Non-instantaneous impulsive fractional-order delay di ﬀ erential systems with Mittag-Le ﬄ er kernel

: The existence of fractional-order functional di ﬀ erential equations with non-instantaneous impulses within the Mittag-Le ﬄ er kernel is examined in this manuscript. Non-instantaneous impulses are involved in such equations and the solution semigroup is not compact in Banach spaces. We suppose that the nonlinear term fulﬁlls a non-compactness measure criterion and a local growth constraint. We further assume that non-instantaneous impulsive functions satisfy speciﬁc Lipschitz criteria. Finally, an example is given to justify the theoretical results. ﬁxed point


Introduction
Newton developed fractional calculus in 1695, although it has only lately caught the interest of many scholars. Over the last two decades, the most intriguing developments in scientific and engineering applications have been discovered within the framework of fractional calculus. The notion of the fractional derivative has been established because to the challenges associated with a heterogeneity issue [36][37][38]. The important point to remember is that fractional derivatives and integrals have different applications and consequences depending on the definitions utilized, such as Riemann-Liouville, Hadamard, Grunwald Letnikov, Caputo, Riesz-Caputo, Chen, Weyl, Erd Iyi-Kober and so on. Recently, Caputo and Fabrizio [12] introduced a novel non-local and non-singular kernel idea in the non-typical Banach space H 1 in 2015. This concept was first difficult to implement, but it soon gained traction in a number of fields, including thermal science, mechanical engineering, and groundwater research; for additional details, see [4,6,11], and the references therein. Later, Atangana and Baleanu [1] presented a new concept of non-local derivatives with non-singular kernel depending on the Mittag-Leffler function, which supported the Caputo-Fabrizio's one based on exponential function. The Atangana and Baleanu interpretations have improved the understanding of the relationship between fractional calculus and the Mittag-Leffler function, as well as the important applications that they achieve together. For further information, see [1,3,7].
The theory of instantaneous impulsive differential equations covers processes that undergo a sudden change in state at certain times. Such processes occur often and spontaneously, especially in phenomena studied in science, control systems, engineering, and biological sciences ( [10,26]). The concept of instantaneous impulsive differential equations has emerged as an important research area in recent decades in Banach spaces, see the references [2,3,14,15,17,18,35] for more information on this idea and its applications, which contain comprehensive bibliographies as well as a wide variety of features of their solutions. In short, differential systems with instantaneous impulses looks at situations with abrupt and instantaneous impulses. Models with instantaneous impulses, on the other hand, are clearly unable of explaining several elements of pharmacological evolution processes. As Hernandez and O'Regan pointed out in [20], when we look at a simplified scenario of a person's hemodynamic equilibrium, the absorption of medications into the circulation and the body's subsequent absorption are slow and continuous processes. As a consequence, this situation may be understood as an impulsive behaviour that starts rapidly and ends after a certain amount of time has passed. We call this phenomenon that occurs while creating mathematical models "non-instantaneous impulses". According to the study, non-instantaneous impulses may describe a variety of models drawn from real-world models as partial differential systems.
Several authors have investigated non-instantaneous impulses in recent years and come up with some intriguing conclusions, see for instance [5,9,13,19,20,25,27,33,34]. In [25], authors studied the trajectory approximately controllability and optimal control for non-instantaneous impulsive inclusions without compactness in Banach spaces and finally as an application, the controllability for a differential inclusion system governed by a heat equation is considered. Recently, Qiu et al.
[33] discussed the consistent tracking problem of non-instantaneous impulsive multi-agent systems and further authors shows that all agents of linear systems are driven to achieve a given asymptotical consensus as the number of iteration increases by using the standard urn:x-wiley:rnc:media:rnc5627:rnc5627-math-0003-type learning law with the initial state learning rule. Furthermore, very few authors studied the existence and controllability of fractional-order differential system through Atangana-Baleanu derivative, see for instance [3,[27][28][29]. In particular, in [27], authors investigated the existence results for fractional-order differential systems having non-instantaneous impulses utilizing the Atangana-Baleanu derivative in Banach spaces through measures of non-compactness. Recently, Mallika Arjunan et al. [28][29][30] studied the existence results of various fractional-order differential systems through Atangana-Baleanu derivative under suitable fixed point theorems.
In light of the preceding, in this manuscript, we investigate the existence results for a class of fractional-order functional differential equations with non-instantaneous impulses of the form is a given function which satisfies certain assumptions to be specified later on. We consider the non-instantaneous impulsive functions κ : (ς , s ] × B → E, = 1, 2, . . . , m; we assume that The rest of the manuscript is organized as follows. We give some fundamental concepts on Atangana-Baleanu fractional derivatives, phase space axioms (B), sectorial operator and mild solution of the systems (1.1)-(1.3) in Section 2. The proof of our main results are given in Section 3. In the final section, an example is shown.

Preliminaries
The essential definitions and results of the sectorial operator, piece-wise continuous functions, measures of non-compactness, phase space axioms, and Atangana-Baleanu fractional derivative are covered in this part, which will assist us in proving our primary points.
Let (E, · E ) be a complex Banach space. L(E) is the Banach space of all bounded linear operators from X into X with · L(E) as the corresponding norm.
C ([0, ξ], E) is the Banach space of all continuous functions from [0, ξ] into E with the norm The functions p : [0, ξ] → E that are integrable in the Bochner notion with regard to the Lebesgue measure, equipped with Here, we recall some fundamental definitions of Atangnan-Baleanu fractional derivative.
We recommend readers to refer the following papers to prevent repeats of several definitions used in this manuscript: sectorial operator [23] and solution operator (see Definition 2.7 in [29]). For more information on this topic and its applications, we recommend reading [1,3,27,28,32,35].

Piece-wise Continuous Functions
When incorporating impulsive constraints, we must first construct the piece-wise continuous functions.
We discuss it in detail here.

Phase space axioms
To employ delay criteria, we must first establish the phase space axioms B introduced by Hale and Kato in [21] and utilize the terminology used in [24]. As a result, (B, · B ) is a semi-normed linear space of functions mapping (−∞, 0] into E and satisfying the axioms below.
If p :] − ∞, ξ] → E, ξ > 0, is such that p 0 ∈ B, then for all ς ∈ [0, ξ], the subsequent assumptions hold: and B is complete. For more details, see [22]. Now, we define the space In Y ξ , the function · Y ξ is defined as a seminorm, We recommend that the reader go to [22,24] for further information on phase space axioms and examples.
is said to be Caratheodory if it satisfies the following criteria:

Measures of Noncompactness
The idea of measure of non-compactness supports a number of our results. With this in mind, we shall now recall some of this concept's properties. The reader will be directed to [8,16] for fundamental information. Throughout this manuscript, we only employ the Kuratowski measure idea of non-compactness.
We can now define the mild solution for the systems (1.1)-(1.3).
At the end of this section, we mention the crucial Monch fixed point theorem [MFPT] and it is very helpful in proving our results [9,31].
holds for every subset W of B, then Υ has a fixed point.

Existence results
This section presents and proves the existence findings for the systems (1.1)-(1. 3) under the MFPT [31].
The following are the conditions for applying the fixed point theorem [31].
To prove the result, we first determine the estimate of the phase space axioms. For every ς ∈ [0, ξ], we have from Section 2.2, where e = (Q * 1 µ M B W + Q * 2 ) ϕ B . To make the proof more understandable, we have separated it into phases.
Let where Ξ n (s) = 2 π sin(ns), n ∈ N is the orthonormal set of eigenvectors of A and in E, A generates a C 0 semigroup {B(ς)} ς≥0 which is described by which is uniformly bounded and also a compact semigroup and hence the operator For the phase space B, we choose the well-known space BUC(R − , E), the space of bounded uniformly continuous functions and satisfies the phase space axioms (C1) and (C2). Further, it is defined from (−∞, 0] to E endowed with the following norm: If ϕ ∈ BUC(R − , E) and w ∈ [0, π], The systems (4.1)-(4.4) can then be written as (1.1)-(1.3) in an abstract form.
From this, we can conclude that F satisfies the conditions (A1) and (A4). Consider the non-instantaneous impulsive functions κ : (ς , s ] × B → E, = 1, 2, . . . , m, we have where L κ = From the above discussion, we have S ≤ µ and T ≤ µ for the bounded linear operators S and T. Hence, the assumption (A5) is verified.
Finally, to verify the inequality (3.1), we take µ = µ = 1 20 , M B = M B = L = γ = 1. Then, we have From the above discussion, we can confirm that the Theorem 3.1 assumptions hold. As a consequence, problems (4.1)-(4.4) has a mild solution from the Theorem 3.1.

Conclusions
There are various types of fractional derivative definitions, with the RiemannLiouville fractional derivative (RLFD) and the Caputo fractional derivative (CFD) being two of the most prominent in applications [32]. Under suitable regularity assumptions, the RLFD can be transformed to the Caputo fractional derivative. The CFD are often used to determine the time-fractional derivatives in fractional partial differential equations. The fundamental difficulty is because the RL technique requires initial conditions including the RLFD limit values at the origin of time t = 0, which have unclear physical interpretations. The initial conditions for time-fractional Caputo derivatives, on the other hand, are the same as for integer-order differential equations, that is, the initial values of integer-order derivatives of functions at the origin of time t = 0 [32]. The benefit of using the Caputo definition is that it not only allows for the consideration of easily interpreted initial conditions, but it is also bounded, meaning that the derivative of a constant is equal to 0.
Caputo and Fabrizio [12] have proposed a novel definition of fractional derivative without singular kernel by substituting the function exp(− ϑ 1−ϑ (ς − s)) for the kernel (ς − s) −ϑ . The extended Mittag-Leffler function was employed as a nonlocal and nonsingular kernel by both Atangana and Baleanu [1] a year later. The kernel's nonlocality allows for a more accurate representation of memory within structures of varying scales. For these reasons, we are using Atangana-Baleanu-Caputo fractional derivative in this manuscript. In this study, we used their [1] new result to our differential systems (1.1)-(1.3). Theorem 3.1 is proved to investigate the existence of the addressing models (1.1)-(1.3) by means of Monch fixed point theorem. Then, in Example 4, we check that the hypotheses (A1)-(A5) for the problems (4.1)-(4.4) are correct individually. The effectiveness of present research to approximate controllability with non-instantaneous impulses for diverse models may be developed using an appropriate fixed point theorem.