Abstract
In this article, we tackle the optimal control and controllability of neutral fractional nonlocal integro-differential equations (NFNIE) of Atangana–Baleanu–Caputo with non-instantaneous impulses. Semigroup theory, noncompactness measurements and fixed point approaches were used to attain the results. An illustration is provided to support the theoretical findings.
1. Introduction
Fractional calculus offers a variety of ways to explain how real and complex numbers work. The fractional derivative outperforms the integral derivative in the model of contemporary issues (Abdeljawad & Baleanu, Citation2016; Anurag Shukla & Pandey, Citation2015; Banas, Citation1980; Caputo & Fabrizio, Citation2015; Gupta, Jarad, Valliammal, Ravichandran & Nisar, Citation2022; Kilbas, Srivastava, & Trujillo, Citation2006; Miller & Ross, Citation1993; Podlubny, Citation1999; Vijayakumar et al., Citation2022; Yang, Citation2019). The intricate connection between the M-L function and fractional calculus takes on a new dimension (Bahaa & Hamiaz, Citation2018; Baleanu & Fernandez, Citation2018; Kaliraj, Thilakraj, Ravichandran, & Nisar, Citation2021; Ma et al., Citation2023; Shukla, Nagarajan, & Pandey, Citation2016; Shukla, Sukavanam, & Pandey, Citation2014). Newton and Leibnitz first proposed the idea of fractional theory in 1695. Both engineering and physical modelling have been used in this procedure (Abdeljawad & Baleanu, Citation2017; Aimene, Baleanu, & Seba, Citation2019; Atangana & Baleanu, Citation2016; Bahaa & Hamiaz, Citation2018; Baleanu & Fernandez, Citation2018; Devi & Kumar, Citation2021; Jothimani, Kaliraj, Panda, Nisar & Ravichandran, Citation2021; Jarad, Abdeljawad, & Hammouch, Citation2018; Kumar & Pandey, Citation2020; Kumar, Kostic, & Pinto, Citation2023; Mahmud, Tanriverdi & Muhamad, Citation2023; Nisar, Jothimani, Kaliraj, & Ravichandran, Citation2021; Ruhil & Malik, Citation2023; Yang, Agarwal, & Liang, Citation2016).
The capacity of a control system to transition from a fixed state to a specific state in a finite amount of time is known as controllability. The principle of controllability was first put forth by R. Kalman in 1960. It is regarded as one of the fundamental and important ideas in control systems. Controllability is a dynamic feature that describes the control performance that can be achieved. In Bedi, Kumar, and Khan (Citation2021), the results of controllability are addressed for the system, where signifies a bounded linear operator with a control function Also, Balasubramaniam (Citation2021) made a deep study on controllability via ABC derivative. Further, in Aimene et al. (Citation2019), the controllability results of semilinear impulsive systems have been examined by AB fractional derivative. In addition, Kumar and Pandey (Citation2020) proposed the existing results of a non-instantaneous impulsive system supported by AB derivative.
Fractional systems are used to describe optimum control issues with various specified limits (Abbas, Citation2021; Agrawal, Citation2004, Citation2008; Aimene et al., Citation2019; Benchohra & Seba, Citation2009; Chalishajar, Ravichandran, Dhanalakshmi & Murugesu, Citation2019; Dineshkumar & Hoon Joo, Citation2023; Dineshkumar, Udhayakumar, Vijayakumar, Shukla, & Sooppy Nisar, Citation2023; Enes & Onur Kıymaz, Citation2023; Dineshkumar, Udhayakumar, Vijayakumar, Nisar, & Shukla, Citation2022; Dineshkumar, Udhayakumar, Vijayakumar, Sooppy Nisar, et al., Citation2022; Tajadodi, Khan, Francisco Gómez-Aguilar, & Khan, Citation2021). Recently, researchers give more attention to fractional derivatives, especially when several applications in biology, economics, science and engineering have appeared (Goufo, Ravichandran & Birajdar, Citation2021; Kavitha Williams, Vijayakumar, Shukla, & Nisar, Citation2022; Kavitha Williams, Vijayakumar, Nisar, & Shukla, Citation2023). The noninstantaneous and instantaneous fractional differential systems of their qualitative behaviours have been debated comprehensively (Gautam & Dabas, Citation2015; Ravichandran, jothimani, Nisar, Mahmoud & Yahia, Citation2022; Kumar & Pandey, Citation2020; Pandey, Das, & Sukavanam, Citation2014).
Motivated by the above literature, we widen to procure some abundant conditions for controllability and optimal controls of the form: (1.1) (1.1) where ABC is the derivative of order In Banach space the resolvent infinitesimal generator of is For meets, The term acts as a solution operator on Let and is a bounded linear operator with control Furthermore, defined over and are given functions with certain assumptions. In addition, the non-instantaneous impulsive functions are defined as
We assume that, and
2. Basic results
Definition 2.1.
The Kuratowski noncompact measure is be a bounded set (Banas, Citation1980),
Lemma 2.2.
Let be bounded subsets on Banach space (Banas, Citation1980),
is compact.
for any
is closed set of
Lemma 2.3.
For the uniform integration of with a.e (Aimene et al., Citation2019),
Definition 2.4.
The AB FD with of the Caputo is as (Atangana & Baleanu, Citation2016), (2.1) (2.1) and
Definition 2.5.
The AB differentiation of in the view of RL sense and for of order as (Atangana & Baleanu, Citation2016), (2.2) (2.2) AB integral is, (2.3) (2.3)
Remark 2.6.
Here, the two-parameter generalizations of M-L function:
In particular,
Definition 2.7.
The sectorial operator is (Pazy, Citation1983):
is closed & linear.
Let s.t.,
Remark 2.8.
For the mild solution of Equation(1.1)(1.1) (1.1) , consider a subsequent Cauchy problem (Pazy, Citation1983) and mild solution is, where and are linear operators with and,
Definition 2.9.
The problem Equation(1.1)(1.1) (1.1) is called controllable if for all and and a control shows the mild solution of of on I (Aimene et al., Citation2019).
Theorem 2.10.
Let is a nonempty, closed, convex bounded set. Let is continuously called set contraction (Banas, Citation1980), (2.4) (2.4)
Then has a fixed point.
Definition 2.11.
The mild solution of Equation(1.1)(1.1) (1.1) is if on shows if
3. Main sequels
If are constants, provided for all Let
Let
H0 For and is continuous,
For every and
H1 Let For
for every and
H2 Let with
H3 Let with
H4 For fulfils and where
H5 and
H6 Let for each
for each for constants
for some constants
H7 Let & are bounded linear operators, and
H8 Let and any bounded sets, we have
Further, let us assume:
Theorem 3.1.
Let holds, then Equation(1.1)(1.1) (1.1) is controllable on I shows: (3.1) (3.1) and
Proof.
Let is,
By using H5, we get (3.2) (3.2)
Set So, is convex and closed subset of
Step 1: meets the assumption of Theorem 2.10.
By and we get
Thus,
Let as positive number, s.t., (3.3) (3.3)
Then for each Equation(3.3)(3.3) (3.3) yields implies
Step 2: on is continuous. For and with in provided
For
Further, for every
Hence, in implies continuous of
Step 3: is equicontinuous.
Choose with
Further, for equicontinuity of
Step 4: a set contraction.
For any a countable set exists, then by the equicontinuity on By and for any (3.4) (3.4)
Similarly, (3.5) (3.5)
Using Equation(3.4)(3.4) (3.4) , Equation(3.5)(3.5) (3.5) , we get (3.6) (3.6) (3.7) (3.7)
By Equation(3.4)–Equation(3.6)(3.6) (3.6) , we get (3.8) (3.8)
Also, for is obviously hold.
Therefore, is controllable. □
4. Optimal control
Let us focus the Lagrange problem [LP] (Liu & Wang, Citation2017): a control s.t. and (4.1) (4.1)
Consider the multivalued maps where Y be a separable reflexive Banach space. Let us denote that,
We assume,
H9
is semi-continuous on for
is convex on U for all
is Borel measurable.
Let is non-negative
Theorem 4.1.
If [H1–H9] holds. Then, the [LP] has optimal pair.
Proof.
If then the proof is:
By [H9] (iv), By infimum defn a minimizing sequence s. t. as
Since is bounded, a subsequence, s. t. in Since is convex, closed and by Mazur lemma.
From Step 1 and Step 3 in Theorem 3.1, the states that uniformly bounded and equicontinuous. Now, we need to prove is relatively compact. From Equation(1.1)(1.1) (1.1) , we have where,
To prove is relatively compact For any and we define
By the property of [H1], [H3], [H4] the set is relatively compact. By Lemma 2.3, we get for every Hence is relatively compact in
From for
For leads to Hence is relatively compact in From [H0] and [H6], is bounded and equicontinuous in By Equation(3.8)(3.8) (3.8) , we have which implies that by using Equation(3.1)(3.1) (3.1) .
is relatively compact in and a subsequence of such that
By [H0]–[H4], [H6] and Lebesgue theorem,
So, is continuously embedded in by [H9] & Balder’s theorem (Balder, Citation1987), which shows Hence, attains its minimum at for every
Consequently, take i.e. Due to the boundedness of in for for a subsequence and by relative compactness of is a subsequence as Since is continuous with [H9], we get J attains its minimum at admits optimal pair □
5. Example
Let us consider the partial FDE: (5.1) (5.1)
Let define as and
Then, and the Eigenvectors of is orthogonal set and they are given by Therefore, the generator of is in expressed as
This makes that In addition to that, for every
By putting,
Equation Equation(5.1)(5.1) (5.1) represents Equation(1.1)(1.1) (1.1) , fulfils (HO)–(H8). Hence, Equation(5.1)(5.1) (5.1) is controllable.
6. Conclusions
In this paper, we explored the controllability and optimal control of NFIE with noninstantaneous impulses. The controllability findings are backed up by the set contraction principle perfectly. Fixed point and noncompact measure methods are used to achieve the results. An appropriate example is used to describe the results. We have presented some important properties of AB operators, which will be useful for further study in this direction.
Acknowledgements
This study is supported via funding from Prince Sattam Bin Abdulaziz University under project number (PSAU/2023/R/1444). The authors are thankful to the Deanship of Scientific Research at University of Bisha for supporting this work through the Fast-Track Research Support Program.
Disclosure statement
No potential conflict of interest was reported by the author(s).
Additional information
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