Abstract
The goal of this paper is to consider a new class of -Hilfer fractional differential equations with impulses and nonlocal conditions. By using fractional calculus, semigroup theory, and with the help of the fixed point theorem, the existence and uniqueness of mild solutions are obtained for the proposed fractional system. Symmetrically, we discuss the existence of optimal controls for the -Hilfer fractional control system. Our main results are well supported by an illustrative example.
1. Introduction
In recent years, a lot of research attention has been paid to the study of fractional calculus, which is considered as a generalization of classical derivatives and integrals to non-integer order. Phenomena with memory and hereditary characteristics that arise in ecology, biology, medicine, electrical engineering, and mechanics, etc, may be well modelled by using fractional differential equations (FDEs for short). For more details on FDEs and its applications, see [1,2,3,4,5] and the references therein. In [6], Hilfer derived a new two-parameter fractional derivative of order and type which is called Hilfer fractional derivative that combines the Riemann-Liouville and Caputo fractional derivatives. This kind of parameter produces more types of stationary states and gives an extra degree of freedom on the initial conditions. Systems based on Hilfer fractional derivatives are considered by many authors, see [7,8,9,10,11] and the references therein. Recently, Sousa and Oliveira [12] introduced a new fractional derivative with respect to another -function the so-called -Hilfer fractional derivative, and discussed their properties as well as important results of the fractional calculus. For more recent works on -Hilfer fractional derivative and its applications, we refer to [13,14,15,16,17] and the references therein.
Many real-world phenomena and processes which are subjected to external influences for a small time interval during their evolution can be represented as an impulsive differential equations. The impulsive differential equations have become the natural framework for modelling of many evolving processes and phenomena studied in the field of science and engineering such as in mechanical systems, biological systems, population dynamics, physics, economy, and control theory. Recently, based on the theory of semigroup and fixed point approach, many authors studied the qualitative properties of solutions for impulsive differential equations of order one and non-integer [18,19,20,21,22,23,24] and the references therein. The optimal control problem (OCP for short) plays a crucial role in biomedicine, for example, model cancer chemotherapy and recently applied to epidemiological models. When FDEs describe the system dynamics and the cost functional, an OCP reduces to a fractional optimal control problem. The fractional OCP refers to optimize the cost functional subject to dynamical constraints on the control parameter and state variables that having fractional models. For more recent works on OCP, see [25,26,27,28,29,30] and the references therein. Harrat et al. [31] investigated the existence of optimal controls for Hilfer fractional impulsive evolution inclusions with Clarke subdifferential. Moreover, optimal control problems for -Hilfer fractional impulsive differential equations are rarely available in the literature which serves as a motivation to our research work in this paper.
Motivated by the above facts, we consider following -Hilfer fractional impulsive differential system:
where denotes the -Hilfer fractional derivative of order and the state takes values in a Hilbert space E and , is the generator of a -semigroup on As usual and are the right and left limits of z at the point , respectively. are impulsive functions that characterize the jump of z at points The functions are some suitable functions that will be specified later.
The rest of the manuscript is organized as follows. In Section 2, we recall some important concepts and results. In Section 3 and Section 4, we derived the mild solution by using semigroup as well as probability density function and proved the existence of mild solutions for the proposed fractional system, receptively. In Section 5, we investigated the existence of optimal controls for the -Hilfer fractional control system. Moreover, in Section 6, an example is presented to demonstrate the applicability of the obtained symmetry results.
2. Preliminaries
Let and an increasing function such that
Definition 1.
The φ-Riemann fractional integral of order of the function is given by
Definition 2.
The φ-Riemann-Liouville fractional derivative of function of order is defined by
where .
Definition 3.
The φ-Hilfer fractional derivative of function of order , and type is defined by
The φ-Hilfer fractional derivative can be written as
with
Lemma 1
([12]). If and , then
Lemma 2
([12]). Let and , then
Definition 4.
Let be the functions such that is continuous and on . Then the generalized Laplace transform of function is given by
For comprehensive details on -Hilfer fractional derivative and its properties, we refer to papers [12,14,17].
Consider the weighted space [14] defined as
Define the space of piecewise continuous functions as
Clearly, is a Banach space with the norm
3. Representation of Mild Solution
Lemma 3.
To reduce the generalized form (1), we consider the linear φ-Hilfer fractional differential system:
has a mild solution, which is defined as
where
with
Proof.
where
Rewrite the problem (2) in the equivalent integral equation
provided that the integral in Equation (4) exists. Let Applying the generalized Laplace transform
where
It follows that
Taking , we obtain
Taking we obtain
We consider the following one-sided stable probability density
whose integration is given by
Using Equation (5), we obtain
and
Hence, we obtain
By using inverse Laplace transform, we obtain
Thus, we obtain
where is the probability density function defined on For any the operators and defined as
and
Hence, we obtain
□
Remark 1.
Let be the generator of a -semigroup on Then there exists such that
Lemma 4
([17,32]). The operators and have the subsequent conditions
- 1.
- and are linear and bounded operators for any fixed and
- 2.
- If is compact operator for all , then are compact for all . Hence, and are strongly continuous.
- 3.
- The operators and are strongly continuous. For every and we have
Definition 5.
A function is called a mild solution of problem (1) if for every fulfills and
for every and
for every
4. Existence and Uniqueness
In this section, we prove the existence outcomes of the proposed system (1). Let us assume the following hypotheses
- [X1]:
- is compact for every .
- [X2]:
- The function satisfies
- (a)
- For all , the function is strongly measurable and the function is continuous for a.e
- (b)
- There exists a continuous function such thatwith
- [X3]:
- The function is Lipschitz continuous, i.e.; there exists a positive constant such that
- [X4]:
- For every and all there exist satisfies
- [X5]:
- The following inequalities hold
- [X6]:
- There exists a constant such that
Theorem 1.
Suppose the hypotheses [X1]–[X5] are fulfilled. If
then φ-fractional system (1) has at least one mild solution on
Proof.
For any , we define
Clearly, is closed convex and bounded subset of . Define an operator by
Now, we split as , where
and
Step 1. There exists such that . If we assume that the assertion is not true, then for , we take and such that . For we obtain
For every we obtain
For every we obtain
where
Here, is independent of both sides of Equation (7) are dividing by and taking , we obtain
which contradicts to Equation (6). Hence, for some .
Step 2. We will prove that is a contraction map.
For if then we obtain
Similarly, if , then we get
Step 3. We will prove that is continuous.
Let with as . By [X2], we obtain
and
For every we obtain
By the Lebesgue dominated convergence theorem, we obtain
Hence, is continuous.
Step 4. We prove that is equicontinuous.
Let with then we obtain for every ,
As the right-hand side of Equation (10) tends to zero. Thus, the equicontinuity of is obtained.
Step 5. We prove that is relatively compact in
Obviously, is relatively compact. Let be fixed, and is real number. For , we define
By [X1], we obtain is relatively compact in for every we get
Then is relatively compact in By steps 3–5 and Arzela-Ascoli theorem, is completely continuous. Hence, by the fixed point theorem of Krasnoselskii’s [33], there exists at least one mild solution on □
Theorem 2.
Suppose the hypotheses [X1]–[X6] are fulfilled. Then φ-fractional system (1) has a unique mild solution on
Proof.
Let and be the mild solutions of the -fractional system (1) in Then, for each the mild solutions satisfies
For every we obtain
where
Then we obtain
where
For every we get
where
Then we obtain
where
By using the Gronwall’s inequality (Theorem 2.11, [17]), we get
which implies that Therefore, -fractional system (1) has a unique mild solution on □
5. Existence of Optimal Controls
Let v takes the value in the separable reflexive Banach space and is a class of subsets of which is nonempty convex and closed. The multifunction is measurable and the admissible control set
where △ is a bounded set of Then
Consider following -Hilfer fractional impulsive differential control system:
Let us assume the following hypotheses
- [X7]:
- that implies that for
- [X8]:
Theorem 3.
Suppose the hypotheses of Theorem 2 and [X7]–[X8] are fulfilled. Then for each φ-fractional system (11) has a mild solution which is given by
Proof.
Let us consider
By H lder’s inequality and [X7], we get
It follows that are integrable on here, is the norm of in Banach space Hence, Using Theorem 2, we get the required results. □
We consider the Lagrange problem
where the cost functional is
where be the mild solution of (11) with respect to control
Next, we assume
- [X9]:
- 1. The functional is Borel measurable.
- 2.
- For almost all is sequentially lower semicontinuous on
- 3.
- For each and almost all is convex on
- 4.
- There exist constants is non-negative function in such that
- [X10]:
- is a strongly continuous operator.
Theorem 4.
If the assumptions [X1]–[X10] are fulfilled, then the problem admits at least one optimal pair.
Proof.
Assume that . By using [X9], we obtain . By definition of infimum there exists a minimizing sequence feasible pair , where such that as Since is bounded in there exists a subsequence which is still represented by and such that
in Since is convex and closed, by using Marzur Lemma, we get . Let and be the mild solution of system (11) with respect to and respectively
and
It follows from the boundedness of and Theorem 2, we obtain there exists a constant such that .
For every we get
For every we get
For every we obtain
then there exists a constant such that
where
with for every
Since is strongly continuous, we obtain
Thus, we have
this yields that in as Since by using [X9] and Balder’s theorem, we obtain
Thus J attains its minimum at □
6. Example
Consider the following -Hilfer fractional impulsive differential control system to verify the proposed results:
with cost functional as
subject to the problem (13), where and with Let and Define an operator by with
has a discrete spectrum, the normalized eigenvectors corresponding to eigenvalue are −, and generates an analytic semigroup in E, which uniformly bounded and defined as
with ∀ Thus, we choose that implies that and [X1] is fulfilled. We obtain and The admissible controls set
Let and the functions and are defined as
We obtain and
- 1.
- 2.
- 3.
All hypotheses of Theorems 3 and 4 are satisfied. Hence, the problem (13) has at least one optimal pair.
7. Discussion
The solvability and optimal control results for a class of -Hilfer fractional differential equations with impulses and nonlocal conditions have been investigated. Standard techniques combined with the notion of piecewise continuous mild solutions were used for the main results. Moreover, by using the minimizing sequence concept, we proved the optimal controls for deriving the optimality conditions. At end, we presented an illustrative example to provide the obtained theoretical results. In the forthcoming papers, as new direction, we intend to investigate the relaxation in nonconvex optimal control problems for a new class of -Hilfer fractional stochastic differential equations driven by the Rosenblatt process with non-instantaneous impulses [34,35].
Author Contributions
Conceptualization, A.D.; methodology, M.M.; validation, A.D.; formal analysis, R.D.; investigation, S.G.; writing—original draft preparation, S.G., A.D.; writing—review and editing, A.D., M.M.; supervision, A.D.; project administration, R.D. 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.
Acknowledgments
We are very thankful to the anonymous reviewers and associate editor for their constructive comments and suggestions which help us to improve the manuscript.
Conflicts of Interest
The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.
References
- Zhou, Y.; Wang, J.; Zhang, L. Basic Theory of Fractional Differential Equations; World Scientific Publishing Co. Pte. Ltd.: Hackensack, NJ, USA, 2017. [Google Scholar]
- Miller, K.S.; Ross, B. An Introduction to the Fractional Calculus and Fractional Differential Equations; A Wiley-Interscience Publication; John Wiley and Sons, Inc.: New York, NY, USA, 1993. [Google Scholar]
- Kilbas, A.A.; Srivastava, H.M.; Trujillo, J.J. Theory and applications of fractional differential equations. In North-Holland Mathematics Studies; Elsevier Science B.V.: Amsterdam, The Netherlands, 2006; Volume 204. [Google Scholar]
- Podlubny, I. Fractional differential equations. In Mathematics in Science and Engineering; Academic Press, Inc.: San Diego, CA, USA, 1999; Volume 198. [Google Scholar]
- Dhayal, R.; Malik, M.; Abbas, S. Solvability and optimal controls of non-instantaneous impulsive stochastic fractional differential equation of order q∈(1,2). Stochastics 2020, 93, 780–802. [Google Scholar] [CrossRef]
- Hilfer, R. Application of Fractional Calculus in Physics; World Scientific: Singapore, 2000. [Google Scholar]
- Wang, J.; Zhang, Y. Nonlocal initial value problems for differential equations with Hilfer fractional derivative. Appl. Math. Comput. 2015, 266, 850–859. [Google Scholar] [CrossRef]
- Karthikeyan, K.; Debbouche, A.; Torres, D.F.M. Analysis of Hilfer fractional integro-differential equations with almost sectorial operators. Fractal Fract. 2021, 5, 22. [Google Scholar] [CrossRef]
- Yang, M.; Wang, Q. Approximate controllability of Hilfer fractional differential inclusions with nonlocal conditions. Math. Methods Appl. Sci. 2017, 40, 1126–1138. [Google Scholar] [CrossRef]
- Vijayakumar, V.; Udhayakumar, R. Results on approximate controllability for non-densely defined Hilfer fractional differential system with infinite delay. Chaos Solitons Fractals 2020, 139, 110019. [Google Scholar] [CrossRef]
- Debbouche, A.; Antonov, V. Approximate controllability of semilinear Hilfer fractional differential inclusions with impulsive control inclusion conditions in Banach spaces. Chaos Solitons Fractals 2017, 102, 140–148. [Google Scholar] [CrossRef]
- Sousa, J.V.C.; Oliveira, E.C. On the ψ-Hilfer fractional derivative. Commun. Nonlinear Sci. Numer. Simul. 2018, 60, 72–91. [Google Scholar] [CrossRef]
- Sousa, J.V.C.; Kucche, K.D.; Oliveira, E.C. Stability of ψ-Hilfer impulsive fractional differential equations. Appl. Math. Lett. 2019, 88, 73–80. [Google Scholar] [CrossRef]
- Kucche, K.D.; Kharade, J.P.; Sousa, J.V.C. On the nonlinear impulsive ψ-Hilfer fractional differential equations. Math. Model. Anal. 2020, 25, 642–660. [Google Scholar] [CrossRef]
- Sousa, J.V.C.; Oliveira, E.C. On the Ulam-Hyers-Rassias stability for nonlinear fractional differential equations using the ψ-Hilfer operator. J. Fixed Point Theory Appl. 2018, 20, 96. [Google Scholar] [CrossRef]
- Sousa, J.V.C.; Rodrigues, F.G.; Oliveira, E.C. Stability of the fractional Volterra integro-differential equation by means of ψ-Hilfer operator. Math. Methods Appl. Sci. 2019, 42, 3033–3043. [Google Scholar] [CrossRef] [Green Version]
- Suechoei, A.; Sa Ngiamsunthorn, P. Existence uniqueness and stability of mild solutions for semilinear ψ-Caputo fractional evolution equations. Adv. Differ. Equ. 2020, 114. [Google Scholar] [CrossRef]
- Malti, A.I.N.; Benchohra, M.; Graef, J.R.; Lazreg, J.E. Impulsive boundary value problems for nonlinear implicit Caputo-exponential type fractional differential equations. Electron. J. Qual. Theory Differ. Equ. 2020, 2020, 1–17. [Google Scholar] [CrossRef]
- Vadivoo, B.S.; Ramachandran, R.; Cao, J.; Zhang, H.; Li, X. Controllability analysis of nonlinear neutral-type fractional-order differential systems with state delay and impulsive effects. Int. J. Control. Autom. Syst. 2018, 16, 659–669. [Google Scholar] [CrossRef]
- Aimene, D.; Baleanu, D.; Seba, D. Controllability of semilinear impulsive Atangana-Baleanu fractional differential equations with delay. Chaos Solitons Fractals 2019, 128, 51–57. [Google Scholar] [CrossRef]
- Dhayal, R.; Malik, M.; Abbas, S. Existence, stability and controllability results of stochastic differential equations with non-instantaneous impulses. Int. J. Control 2020, 1–12. [Google Scholar] [CrossRef]
- Yu, X.; Debbouche, A.; Wang, J. On the iterative learning control of fractional impulsive evolution equations in Banach spaces. Math. Methods Appl. Sci. 2017, 40, 6061–6069. [Google Scholar] [CrossRef]
- Ahmed, H.M.; El-Borai, M.M.; El-Owaidy, H.M.; Ghanem, A.S. Impulsive Hilfer fractional differential equations. Adv. Differ. Equ. 2018, 226. [Google Scholar] [CrossRef]
- Kucche, K.D.; Kharade, J.P. Analysis of impulsive ψ-Hilfer fractional differential equations. Mediterr. J. Math. 2020, 17, 163. [Google Scholar] [CrossRef]
- Wang, J.; Zhou, Y. A class of fractional evolution equations and optimal controls. Nonlinear Anal. Real World Appl. 2011, 12, 262–272. [Google Scholar] [CrossRef]
- Dhayal, R.; Malik, M.; Abbas, S.; Debbouche, A. Optimal controls for second-order stochastic differential equations driven by mixed-fractional Brownian motion with impulses. Math. Methods Appl. Sci. 2020, 43, 4107–4124. [Google Scholar] [CrossRef]
- Debbouche, A.; Nieto, J.J. Sobolev type fractional abstract evolution equations with nonlocal conditions and optimal multi-controls. Appl. Math. Comput. 2014, 245, 74–85. [Google Scholar] [CrossRef]
- Liu, S.; Wang, J. Optimal controls of systems governed by semilinear fractional differential equations with not instantaneous impulses. J. Optim. Theory Appl. 2017, 174, 455–473. [Google Scholar] [CrossRef]
- Balasubramaniam, P.; Tamilalagan, P. The solvability and optimal controls for impulsive fractional stochastic integro-differential equations via resolvent operators. J. Optim. Theory Appl. 2017, 174, 139–155. [Google Scholar] [CrossRef]
- Yan, Z.; Jia, X. Optimal controls of fractional impulsive partial neutral stochastic integro-differential syste Infin. Delay Hilbert Spaces. Int. J. Control. Autom. Syst. 2017, 15, 1051–1068. [Google Scholar] [CrossRef]
- Harrat, A.; Nieto, J.J.; Debbouche, A. Solvability and optimal controls of impulsive Hilfer fractional delay evolution inclusions with Clarke subdifferential. J. Comput. Appl. Math. 2018, 344, 725–737. [Google Scholar] [CrossRef]
- Zhou, Y.; Jiao, F. Existence of mild solutions for fractional neutral evolution equations. Comput. Math. Appl. 2010, 59, 1063–1077. [Google Scholar] [CrossRef] [Green Version]
- 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]
- Debbouche, A.; Nieto, J.J.; Torres, D.F.M. Optimal solutions to relaxation in multiple control problems of Sobolev type with nonlocal nonlinear fractional differential equations. J. Optim. Theory Appl. 2017, 174, 7–31. [Google Scholar] [CrossRef] [Green Version]
- Debbouche, A.; Nieto, J.J. Relaxation in controlled systems described by fractional integro-differential equations with nonlocal control conditions. Electron. J. Differ. Equ. 2015, 2015, 1–18. [Google Scholar]
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2021 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/).