Abstract
This paper gives the null controllability for nonlocal stochastic differential inclusion with the Hilfer fractional derivative and Clarke subdifferential. Sufficient conditions for null controllability of nonlocal Hilfer fractional stochastic differential inclusion are established by using the fixed-point approach with the proof that the corresponding linear system is controllable. Finally, the theoretical results are verified with an example.
Keywords:
Hilfer fractional derivative; stochastic differential inclusions; null controllability; Clarke subdifferential MSC:
34A08; 39A50; 34K35
1. Introduction
The controllability of various deterministic and stochastic control systems has been investigated in many works (see [1,2,3,4,5,6,7,8,9]). It should be emphasized that there are many different notions of controllability for fractiona-evolution systems—for example, approximate controllability, complete controllability, null controllability, and so on. However, most work on controllability has focused on deterministic models rather than stochastic models. However, deterministic models often fluctuate due to the presence of environmental noise. It is reasonable and practical to import stochastic effects into investigations with deterministic models. In recent years, fractional stochastic differential equations and fractional stochastic inclusions have attracted the attention of many researchers and have become increasingly popular due to their practical applications in various fields of science and engineering (see [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24]). Moreover, Hilfer proposed a generalized Riemann–Liouville fractional derivative—for brevity, this is called the Hilfer fractional derivative—which includes the Riemann–Liouville fractional derivative and Caputo fractional derivative (see [25,26]). Subsequently, a few authors have studied the controllability of fractional stochastic differential inclusions involving Hilfer fractional derivatives—for example, Yang and Wang [27] studied the approximate controllability of Hilfer fractional differential inclusions with nonlocal conditions. Dineshkumar et al. [28] discussed the approximate controllability of Sobolev-type Hilfer neutral fractional stochastic differential inclusions. However, no work has been reported in the literature regarding the null controllability of nonlocal stochastic differential inclusion with the Hilfer fractional derivative and Clarke subdifferential. In order to complete this part, in the present work, we analyze the following system:
where is the Hilfer fractional derivative, and ℧ is the infinitesimal generator of a compact semigroup in Hilbert space where
In this paper, there exists a separable Hilbert space ℑ with norm and inner product . Assume that is an ℑ-valued Wiener process with a finite trace nuclear covariance operator is the space of all bounded linear operators from into , and Clarke’s subdifferential of is (see [21]). takes values in , the function of the control is for the Hilbert space of admissible control functions, where F is a Hilbert space, and is a bounded linear operator from F into . is a non-empty, bounded, closed, convex, and multivalued map, , and . In the current paper, the space of all -Hilbert–Schmidt operators from to is .
2. Preliminaries
Definition 1
([25,26]). The Hilfer fractional derivative of order and is defined as
where
and is the Gamma function.
Let be a complete probability space and let be a Banach space with norm where . Let be the Hilbert space of all random processes that are -adapted measurable as defined on with values in Λ and the norm
Definition 2
([28]). Let be a Banach space with the dual spaces and which is a locally Lipschitz functional on . Clarke’s generalized directional derivative of at the point in the direction is defined by
Clarke’s generalized gradient of at is given by
Definition 3
Lemma 1
([26]). The operators and have the following properties:
- (i)
- is continuous in the uniform operator topology.
- (ii)
- For any fixed and are linear and bounded operators, and
- (iii)
- and are strongly continuous.
Some assumptions are considered to establish the null controllability criteria for the nonlinear system (1):
- (A1)
- Let for all on where .
- (A2)
- is locally Lipschitz continuous for all such that
- (A3)
- is locally Lipschitz continuous for all and there exist constants such that
- (A4)
- such that:
- (Ⅰ)
- is measurable
- (Ⅱ)
- is locally Lipschitz continuous for
- (Ⅲ)
- ∃ a function , which satisfiesa.e. and .
- (A5)
- is continuous, for any , such that
Now, we define an operator as follows: a.e. for
Lemma 2
([28]). The set has nonempty, convex, and weakly compact values for and if holds.
Lemma 3
([30]). If holds, the operator satisfies the following: If in is weakly in and then
3. Main Result
To prove the null controllability criteria for the nonlinear system (1), we present the linear Hilfer fractional stochastic differential equation as follows:
which is associated with the system (1)
Consider
where has a bounded inverse operator with values in , and
Definition 4
([31]). The linear system (3) is exactly null controllable on if such that .
Lemma 4
Definition 5
([30]). The system (1) is exact null controllable on if ∃ a stochastic control such that the solution of (1) satisfies .
To establish the null controllability, we add the following assumption:
- (A6)
- The fractional linear system (3) is exactly null controllable on .
Definition 6.
If the assumptions – hold, then the system (1) is exactly null controllable on provided that
Proof.
We define as follows:
where
□
In the following steps, we show that has a fixed point:
- Step 1: For each , has nonempty, convex, and weakly compact values.According to Lemma 2.2, it is easy to see that has nonempty and weakly compact values. Moreover, as has convex values, if , then which clearly implies that is convex.
- Step 2: The operator is bounded on a bounded subset of .Let us consider . It is obvious to conclude that is a bounded, closed, and convex set of . We claim that there exists a constant such that for eachIf then there exists a such thatFrom – and Lemma 1, we getThus, is bounded in
- Step 3: The set is equicontinuous.For any there exists a such that (4) holds for eachFor we getSince is compact, then, the right-hand side of (5) tends to zero as Thus, is continuous in . In addition, for and with respect to asHence, we conclude that is equicontinuous in .
- Step 4: is completely continuous.We show that ∀ the set is relatively compact in . Clearly, is compact. Let be fixed, for and we defineSince is a compact operator, the set is relatively compact in In addition, we haveWe see that when and , the inequality (6) tends to zero. Thus, the set is relatively compact in Hence, from Step 3 and the Arzela–Ascoli theorem, is completely continuous.
- Step 5: has a closed graph.Let us consider in , and in We will prove thatActually, shows that there exists a such thatFrom – it is easy to verify that is bounded. Then, we getConcentrating on in and , from (9) and Lemma 3, we can get Therefore, we can show that which shows that has a closed graph. By using Proposition 3.3.12(2) of [30], we find the conclusion that is upper semicontinuous.
- Step 6: An a priori estimate.From previous steps, we found that is compact convex valued and upper semicontinuous and that is relatively compact. By Theorem 2.10 from [29], we can prove that the set is bounded.Let us consider and assume that there occurs a such thatFrom – and Lemma 1, we can getwhereandSince from we obtain
4. Example
The following control system is described by Hilfer fractional stochastic partial differential inclusions with the Clarke subdifferential and nonlocal conditions:
where is the Hilfer fractional derivative of order , , and is a Wiener process. The functions are defined as , and The bounded linear operator is defined by .
Let , and let the operator be given by , with being absolutely continuous,
Then, ℧ can be written as
where is the orthogonal set of eigenvectors of
Furthermore, for , we have
The operator ℧ is the infinitesimal generator of a compact semigroup in From the above choice, the system (12) can be written in the abstract form of (1), all assumptions of Theorem 4 are satisfied, and
Thus, the system (12) is null controllable on
5. Conclusions
In this paper, a control system described by Hilfer fractional stochastic differential inclusions with the Clarke subdifferential and nonlocal conditions was presented. By using the fixed-point technique, fractional calculus, stochastic analysis, properties of the Clarke subdifferential, and non-smooth analysis, the null controllability of the considered system was investigated. Moreover, we provided an example in order to illustrate the applicability of the results.
In future work, we can present the boundary null controllability of non-instantaneous impulsive fractional stochastic evolution inclusions.
Author Contributions
H.M.A. and M.M.E.-B.: methodology, validation, and supervision; W.E.-S.: writing—original draft preparation and writing—review and editing; A.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.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Not applicable.
Conflicts of Interest
The authors declare no conflict of interest.
References
- Dineshkumar, C.; Udhayakumar, R. Results on approximate controllability of fractional stochastic Sobolev-type Volterra–Fredholm integro-differential equation of order 1<r<2. Math. Methods Appl. Sci. 2022, 45, 6691–6704. [Google Scholar]
- Priyadharsini, J.; Balasubramaniam, P. Controllability of fractional noninstantaneous impulsive integrodifferential stochastic delay system. IMA J. Math. Control Inf. 2021, 2, 654–683. [Google Scholar] [CrossRef] [Scilit]
- Sathiyaraj, T.; Wang, J.; Balasubramaniam, P. Controllability and optimal control for a class of time-delayed fractional stochastic integro-differential systems. Appl. Math. Optim. 2021, 3, 2527–2554. [Google Scholar] [CrossRef] [Scilit]
- Dhayal, R.; Malik, M. Existence and controllability of impulsive fractional stochastic differential equations driven by Rosenblatt process with Poisson jumps. J. Eng. Math. 2021, 130, 11. [Google Scholar] [CrossRef] [Scilit]
- Ahmed, H.M. Controllability of fractional stochastic delay equations. Lobachevskii J. Math. 2009, 30, 195–202. [Google Scholar] [CrossRef] [Scilit]
- Wang, J.; Ahmed, H.M. Null controllability of nonlocal Hilfer fractional stochastic differential equations. Miskolc Math. Notes 2017, 18, 1073–1083. [Google Scholar]
- Alnafisah, Y.; Ahmed, H.M. Null controllability of Hilfer fractional stochastic integrodifferential equations with noninstantaneous impulsive and Poisson jump. Int. J. Nonlinear Sci. Numer. Simul. 2021. [Google Scholar] [CrossRef] [Scilit]
- Yan, Z.; Zhou, Y.H. Optimization of exact controllability for fractional impulsive partial stochastic differential systems via analytic sectorial operators. Int. J. Nonlinear Sci. Numer. Simul. 2021, 22, 559–579. [Google Scholar] [CrossRef] [Scilit]
- Wang, J.; Sathiyaraj, T.; O’Regan, D. Relative controllability of a stochastic system using fractional delayed sine and cosine matrices. Nonlinear Anal. Model. Control 2021, 26, 1031–1051. [Google Scholar] [CrossRef] [Scilit]
- Luo, D.; Tian, M.; Zhu, Q. Some results on finite-time stability of stochastic fractional-order delay differential equations. Chaos Solitons Fractals 2022, 158, 111996. [Google Scholar] [CrossRef] [Scilit]
- Luo, D.; Zhu, Q.; Luo, Z. A novel result on averaging principle of stochastic Hilfer-type fractional system involving non-Lipschitz coefficients. Appl. Math. Lett. 2021, 122, 107549. [Google Scholar] [CrossRef] [Scilit]
- Luo, D.; Zhu, Q.; Luo, Z. An averaging principle for stochastic fractional differential equations with time-delays. Appl. Math. Lett. 2020, 105, 106290. [Google Scholar] [CrossRef] [Scilit]
- Moghaddam, B.P.; Lopes, A.M.; Machado, J.A.T.; Mostaghim, Z.S. Computational scheme for solving nonlinear fractional stochastic differential equations with delay. Stoch. Anal. Appl. 2019, 37, 893–908. [Google Scholar] [CrossRef] [Scilit]
- Sakthivel, R.; Revathi, P.; Ren, Y. Existence of solutions for nonlinear fractional stochastic differential equations. Nonlinear Anal. Theory, Methods Appl. 2013, 81, 70–86. [Google Scholar] [CrossRef] [Scilit]
- Ahmed, H.M. Conformable fractional stochastic differential equations with control function. Syst. Control Lett. 2021, 158, 105062. [Google Scholar] [CrossRef] [Scilit]
- Balasubramaniam, P.; Kumaresan, N.; Ratnavelu, K.; Tamilalagan, P. Local and Global Existence of Mild Solution for Impulsive Fractional Stochastic Differential Equations. Bull. Malays. Math. Sci. Soc. 2014, 38, 867–884. [Google Scholar] [CrossRef] [Scilit]
- Ahmed, H.M. Sobolev-type fractional stochastic integrodifferential equations with nonlocal conditions in Hilbert space. J. Theoret. Probab. 2017, 30, 771–783. [Google Scholar] [CrossRef] [Scilit]
- Li, L.; Liu, J.G.; Lu, J. Fractional stochastic differential equations satisfying fluctuation-dissipation theorem. J. Stat. Phys. 2017, 169, 316–339. [Google Scholar] [CrossRef] [Scilit]
- Lv, J.; Yang, X. A class of Hilfer fractional stochastic differential equations and optimal controls. Adv. Differ. Equ. 2019, 2019, 17. [Google Scholar] [CrossRef] [Scilit]
- dos Santos Lima, L. Fractional Stochastic Differential Equation Approach for Spreading of Diseases. Entropy 2022, 24, 719. [Google Scholar] [CrossRef] [Scilit]
- Omar, O.A.; Elbarkouky, R.A.; Ahmed, H.M. Fractional stochastic models for COVID-19: Case study of Egypt. Results Phys. 2021, 23, 104018. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Atangana, A.; Bonyah, E. Fractional stochastic modeling: New approach to capture more heterogeneity. Chaos: Interdiscip. J. Nonlinear Sci. 2019, 29, 013118. [Google Scholar]
- Omar, O.A.; Elbarkouky, R.A.; Ahmed, H.M. Fractional stochastic modelling of COVID-19 under wide spread of vaccinations: Egyptian case study. Alex. Eng. J. 2022, 61, 8595–8609. [Google Scholar] [CrossRef] [Scilit]
- Li, Y.X.; Lu, L. Existence and controllability for stochastic evolution inclusions of Clarke’s subdifferential type. Electron. J. Qual. Theory Differ. Equ. 2015, 2015, 1–16. [Google Scholar] [CrossRef] [Scilit]
- Hilfer, R. Applications of Fractional Calculus in Physics; World Scientific: Singapore, 2000. [Google Scholar]
- Gu, H.; Trujillo, J.J. Existence of mild solution for evolution equation with Hilfer fractional derivative. Appl. Math. Comput. 2015, 257, 344–354. [Google Scholar] [CrossRef] [Scilit]
- Yang, M.; Wang, Q. Approximate controllability of Hilfer fractional differential inclusions with nonlocal conditions. Math. Methods Appl. Sci. 2016, 40, 1126–1138. [Google Scholar] [CrossRef] [Scilit]
- Lu, L.; Liu, Z.; Bin, M. Approximate controllability for stochastic evolution inclusions of Clarke’s subdifferential type. Appl. Math. Comput. 2016, 286, 201–212. [Google Scholar] [CrossRef] [Scilit]
- Dineshkumar, C.; Nisar, K.S.; Udhayakumar, R.; Vijayakumar, V. A discussion on approximate controllability of Sobolev-type Hilfer neutral fractional stochastic differential inclusions. Asian J. Control 2021, 24, 2378–2394. [Google Scholar] [CrossRef] [Scilit]
- Migórski, S.; Ochal, A.; Sofonea, M. Nonlinear Inclusions and Hemivariational Inequalities. In Models and Analysis of Contact Problems, Advances in Mechanics and Mathematics; Springer: New York, NY, USA, 2013; Volume 26. [Google Scholar]
- Fu, X.L.; Zhang, Y. Exact null controllability of non-autonomous functional evolution systems with nonlocal conditions. Acta Math. Sci. Ser. B 2013, 33, 747–757. [Google Scholar] [CrossRef] [Scilit]
- Park, J.Y.; Balasubramaniam, P. Exact null controllabiliyt of abstract semilinear functional integrodifferential stochastic evolution equations in Hilbert space. Taiwan J. Math. 2009, 13, 2093–2103. [Google Scholar] [CrossRef] [Scilit]
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).