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Existence and analysis of Hilfer-Hadamard fractional differential equations in RLC circuit models

  • This paper explores a fractional integro-differential equation with boundary conditions that incorporate the Hilfer-Hadamard fractional derivative. We model the RLC circuit using fractional calculus and define weighted spaces of continuous functions. The existence and uniqueness of solutions are established, along with their Ulam-Hyers and Ulam-Hyers-Rassias stability. Our analysis employs Schaefer's fixed-point theorem and Banach's contraction principle. An illustrative example is presented to validate our findings.

    Citation: Murugesan Manigandan, R. Meganathan, R. Sathiya Shanthi, Mohamed Rhaima. Existence and analysis of Hilfer-Hadamard fractional differential equations in RLC circuit models[J]. AIMS Mathematics, 2024, 9(10): 28741-28764. doi: 10.3934/math.20241394

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  • This paper explores a fractional integro-differential equation with boundary conditions that incorporate the Hilfer-Hadamard fractional derivative. We model the RLC circuit using fractional calculus and define weighted spaces of continuous functions. The existence and uniqueness of solutions are established, along with their Ulam-Hyers and Ulam-Hyers-Rassias stability. Our analysis employs Schaefer's fixed-point theorem and Banach's contraction principle. An illustrative example is presented to validate our findings.



    The following abbreviations are used in this manuscript:

    BVPs Boundary Value Problems
    HHFDEs Hilfer-Hadamard Fractional-order Differential Equations
    HFIs Hadamard Fractional Integrals
    HHFDs Hilfer-Hadamard Fractional Derivatives
    CFDs Caputo Fractional Derivatives
    HFDs Hilfer Fractional Derivatives
    HFDEs Hilfer Fractional Differential Equations
    HFDs Hadamard Fractional Derivatives (HFDs)
    CHFDs Caputo-Hadamard Fractional Derivatives (CHFDs)

    Fractional calculus extends classical calculus by generalizing derivatives and integrals from integer orders to arbitrary orders. In this field, various definitions of integrals and derivatives exist, with the Caputo and Riemann-Liouville (R-L) formulations being widely recognized. These formulations have driven extensive research, extending differential equations from integer to fractional orders. Recently, Hilfer introduced a generalized R-L derivative, known as the Hilfer derivative, which bridges the gap between Caputo and R-L derivatives and has attracted significant attention. Recent studies have investigated the Ulam stability and existence results of differential equations using fractional Hadamard and Hilfer derivatives, marking a notable advancement in fractional calculus and opening new avenues for mathematical exploration and application [2,5,8,14].

    The researchers focus on stability analysis of fractional differential equations using different types of fractional derivatives and make an important contribution to the understanding of stability properties in fractional calculus [1,6,25,26]. Beginning with studies on the stability of solutions to linear differential equations with fractional Caputo derivatives [25], subsequent research investigated the existence and Ulam stability of solutions to equations characterized by the Hilfer-Hadamard type [1] and extended the analysis to include the new Caputo-Fabrizio fractional derivative and advance the discourse on stability in fractional calculus [6]. In addition, studies in [26] investigated the Hyers-Ulam stability of nonlinear differential equations subject to fractional integrable momentum, expanding the scope of stability analysis in fractional calculus applications.

    Fixed-point theorems are crucial for establishing both the existence and uniqueness of solutions in various mathematical contexts. Their application also extends to examining the attractivity of solutions within fractional calculus, facilitating advancements in both theoretical understanding and practical applications across a broad range of scientific disciplines. For instance, the authors in [7] studied the complex interplay between nonlinear Caputo fractional derivatives and nonlocal Riemann-Liouville fractional integral conditions, offering new insights through fixed-point theorems. Similarly, [24] expanded our understanding of positive solutions for fractional differential equations with derivative terms, introducing a novel fixed-point theorem to address this challenging problem. In [3], the authors explored the complexities of fractional boundary value problems, particularly focusing on mixed boundary conditions, which are essential for modeling various physical phenomena. Additionally, [10] extended the applicability of mathematical tools, such as Mönch's fixed-point theorem, to analyze intricate systems of Hilfer-type fractional differential equations, opening avenues for further theoretical developments. Lastly, [22] investigated the existence and uniqueness of nonlocal boundary conditions in the context of Hilfer-Hadamard-type fractional differential equations, bridging theoretical insights with practical applications.

    The study by Fan et al. [11] investigates the synchronization of fractional-order multi-link memristive neural networks (MNNs) with time delays, proposing a hybrid impulsive feedback control strategy to achieve drive-response synchronization in these complex systems. This approach offers valuable insights into the stability and synchronization dynamics in neural networks and chaotic circuits. In contrast, Li et al. [18] focus on the stability analysis of fractional differential equations (FDEs) with non-instantaneous impulses and multi-point boundary conditions, providing new stability criteria for systems with delayed impulses. Their work has broad implications for biological systems and engineering problems influenced by fractional dynamics. Both articles contribute significantly to the understanding of control and stability in fractional-order systems, with distinct applications in neural computation and biological modeling.

    In 1892, Hadamard introduced the new concept of Hadamard fractional derivatives, using a logarithmic function with an arbitrary exponent at its [9]. Building on this foundation, subsequent research, exemplified by notable works such as [4,16,20], has explored various extensions, including the study of Hilfer Hadamard-type fractional derivatives and Caputo-Hadamard fractional derivatives. It is important to note that Hadamard fractional derivatives and Caputo-Hadamard fractional derivatives are specific instances of the broader Hilfer-Hadamard type fractional derivatives framework, distinguished by the parameter β with values of β=0 and β=1, respectively. This rich line of research has led to investigations into the existence and properties of solutions to Hilfer-Hadamard type fractional differential equations, particularly with respect to non-local integro-multi-point boundary conditions.

    Existence results for a Hilfer-Hadamard type fractional differential equations with nonlocal integro-multipoint boundary conditions were derived in [21],

    {HHDϑ,β1x(t)=f(t,x(t)),  t[1,T],x(1)=0,  mi=1Xix(ξi)=λHIδx(η), (1.1)

    here ϑ(1,2], β0,1, Xi,λR, η,ξi(1,T) (i=1,2,...,m), HIδ is the HFI of order δ>0, f:[1,T]×RR is a continuous function. Problem (1.1) represents a non-coupled system.

    Integer order integro-differential equations find applications in various domains of science and engineering, including circuit analysis. According to Kirchhoff's second law, the total voltage drop across a closed loop is equal to the applied voltage, denoted as E(t). This principle essentially stems from the law of energy conservation. Consequently, an RLC circuit equation has the form

    dI(t)dt+RI(t)+1Ct0I(s)ds=E(t).

    This paper explores the practical application of fractional derivatives in modeling various electrical circuits, including RC,RL, and RLC configurations, as well as power electronic devices and nonlinear loads. The RLC circuit serves as a fundamental component in the assembly of more intricate electrical circuits and networks. Illustrated in Figure 1, it comprises a resistor with a resistance of R ohms, an inductor with an inductance of L henries, and a capacitor with a capacitance of C farads, all arranged in series with an electromotive force source (like a battery or a generator) providing a voltage of E(t) volts at time t.

    Figure 1.  Diagram of a RLC circuit.

    In [19], Malarvizhi et al. discussed the transient analysis of an RLC circuit in the RK4 order method. In [12], Gomez-Aguilar et al.studied the electrical circuits RC and RL for the Atangana-Beleanu-Caputo (ABC) fractional bi-order system:

    ABCDβV(t)=δE(t)δV.

    In 2016 in [13], researchers derived analytical and numerical solutions of electrical circuits employing fractional derivatives. By substituting traditional time derivatives with fractional derivatives like Riemann-Liouville, Grünwald-Letnikov, Liouville-Caputo, and the recently introduced Caputo and Fabrizio fractional definitions, the authors derived equations capturing the dynamic behavior of these circuits. Motivated by [13], we have considered the following Hilfer-Hadamard fractional derivative equation with the RLC model:

    HHDϑ,β1I(t)=E(t)LRLI(t)1CLt1I(ς)dς,  tJ=1,T, (1.2)
    X(1)=0,  X(T)=li=1ηiX(ξi)+kj=1ϱjIvjX(ζj),  vj>0,ηi,ϱjR, ζj,ξiJ. (1.3)

    The Problems (1.2) and (1.3) exhibit nonlocal coupling with integral and multi-point boundary conditions. The RLC circuit system is shown in Figure 1.

    The primary contribution of this endeavor can be outlined as follows:

    (1) The existence, uniqueness, and stability of the solution of the Hilfer-Hadamard fractional multi point integro-differential equation for the RLC circuit model have been investigated via the fixed-point approach.

    (2) We apply a novel hypothesis to verify the existence, uniqueness, and Ulam-Hyers stability of the solution to the RLC circuit Eqs (1.2) and (1.3). We additionally, the paper is structured as follows: Section 2 introduces definitions and properties of fractional derivatives, along with an investigation into the existence of solutions for the boundary value problem. Section 3, we give the main results. Sections 3.1 and 3.2 focus on the existence and uniqueness of solutions. Section 4 examines Ulam stability, while Section 5 presents examples illustrating the developed theorems. Finally, Section 6 provides concluding insights.

    Definition 2.1. [17] The Hadamard fractional integral of order ϑR for the function X:a,)R is defined as follows:

    HIϑa+X(t)=1Γ(ϑ)tb(logta)ϑ1X(t)ada,   a>b, (2.1)

    provided the integral exists, where log()=loge().

    Definition 2.2. [17] For a continuous function X:a,)R, the HFD of order ϑ>0 is given by

    HDϑa+X(t)=pn(HInϑa+X)(t),  n=ϑ+1, (2.2)

    where pn=tndndtn and ϑ represent the integer parts of the real number ϑ.

    Lemma 2.1. [17] If ϑ,γ>0 and 0<a<b< then

    (1)(HIϑa+(logta)γ1)(X)=Γ(γ)Γ(γ+ϑ)(logta)γ+ϑ1;
    (2)(HDϑa+(logta)γ1)(X)=Γ(γ)Γ(γϑ)(logta)γϑ1.

    In particular, if γ=1, then the following is the case:

    (HDϑa+)(1)=1Γ(1ϑ)(logta)ϑ0,0<ϑ<1.

    Definition 2.3. [15] For n1<p<n and 0q1, the HHFD of order mathfrakp and the type q for fL(a,b) is defined as

    (HHIδ,γa+)=(HIγ(nδ)a+pnHI(nδ)(1γ)a+X)(t)=(HIγ(nδ)a+pnHI(nq)a+X)(t)=(HIγ(nδ)a+pnHDqa+X)(t), q=δ+nγδγ,

    where HI()a+ and HD()a+ are given in Definitions 2.1 and 2.2, respectively.

    Lemma 2.2. [23] If φL1(a,b),0<a<b<, and (HInqa+φ)(t)ACnp[a,b], then

    HDϑa+(HHDδ,γa+φ)(t)=HIqa+(HHDqa+φ)(t)=φ(t)n1j=o(p(nj1)(HDϑa+φ))(a)Γ(qj)(logta)qj1,

    where δ>0,0γ1 and q=δ+nγδγ,n=δ+1. Observe that Γ(qj) exists for all j=1,2,,n1 and qδ,n.

    Let us consider the general structure of the Hilfer-Hadamard fractional order RLC circuit integro-differential equation with nonlocal boundary conditions:

    {HHDϑ,βX(t)=H1(t,X(t),H(X(ς))),  tJ=1,T,X(1)=0,  X(T)=li=1ηiX(ξi)+kj=1ϱjIvjX(ζj),  vj>0,ηi,ϱjR, ζj,ξiJ, (2.3)

    where HHDϑ,β is the Hilfer-Hadamard fractional derivative of order ϑ(1,2), and type β0,1 and ηi,ϱjR parameter Ivj is the Riemann-Liouville fractional integral of order vj>0,ζj1,T,ϱjR,j=1,,k.

    H1(t,X(t),taF(t,ς,X(ς)dς))=E(t)LRLI(t)1CLt1I(ς)dς, (2.4)

    and

    H(X(ς))=taF(t,ς,X(ς)dς). (2.5)

    Using some fixed-point theorems, the existence and uniqueness results are established. For (2.3), we employ Banach's fixed-point and Schaefer's fixed-point theorem for uniqueness and existence results.

    This section is concerned with the existence and uniqueness of solutions for the nonlinear Hilfer -Hadamard fractional derivative boundary value problem (1.3). First of all, we prove an auxiliary lemma dealing with the linear variant of the boundary value problem (1.3), which will be used to transform the problem at hand into an equivalent fixed-point problem. In the case n=[ϑ]+1=2, we have γ=ϑ+(2ϑ)β.

    Lemma 2.3. Let hC(1,T,R) and that

    Π=(logT)γ1li=1ηi(logξi)γ1kj=1ϱjIvj(logζj)γ10. (2.6)

    Then, X is a solution of the following linear Hilfer-Hadamard fractional boundary value problem:

    {HHDϑ,β1X(t)=h(t),  tJ=1,T,X(1)=0,  X(T)=li=1ηiX(ξi)+kj=1ϱjIvjX(ζj),  vj>0,ηi,ϱjR, ζj,ξiJ, (2.7)

    which satisfies the following equation:

    X(t)=(logt)γ1Π[li=1ηi1Γ(ϑ)ξi1(logξiς)ϑ1h(ς)ςdς+kj=1ϱjIvj1Γ(ϑ)ξi1(logζjς)ϑ1h(ς)ςdς1Γ(ϑ)T1(logTς)ϑ1h(ς)ςdς]+1Γ(ϑ)t1(logtς)ϑ1h(ς)ςdς. (2.8)

    Proof. Applying the Hadamard fractional integral operator of order ϑ from 1 to t on both sides of Hilfer-Hadamard fractional differential equations in (2.7) and using Lemma 2.2, we find that

    X(t)δ(HI2γ1+X)(1)Γ(γ)(logt)γ1δ(HI2γ1+X)(1)Γ(γ)(logt)γ2=HIαh(t),

    and we obtain,

    X(t)=c0(logt)γ1+c1(logt)γ2+1Γ(ϑ)t1(logtς)ϑ1h(ς)ςdς, (2.9)

    where c0 and c1 are arbitrary constants. Using the first boundary condition (X(1)=0) in (2.9) yields c1=0, since γ[ϑ,2]. In consequence, (2.7) takes the following form:

    X(T)=li=1ηiX(ξi)+kj=1ϱjIvjX(ζj), (2.10)

    and using the notation (2.10), we obtain the following :

    c0=1Π[li=1ηi1Γ(ϑ)ξi1(logξiς)ϑ1h(ς)ςdςkj=1ϱjIvj1Γ(ϑ)ξi1(logζjς)ϑ1h(ς)ςdς1Γ(ϑ)T1(logTς)ϑ1h(ς)ςdς]. (2.11)

    Substituting the value of c0 in (2.9) results in Eq (2.8) as desired. By direct computation, one can obtain the converse of the lemma. The proof is completed.

    Let E=C(1,T,R) be the Banach space endowed with the norm

    ||X||:=maxt1,T|X(t)|.

    Given Lemma 2.1, we introduce an operator F:EE associated with the problem (2.3) as follows:

    F(X)(t)=(logt)γ1Π[li=1ηi1Γ(ϑ)ξi1(logξiς)ϑ1H1(t,X(t),H(X(ς)))(ς)ςdς+kj=1ϱjIvj1Γ(ϑ)ζi1(logζjς)ϑ1H1(t,X(t),H(X(ς)))(ς)ςdς1Γ(ϑ)T1(logTς)ϑ1H1(t,X(t),H(X(ς)))(ς)ςdς]+1Γ(ϑ)t1(logtς)ϑ1H1(t,X(t),H(X(ς)))(ς)ςdς,  t1,T. (3.1)

    In the sequel, we used the following notation:

    Ω=(logT)ϑΓ(ϑ+1)+(logT)γ1|Π|[li=1|ηi|(logξi)ϑΓ(ϑ+1)+kj=1|ζj|(logζi)ϑ+vjΓ(ϑ+vj+1)+(logT)ϑΓ(ϑ+1)]. (3.2)

    Here, we introduce some assumptions for the following sequels.

    (Q1) The function H1:J×E×EE is completely continuous, and then there exists a function μL1(J,R) such that:

    |H1(t,X,Y)|μ(t),   tJ, X,YE.

    (Q2) The function H1 is continuous, and there exist constants L1,L2>0 such that:

    |H1(t,X1,Y1)H1(t,X2,Y2)|L1|X1X2|+L2|Y1Y2|,   tJ, Xi,YiE, i=1,2.

    (Q3) The function H1 is continuous, and there exists a constant M>0 such that:

    |H1(t,ς,X1)H1(t,ς,X2)|M|X1X2|,  J, XiE, i=1,2.

    In this subsection, we present different criteria for the existence of solutions for the problem (2.3). First, we prove an existence result based on Krasnoselskii's fixed-point theorem.

    Theorem 3.1. Let H1:1,T×RR be a continuous function satisfying (2.3). In addition, we assume that the following condition is satisfied:

    (Q1) There exists a continuous function ΦC(1,T,R+ such that

    |H1(t,X,Y)|Φ(t)1,T×R.

    Then, the nonlinear Hilfer-Hadamard fractional boundary value problem (1.3) has at least one solution on 1,T, provided that the following condition holds:

    {(logT)ϑΓ(ϑ+1)+(logT)γ1|Π|[li=1|ηi|(logξi)ϑΓ(ϑ+1)+kj=1|ζj|(logζi)ϑ+vjΓ(ϑ+vj+1)+(logT)ϑΓ(ϑ+1)]}L<1. (3.3)

    Proof. By assumption (Q1), we can fix ρΩ||Φ|| and consider a closed ball Bρ={XC(1,T,R):||X||ρ}, where ||Φ||=supt1,T|Φ(t)| and Ω is given by (3.2). We verify the hypotheses of Krasnoselskii's fixed-point theorem by splitting the operator F defined by (3.1) on Bρ to C(1,T,R) as F=F1+F2, where F1 and F2 are defined by the following:

    (F1X)(t)=1Γ(ϑ)t1(logtς)ϑ1H1(t,X(t),H(X(ς)))(ς)ςdς, t1,T,
    (F2X)(t)=(logt)γ1Π[li=1ηi1Γ(ϑ)ξi1(logξiς)ϑ1H1(t,X(t),H(X(ς)))(ς)ςdς+kj=1ϱjIvj1Γ(ϑ)ζi1(logζjς)ϑ1H1(t,X(t),H(X(ς)))(ς)ςdς1Γ(ϑ)T1(logTς)ϑ1H1(t,X(t),H(X(ς)))(ς)ςdς], t1,T.

    For any X1,X2Bρ, we have the following:

    |F1(X1)(t)+F2(X2)(t)|=(logt)γ1Π[li=1ηi1Γ(ϑ)ξi1(logξiς)ϑ1|H1(t,X(t),H(X(ς)))(ς)|ςdς+kj=1ϱjIvj1Γ(ϑ)ζi1(logζjς)ϑ1|H1(t,X(t),H(X(ς)))(ς)|ςdς1Γ(ϑ)T1(logTς)ϑ1|H1(t,X(t),H(X(ς)))(ς)|ςdς]+1Γ(ϑ)t1(logtς)ϑ1|H1(t,X(t),H(X(ς)))(ς)|ςdς,((logT)ϑΓ(ϑ+1)+(logT)γ1|Π|[li=1|ηi|(logξi)ϑΓ(ϑ+1)+kj=1|ζj|(logζi)ϑ+vjΓ(ϑ+vj+1)+(logT)ϑΓ(ϑ+1)])||Φ||, (3.4)
    Ω||Φ||ρ. (3.5)

    Hence, ||F1(X1)(t)+F2(X2)(t)||ρ, which shows that F1(X1)(t)+F2(X2)(t)Bρ. By condition (3.3), it is easy to prove that the operator F2 is a contraction mapping. The operator F1 is continuous by the continuity of H1. Moreover, H1 is uniformly bounded on Bρ, since

    ||F1X||(logT)ϑΓ(ϑ+1)||Φ||.

    Finally, we prove the compactness of the operator F1. For t1,t21,T,t1<t2, we have the following case:

    |F1X(t2)F1X(t1)|1Γ(ϑ)t11[(logt2ς)ϑ1(logt1ς)ϑ1]|H1(t,X(t),H(X(ς)))(ς)|ςdς+1Γ(ϑ)t2t1(logt2ς)ϑ1|H1(t,X(t),H(X(ς)))(ς)|ςdς||Φ||Γ(ϑ+1)[2(logt2logt1)ϑ+|(logt2)ϑ(logt1)ϑ|],

    which tends to zero independently of XBρ, as t1t2. Thus, F1 is equicontinuous. By the application of the Arzela–Ascoli theorem, we deduce that operator F1 is compact on Bρ. Thus, the hypotheses of Krasnoselskii's fixed-point theorem hold. In consequence, there exists at least one solution for the nonlinear Hilfer-Hadamard fractional boundary value problem (2.5) on 1,T, which completes the proof.

    Our next existence result is based on Schaefer's fixed-point theorem.

    Theorem 3.2. Assume that (Q1) is verified. Then (2.3) admit at least one solution on J.

    Proof. We shall use Scheafer's fixed-point theorem to prove that P has at least a fixed-point on E. It is to note that P is continuous on E because of the continuity of H1.

    Now, we shall prove that P maps bounded sets into bounded sets in E. Taking r>0, and (X)Br:={(X|XE:||X||EX)}, then for each t1,T, we have

    P(X)(t)=(logt)γ1Π[li=1ηi1Γ(ϑ)ξi1(logξiς)ϑ1H1(t,X(t),H(X(ς)))(ς)ςdς+kj=1ϱjIvj1Γ(ϑ)ζi1(logζjς)ϑ1H1(t,X(t),H(X(ς)))(ς)ςdς1Γ(ϑ)T1(logTς)ϑ1H1(t,X(t),H(X(ς)))(ς)ςdς]+1Γ(ϑ)t1(logtς)ϑ1H1(t,X(t),H(X(ς)))(ς)ςdς,  t1,T. (3.6)

    Step 1. P is continuous.

    Let Xn be a sequence such that XnX in E. For each tJ, one has

    |(P(Xn))(t)(P(X))(t)|=|(logt)ϑ1Π[li=1ηi1Γ(ϑ)ξi1(logξiς)ϑ1(H1(ς,Xn(ς),H(Xn(ς)))H1(ς,X(ς),H(X(ς))))dςς+kj=1ϱj1Γ(ϑ+vj)ζj1(logζjς)ϑ+vj1(H1(ς,Xn(ς),H(Xn(ς)))H1(ς,X(ς),H(X(ς))))dςς1Γ(ϑ)T1(logTς)ϑ1(H1(ς,Xn(ς),H(Xn(ς)))H1(ς,X(ς),H(X(ς))))dςς]+1Γ(ϑ)t1(logtς)ϑ1(H1(ς,Xn(ς),H(Xn(ς)))H1(ς,X(ς),H(X(ς))))dςς|(logt)ϑ1Π[li=1ηi1Γ(ϑ)ξi1(logξiς)ϑ1|(H1(ς,Xn(ς),H(Xn(ς)))H1(ς,X(ς),H(X(ς))))|dςς+kj=1ϱj1Γ(ϑ+vj)ζj1(logζjς)ϑ+vj1|(H1(ς,Xn(ς),H(Xn(ς)))H1(ς,X(ς),H(X(ς))))|dςς1Γ(ϑ)T1(logTς)ϑ1|(H1(ς,Xn(ς),H(Xn(ς)))H1(ς,X(ς),H(X(ς))))|dςς]+1Γ(ϑ)t1(logtς)ϑ1|(H1(ς,Xn(ς),H(Xn(ς)))H1(ς,X(ς),H(X(ς))))|dςς(logt)ϑ1||Π||[li=1|ηi|(logξi)ϑΓ(ϑ+1)||(H1(ς,Xn(ς),H(Xn(ς)))H1(ς,X(ς),H(X(ς))))||E+kj=1ϱj(logζj)ϑ+vjΓ(ϑ+vj)||(H1(ς,Xn(ς),H(Xn(ς)))H1(ς,X(ς),H(X(ς))))||E+(logT)ϑΓ(ϑ+1)||(H1(ς,Xn(ς),H(Xn(ς)))H1(ς,X(ς),H(X(ς))))||E]+(logT)ϑΓ(ϑ+1)||(H1(ς,Xn(ς),H(Xn(ς)))H1(ς,X(ς),H(X(ς))))||E.

    Since the function H1 is continuous, then we obtain

    |(P(Xn))(t)(P(X))(t)|(logt)ϑ1||Π||[li=1|ηi|(logξi)ϑΓ(ϑ+1)||(H1(,Xn(),H(Xn()))H1(,X(),H(X())))||E+kj=1ϱj(logζj)ϑ+vjΓ(ϑ+vj)||(H1(,Xn(),H(Xn()))H1(,X(),H(X())))||E+(logT)ϑΓ(ϑ+1)||(H1(,Xn(),H(Xn()))H1(,X(),H(X())))||E]+(logT)ϑΓ(ϑ+1)||(H1(,Xn(),H(Xn()))H1(,X(),H(X())))||E0, as  n.

    Therefore, the operator P is continuous.

    Step 2. P(Br) is bounded.

    For each tJ and XBr, we obtain that:

    |(PX)(t)|=(logt)γ1Π[li=1ηi1Γ(ϑ)ξi1(logξiς)ϑ1H1(t,X(t),H(X(ς)))(ς)ςdς+kj=1ϱjIvj1Γ(ϑ)ζi1(logζjς)ϑ1H1(t,X(t),H(X(ς)))(ς)ςdς1Γ(ϑ)T1(logTς)ϑ1H1(t,X(t),H(X(ς)))(ς)ςdς]+1Γ(ϑ)t1(logtς)ϑ1H1(t,X(t),H(X(ς)))(ς)ςdς,  t1,T.(logt)ϑ1|Π|[li=1ηi1Γ(ϑ)ξi1(logξiς)ϑ1|μ(ς)|ςdς+kj=1ϱj1Γ(ϑ+vj)ζj1(logζjς)ϑ+vj1|μ(ς)|ςdς1Γ(ϑ)T1(logTς)ϑ1|μ(ς)|ςdς]+1Γ(ϑ)t1(logtς)ϑ1|μ(ς)|ςdς,||μ(ς)||E(logt)ϑ1|Π|[li=1|ηi|(logξi)ϑΓ(ϑ+1)+kj=1ϱj(logζj)ϑ+vjΓ(ϑ+vj)+(logT)ϑΓ(ϑ+1)]+(logT)ϑΓ(ϑ+1):=L. (3.7)

    Thus, ||P(X)||L.

    Step 3. P(Br) is equi-continuous.

    For 1t1<t2T, and XBr, we obtain

    |(PX)(t2)(PX)(t1)|(logt1)ϑ1(logt2)ϑ1|Π|[li=1ηi1Γ(ϑ)ξi1(logξiς)ϑ1H1(t,X(t),H(X(ς)))(ς)ςdς+kj=1ϱj1Γ(ϑ+vj)ζj1(logζjς)ϑ+vj1|H1(ς,X(ς),H(X(ς)))|ςdς1Γ(ϑ)T1(logTς)ϑ1|H1(ς,X(ς),H(X(ς)))|ςdς]+1Γ(ϑ)|t11((logt1ς)ϑ1(logt2ς)ϑ1)|H1(ς,X(ς),H(X(ς)))|ςdς|1Γ(ϑ)|t2t1(logt2ς)ϑ1|H1(ς,X(ς),H(X(ς)))|ςdς|,|(logt1)ϑ1(logt2)ϑ1|Φ||[li=1|ηi|(logξi)ϑΓ(ϑ+1)+kj=1ϱj(logζj)ϑ+vjΓ(ϑ+vj)+(logT)ϑΓ(ϑ+1)]+1Γ(ϑ)|t11((logt1ς)ϑ1(logt2ς)ϑ1)|H1(ς,X(ς),H(X(ς)))|ςdς|1Γ(ϑ)|t2t1(logt2ς)ϑ1|H1(ς,X(ς),H(X(ς)))|ςdς|.

    As t2t1, the R.H.S. of the above inequality 0. Consequently, we deduce that P is completely continuous.

    Step 4. The priori bounds.

    We need to show that the set Λ={XE:X=Ω(P(X));Ω(0,1)} is bounded. For this, let XΛ,X=Ω(P(X)) for some Ω(0,1). Thus, for each tJ, one has

    (PX)(t)=Ω{(logt)γ1Π[li=1ηi1Γ(ϑ)ξi1(logξiς)ϑ1H1(t,X(t),H(X(ς)))(ς)ςdς+kj=1ϱjIvj1Γ(ϑ)ζi1(logζjς)ϑ1H1(t,X(t),H(X(ς)))(ς)ςdς1Γ(ϑ)T1(logTς)ϑ1H1(t,X(t),H(X(ς)))(ς)ςdς]+1Γ(ϑ)t1(logtς)ϑ1H1(t,X(t),H(X(ς)))(ς)ςdς},  t1,T. (3.8)

    This implies, by (Q2), that:

    |(PX)(t)|=(logt)ϑ1|Π|[li=1ηi1Γ(ϑ)ξi1(logξiς)ϑ1|H1(t,X(t),H(X(ς)))(ς)|ςdς+kj=1ϱj1Γ(ϑ+vj)ζj1(logζjς)ϑ+vj1|H1(ς,X(ς),H(X(ς)))|ςdς1Γ(ϑ)T1(logTς)ϑ1|H1(ς,X(ς),H(X(ς)))|ςdς]+1Γ(ϑ)t1(logtς)ϑ1|H1(ς,X(ς),H(X(ς)))|ςdς,(logt)ϑ1|Π|[li=1ηi1Γ(ϑ)ξi1(logξiς)ϑ1|μ(ς)|ςdς+kj=1ϱj1Γ(ϑ+vj)ζj1(logζjς)ϑ+vj1|μ(ς)|ςdς1Γ(ϑ)T1(logTς)ϑ1|μ(ς)|ςdς]+1Γ(ϑ)t1(logtς)ϑ1|μ(ς)|ςdς,(logt)ϑ1|Π|[li=1|ηi|(logξi)ϑΓ(ϑ+1)||μ(ς)||E+kj=1ϱj(logζj)ϑ+vjΓ(ϑ+vj)||μ(ς)||E+(logT)ϑΓ(ϑ+1)||μ(ς)||E]+(logT)ϑΓ(ϑ+1)||μ(ς)||E:=R. (3.9)

    Thus, ||μ(ς)||ER.

    Therefore, the set Λ is bounded. Hence, we deduce that P has a fixed-point that is a solution to the presumed problem (2.3) as an outcome of Schaefer's fixed-point theorem.

    The next theorem contains the second main result in this paper, which is the uniqueness of the solution to the presumed problem (2.3).

    Theorem 3.3. Suppose that the conditions (Q2) and (Q3) are satisfied such that:

    (L1+L2)M{(logT)ϑΓ(ϑ+1)+(logT)γ1|Π|[li=1|ηi|(logξi)ϑΓ(ϑ+1)+kj=1|ζj|(logζi)ϑ+vjΓ(ϑ+vj+1)+(logT)ϑΓ(ϑ+1)]}<1. (3.10)

    Then, the presumed problem (2.3) has a unique solution on J.

    Proof. We consider the operator P:EE defined as

    P(X)(t)=(logt)γ1Π[li=1ηi1Γ(ϑ)ξi1(logξiς)ϑ1H1(t,X(t),H(X(ς)))(ς)ςdς+kj=1ϱjIvj1Γ(ϑ)ζi1(logζjς)ϑ1H1(t,X(t),H(X(ς)))(ς)ςdς1Γ(ϑ)T1(logTς)ϑ1H1(t,X(t),H(X(ς)))(ς)ςdς]+1Γ(ϑ)t1(logtς)ϑ1H1(t,X(t),H(X(ς)))(ς)ςdς,  t1,T. (3.11)

    We shall show that P is a contraction map. Let X,YE, then one has for each tJ

    |(P(X))(t)(P(Y))(t)|=|(logt)ϑ1Π[li=1ηi1Γ(ϑ)ξi1(logξiς)ϑ1(H1(ς,X(ς),H(X(ς)))H1(ς,Y(ς),H(Y(ς))))dςς+kj=1ϱj1Γ(ϑ+vj)ζj1(logζjς)ϑ+vj1(H1(ς,X(ς),H(X(ς)))H1(ς,Y(ς),H(Y(ς))))dςς1Γ(ϑ)T1(logTς)ϑ1(H1(ς,X(ς),H(X(ς)))H1(ς,Y(ς),H(Y(ς))))dςς]+1Γ(ϑ)t1(logtς)ϑ1(H1(ς,X(ς),H(X(ς)))H1(ς,Y(ς),H(Y(ς))))dςς|(logt)ϑ1Π[li=1ηi1Γ(ϑ)ξi1(logξiς)ϑ1(|H1(ς,X(ς),H(X(ς)))H1(ς,Y(ς),H(Y(ς)))|)dςς
    +kj=1ϱj1Γ(ϑ+vj)ζj1(logζjς)ϑ+vj1|(H1(ς,X(ς),H(X(ς)))H1(ς,Y(ς),H(Y(ς))))|dςς1Γ(ϑ)T1(logTς)ϑ1|(H1(ς,X(ς),H(X(ς)))H1(ς,Y(ς),H(Y(ς))))|dςς]+1Γ(ϑ)t1(logtς)ϑ1|(H1(ς,X(ς),H(X(ς)))H1(ς,Y(ς),H(Y(ς))))|dςς(logt)ϑ1||Π||[li=1|ηi|(logξi)ϑΓ(ϑ+1)||(H1(ς,X(ς),H(X(ς)))H1(ς,Y(ς),H(Y(ς))))||E+kj=1ϱj(logζj)ϑ+vjΓ(ϑ+vj)||(H1(ς,X(ς),H(X(ς)))H1(ς,Y(ς),H(Y(ς))))||E+(logT)ϑΓ(ϑ+1)||(H1(ς,X(ς),H(X(ς)))H1(ς,Y(ς),H(Y(ς))))||E]+(logT)ϑΓ(ϑ+1)||(H1(ς,X(ς),H(X(ς)))H1(ς,Y(ς),H(Y(ς))))||E,(L1+L2M)|X(ς)Y(ς)|×[(logt)ϑ1Π[li=1|ηi|(logξi)ϑΓ(ϑ+1)+kj=1ϱj(logζj)ϑ+vjΓ(ϑ+vj)+(logT)ϑΓ(ϑ+1)]+(logT)ϑΓ(ϑ+1)].

    Therefore, we obtain

    ||(P(X))(t)(P(Y))(t)||(L1+L2M)[(logt)ϑ1Π[li=1|ηi|(logξi)ϑΓ(ϑ+1)+kj=1ϱj(logζj)ϑ+vjΓ(ϑ+vj)+(logT)ϑΓ(ϑ+1)]+(logT)ϑΓ(ϑ+1)]||X(ς)Y(ς)||. (3.12)

    Hence, given the condition (3.10) and the Banach contraction principle, P has a unique fixed-point. Thus, the existence of a unique solution to the presumed problem (2.3).

    In this section we will discuss Ulam-Hyers and Ulam-Hyers–Rassias stability.

    Definition 4.1. Equation (2.3) is UH stable if there exists a real number Cg>0 such that for each ϵ>0 and each zC[J] solution of the inequality:

    |Dϑ0+Z(t)g(t,Z(t),HZ(t))|ϵ, tJ, (4.1)

    there exists a solution YC[J] of Eq (2.3) such that:

    |Z(t)Y(t)|Cgϵ,  tJ.

    Definition 4.2. Equation (2.3) is generalized UH stable if there exists ψgC(R+,R+) with ψg(0)=0, such that for a solution zC[J] of the inequality:

    |Dϑ0+Z(t)g(t,Z(t),HZ(t))|ϵ, tJ, (4.2)

    there exists a solution YC[J] of Eq (2.3) such that:

    |Z(t)Y(t)|ψg(ϵ),  tJ.

    Definition 4.3. Equation (2.3) is UHS stable concerning νC(J,R+) if there exists a real number cg,ν>0 such that for each ϵ>0 and for each ϵ>0 and for each zC[J] solution of the inequality:

    |Dϑ0+Z(t)g(t,Z(t),HZ(t))|ϵν(t), tJ, (4.3)

    there exists a solution YC[J] of Eq (2.3) such that:

    |Z(t)Y(t)|cg,νν(t),  tJ.

    Definition 4.4. Equation (2.3) is generalized UHS stable with respect to νC(J,R+) if there exists cg,ν>0 such that for each zC[J] solution of the inequality:

    |Dϑ0+Z(t)g(t,Z(t),HZ(t))|ϵν(t), tJ, (4.4)

    there exists YC[J] solution of Eq (2.3) such that:

    |Z(t)Y(t)|cg,νν(t),  tJ.

    Remark 4.1. A function zC[J] is a solution of the inequality:

    |Dϑ0+Z(t)g(t,Z(t),HZ(t))|ϵ, tJ, (4.5)

    if there exists a function wC[J] such that:

    (1)|w(t)|ϵ, tJ,(2)Dϑ1+z(t)=g(t,Z(t),HZ(t))+w(t), tJ.

    Remark 4.2. It is clear that:

    (1) Definition (4.1) Definition (4.2).

    (2) Definition (4.3) Definition (4.4).

    Theorem 4.1. Assume that (Q1) and (3.10) are satisfied, then the presumed problem (2.3) is UH stable.

    Proof. Let zC[J] be a solution of the inequality (4.1), and let YC[J] be a unique solution of the given system:

    {HHDϑ,βX(t)=H1(t,X(t),H(X(ς))),  tJ=1,T,X(1)=0,  X(T)=li=1ηiX(ξi)+kj=1ϱjIvjX(ζj),  vj>0,ηi,ϱjR, ζj,ξiJ. (4.6)

    where 1<ϑ<2,

    Given Remark 4.1, we have

    |Z(t)(logt)ϑ1Π[li=1ηi1Γ(ϑ)ξi1(logξiς)ϑ1H1(t,Z(t),H(Z(ς)))(ς)ςdς+kj=1ϱj1Γ(ϑ+vj)ζj1(logζjς)ϑ+vj1H1(ς,Z(ς),H(Z(ς)))ςdς1Γ(ϑ)T1(logTς)ϑ1H1(ς,Z(ς),H(Z(ς)))ςdς]+1Γ(ϑ)t1(logtς)ϑ1H1(ς,Z(ς),H(Z(ς)))ςdς|εtϑΓ(ϑ+1). (4.7)

    Then, for each tJ, we obtain

    |Z(t)X(t)||Z(t)(logt)ϑ1Π[li=1ηi1Γ(ϑ)ξi1(logξiς)ϑ1H1(t,X(t),H(X(ς)))(ς)ςdς+kj=1ϱj1Γ(ϑ+vj)ζj1(logζjς)ϑ+vj1H1(ς,X(ς),H(X(ς)))ςdς1Γ(ϑ)T1(logTς)ϑ1H1(ς,X(ς),H(X(ς)))ςdς]+1Γ(ϑ)t1(logtς)ϑ1H1(ς,X(ς),H(X(ς)))ςdς||Z(t)(logt)ϑ1Π[kj=1ϱj1Γ(ϑ+vj)ζj1(logζjς)ϑ+vj1H1(ς,Z(ς),H(Z(ς)))ςdς1Γ(ϑ)T1(logTς)ϑ1H1(ς,Z(ς),H(Z(ς)))ςdς]+1Γ(ϑ)t1(logtς)ϑ1H1(ς,Z(ς),H(Z(ς)))ςdς||Z(t)(logt)ϑ1Π[li=1ηi1Γ(ϑ)ξi1(logξiς)ϑ1×(H1(ς,X(ς),H(X(ς)))ςH1(ς,Z(ς),H(Z(ς)))ς)dς+kj=1ϱj1Γ(ϑ+vj)ζj1(logζjς)ϑ+vj1×(H1(ς,X(ς),H(X(ς)))ςH1(ς,Z(ς),H(Z(ς)))ς)dς1Γ(ϑ)T1(logTς)ϑ1(H1(ς,X(ς),H(X(ς)))ςH1(ς,Z(ς),H(Z(ς)))ς)dς]+1Γ(ϑ)t1(logtς)ϑ1(H1(ς,X(ς),H(X(ς)))ςH1(ς,Z(ς),H(Z(ς)))ς)dς|εtϑΓ(ϑ+1)+(L1+L2M)×[(logt)ϑ1Π[li=1|ηi|(logξi)ϑΓ(ϑ+1)+kj=1ϱj(logζj)ϑ+vjΓ(ϑ+vj)+(logT)ϑΓ(ϑ+1)]+(logT)ϑΓ(ϑ+1)]|X(t)Y(t)|,εtϑΓ(ϑ+1)+Π1|X(t)Y(t)|εTϑ(1Π1)(ϑ+1),

    therefore,

    |Z(t)X(t)|cgε, (4.8)

    where,

    Π1=(L1+L2M)[(logt)ϑ1Π[li=1|ηi|(logξi)ϑΓ(ϑ+1)+kj=1ϱj(logζj)ϑ+vjΓ(ϑ+vj)+(logT)ϑΓ(ϑ+1)]+(logT)ϑΓ(ϑ+1)]. (4.9)

    This shows that (2.3) is UH stable.

    Theorem 4.2. Assume that Q1Q3 and (3.10) hold. Then, there exists an increasing function νC1σ[J] and a real number ζν>0 such that:

    |Z(t)X(t)|ζνΦ(t),  tJ. (4.10)

    Then (2.3) is UHR stable.

    Proof. Let ZC1σ1,T be a solution of the inequality (4.3) and let XC1σ(J) be the unique solution of the given system:

    {HHDϑ,βX(t)=H1(t,X(t),H(X(ς))),  tJ=1,T,X(1)=0,  X(T)=li=1ηiX(ξi)+kj=1ϱjIvjX(ζj),  vj>0,ηi,ϱjR, ζj,ξiJ, (4.11)

    where 1<ϑ<2.

    By Remark 4.1, we have

    |Z(t)(logt)ϑ1Π[li=1ηi1Γ(ϑ)ξi1(logξiς)ϑ1H1(t,Z(t),H(Z(ς)))(ς)ςdς+kj=1ϱj1Γ(ϑ+vj)ζj1(logζjς)ϑ+vj1H1(ς,Z(ς),H(Z(ς)))ςdς1Γ(ϑ)T1(logTς)ϑ1H1(ς,Z(ς),H(Z(ς)))ςdς]+1Γ(ϑ)t1(logtς)ϑ1H1(ς,Z(ς),H(Z(ς)))ςdς|εζνΦ(t). (4.12)

    Then for each tJ, we obtain

    |Z(t)X(t)||Z(t)(logt)ϑ1Π[li=1ηi1Γ(ϑ)ξi1(logξiς)ϑ1H1(t,X(t),H(X(ς)))(ς)ςdς+kj=1ϱj1Γ(ϑ+vj)ζj1(logζjς)ϑ+vj1H1(ς,X(ς),H(X(ς)))ςdς1Γ(ϑ)T1(logTς)ϑ1H1(ς,X(ς),H(X(ς)))ςdς]+1Γ(ϑ)t1(logtς)ϑ1H1(ς,X(ς),H(X(ς)))ςdς||Z(t)(logt)ϑ1Π[li=1ηi1Γ(ϑ)ξi1(logξiς)ϑ1H1(t,Z(t),H(Z(ς)))(ς)ςdς+kj=1ϱj1Γ(ϑ+vj)ζj1(logζjς)ϑ+vj1H1(ς,Z(ς),H(Z(ς)))ςdς1Γ(ϑ)T1(logTς)ϑ1H1(ς,Z(ς),H(Z(ς)))ςdς]+1Γ(ϑ)t1(logtς)ϑ1H1(ς,Z(ς),H(Z(ς)))ςdς|
    |Z(t)(logt)ϑ1Π[li=1ηi1Γ(ϑ)ξi1(logξiς)ϑ1×(H1(ς,X(ς),H(X(ς)))ςH1(ς,Z(ς),H(Z(ς)))ς)dς+kj=1ϱj1Γ(ϑ+vj)ζj1(logζjς)ϑ+vj1×(H1(ς,X(ς),H(X(ς)))ςH1(ς,Z(ς),H(Z(ς)))ς)dς1Γ(ϑ)T1(logTς)ϑ1(H1(ς,X(ς),H(X(ς)))ςH1(ς,Z(ς),H(Z(ς)))ς)dς]+1Γ(ϑ)t1(logtς)ϑ1(H1(ς,X(ς),H(X(ς)))ςH1(ς,Z(ς),H(Z(ς)))ς)dς|εζνΦ(t)+(L1+L2M)×[(logt)ϑ1Π[li=1|ηi|(logξi)ϑΓ(ϑ+1)+kj=1ϱj(logζj)ϑ+vjΓ(ϑ+vj)+(logT)ϑΓ(ϑ+1)]+(logT)ϑΓ(ϑ+1)]×|X(t)Y(t)|,εζνΦ(t)+Π1|X(t)Y(t)|,εζνΦ(t)(1Π1)(ϑ),

    therefore,

    |Z(t)X(t)|cg,νεν(t). (4.13)

    Hence, (2.3) is UHR stable.

    Example 5.1. Let us investigate nonlocal BVPs employing Hilfer-Hadamard fractional differential equations given by the form:

    {HHDϑ,βX(t)=cos2t(et+2)2|X(t)|+12t1e1/2X(ς)dς  tχ=1,T,X(1)=0,  X(T)=li=1ηiX(ξi)+kj=1ϱjIvjX(ζj),  vj>0,ηi,ϱjR, ζj,ξiJ. (5.1)
    ϑ=6/5,β=1/2,γ=1.6,T=5,η1=1/15,η2=1/10,η3=2/15,ξ1=5/4,ξ2=3/2,ξ3=7/2,ϱ1=6/29,ϱ2=17/50,ϱ3=3/25,ζ1=5/2,ζ2=5/3,ζ3=7/2,Π=0.701548,L1=L2=1/9,M=1/8;

    Hence, the assumptions (Q2) and (Q3) hold. We check the condition,

    (L1+L2)M[(logt)ϑ1Π[li=1|ηi|(logξi)ϑΓ(ϑ+1)+kj=1ϱj(logζj)ϑ+vjΓ(ϑ+vj)+(logT)ϑΓ(ϑ+1)]+(logT)ϑΓ(ϑ+1)]0.2379<1. (5.2)

    Hence, the problem (5.1) has a unique solution on 1,2.

    Example 5.2. Consider the following boundary value problem for the Hilfer-Hadamard-type fractional differential equation:

    {HHDϑ,βX(t)=cos2t(et+2)2|X(t)|+12t1e1/2X(ς)dς  tχ=1,T,X(1)=0,  X(T)=li=1ηiX(ξi)+kj=1ϱjIvjX(ζj),  vj>0,ηi,ϱjR, ζj,ξiJ. (5.3)
    ϑ=6/5,β=1/2,γ=1.6,T=5,η1=1/15,η2=1/10,η3=2/15,ξ1=5/4,ξ2=3/2,ξ3=7/2,ϱ1=6/29,ϱ2=17/50,ϱ3=3/25,ζ1=5/2,ζ2=5/3,ζ3=7/2,Π=0.701548,L1=L2=1/9;

    and

    |H1(t,X,Y)|=132(t+logt)(|X|2+|X|)+(|Y|2+|Y|).

    Clearly,

    |H1(t,X,Y)|19(t+1)(|X|+|Y|)

    and

    |H1(t,X1,Y1)H1(t,X2,Y2)|L1|X1X2|+L2|Y1Y2|.

    Therefore, by Theorem 3.1, the boundary value problem (1.2) has a unique solution on (1,T] with L1 and L2=19=0.1111. We can show that Ω=1.5635, LΩ=0.1735485<1.

    In this study, we have used the Hilfer-Hadamard derivative in conjunction with RLC circuits to investigate various aspects of fractional calculus. Using these mathematical tools, we have investigated the existence, uniqueness, and stability of solutions to fractional differential equations, especially those relevant to RLC circuits. By focusing on the Hilfer-Hadamard derivative, we have expanded our understanding of fractional calculus and its applicability in modeling complex systems such as RLC circuits.

    The work described in this article is novel and considerably adds to the established literature of knowledge on the subject. When the parameters in problems (ηi, ϱj) were specified, our results conformed to a few special cases. Assume that we formulated the problem in Equation (2.3) by taking ϱj in the presented findings:

    {X(1)=0,  X(T)=kj=1ϱjIvjX(ζj),  vj>0,ηi,ϱjR, ζj,ξiJ, (6.1)

    We can then solve the above problem (6.1) by using the methodology employed in the previous section. Future research could focus on different concepts of stability and existence concerning a neutral time-delay system/inclusion and a time-delay system/inclusion with finite delay.

    Remark 6.1. The results presented in this paper extend the theory of fractional differential equations by applying the Hilfer-Hadamard fractional derivative to RLC circuit models. This combination offers deeper insights into both the theoretical and practical aspects of such circuits, particularly through the establishment of existence, uniqueness, and stability results using advanced techniques like Schaefer's fixed-point theorem and Banach's contraction principle. Additionally, the application of Krasnoselskii's fixed-point theorem could be a valuable enhancement to further investigate the existence of solutions, particularly in the context of compact operators on Banach spaces. The inclusion of the Ulam-Hyers and Ulam-Hyers-Rassias stability criteria strengthens the relevance of these results in engineering applications. By employing both analytical techniques and numerical methods, such as the two-step Lagrange polynomial interpolation method, the study not only verifies theoretical findings but also demonstrates practical feasibility. This work opens new directions for the use of fractional calculus in modeling RLC circuits and provides a solid foundation for extending these results to other engineering systems and boundary value problems. Including Krasnoselskii's fixed-point theorem can deepen the mathematical rigor of your work, particularly when dealing with non-linear problems or specific functional spaces.

    M. Manigandan: Conceptualization; R. S. Shanthi and M. Manigandan: Methodology; R. Meganathan and M. Rhaima: Formal analysis; R. S. Shanthi and M. Rhaima: Investigation; M. Manigandan and R. S. Shanthi: Writing-original draft; M. Rhaima and R. Meganathan: Writing-review & editing; R. S. Shanthi and M. Rhaima: Supervision. All authors have read and agreed to the published version of the manuscript.

    M. Rhaima was supported by Researchers Supporting Project number (RSPD2024R683) King Saud University, Riyadh, Saudi Arabia.

    The authors declare no conflict of interest.



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