on . Therefore, the inclusion system (1) is exact null controllable on . □
4. Application
We consider the stochastic partial differential inclusions with the HFD and Clarke subdifferential via the nonlocal condition:
where denotes the temperature at the time , is the HFD of order , ; ℧ is an open subset of and bounded with is a Brownian motion; and ⅁ is a sufficiently smooth boundary. The functions and
Suppose the identity operator, and is given by with are absolutely continuous,
Then, can be written as
where is the orthonormal base set of eigenvectors of
Moreover, for we have
Clearly, generates a compact semigroup on Now, (10) can be written in the abstract form of (1), and all of the assumptions of Theorem 2 are verified and
Thus, (10) is null controllable on
5. Conclusions
The fractional calculus has many diverse and potential applications in all areas of science and engineering. A new control model is presented with the HFD including the continuous stochastic noises and generalized gradient of Clarke’s subdifferential. In this paper, we investigated the null boundary controllability of SEI with the HFD and Clarke subdifferential via nonlocal conditions. Our results were obtained with the aid of non-smooth analysis, fractional calculus, the Clarke subdifferential, stochastic analysis, and fixed-point theorems. Finally, an example was provided to illustrate the developed theoretical results. This helps to establish the results numerically with simulation, and one can give an application in the numerical null controllability using the developed result. In the future, we will study the optimal control problem for the Hilfer fractional stochastic differential inclusions with Sobolev-type and Poisson jumps.
Author Contributions
H.M.A. and M.M.E.-B. methodology, validation, and supervision; W.G.E.-S. writing—original draft preparation, writing—review and editing; and A.Y.E. formal analysis, investigation, and resources. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Data Availability Statement
Not applicable.
Conflicts of Interest
The authors declare no conflict of interest.
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