Null Controllability of Hilfer Fractional Stochastic Differential Inclusions
Abstract
:1. Introduction
2. Preliminaries
- (i)
- is continuous in the uniform operator topology.
- (ii)
- For any fixed and are linear and bounded operators, and
- (iii)
- and are strongly continuous.
- (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
3. Main Result
- (A6)
- The fractional linear system (3) is exactly null controllable on .
- 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 get
- 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 getSince from we obtain
4. Example
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts 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]
- 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]
- 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]
- Ahmed, H.M. Controllability of fractional stochastic delay equations. Lobachevskii J. Math. 2009, 30, 195–202. [Google Scholar] [CrossRef]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- Ahmed, H.M. Conformable fractional stochastic differential equations with control function. Syst. Control Lett. 2021, 158, 105062. [Google Scholar] [CrossRef]
- 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]
- 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]
- 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] [Green Version]
- Lv, J.; Yang, X. A class of Hilfer fractional stochastic differential equations and optimal controls. Adv. Differ. Equ. 2019, 2019, 17. [Google Scholar] [CrossRef] [Green Version]
- dos Santos Lima, L. Fractional Stochastic Differential Equation Approach for Spreading of Diseases. Entropy 2022, 24, 719. [Google Scholar] [CrossRef]
- 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] [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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
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Ahmed, H.M.; El-Borai, M.M.; El-Sayed, W.; Elbadrawi, A. Null Controllability of Hilfer Fractional Stochastic Differential Inclusions. Fractal Fract. 2022, 6, 721. https://doi.org/10.3390/fractalfract6120721
Ahmed HM, El-Borai MM, El-Sayed W, Elbadrawi A. Null Controllability of Hilfer Fractional Stochastic Differential Inclusions. Fractal and Fractional. 2022; 6(12):721. https://doi.org/10.3390/fractalfract6120721
Chicago/Turabian StyleAhmed, Hamdy M., Mahmoud M. El-Borai, Wagdy El-Sayed, and Alaa Elbadrawi. 2022. "Null Controllability of Hilfer Fractional Stochastic Differential Inclusions" Fractal and Fractional 6, no. 12: 721. https://doi.org/10.3390/fractalfract6120721
APA StyleAhmed, H. M., El-Borai, M. M., El-Sayed, W., & Elbadrawi, A. (2022). Null Controllability of Hilfer Fractional Stochastic Differential Inclusions. Fractal and Fractional, 6(12), 721. https://doi.org/10.3390/fractalfract6120721