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Research article

On the controllability results of semilinear delayed evolution systems involving fractional derivatives in Banach spaces

  • Received: 02 March 2024 Revised: 04 May 2024 Accepted: 06 May 2024 Published: 27 May 2024
  • MSC : 34K30, 34K35, 93C25

  • The paper investigated the exact controllability of delayed fractional evolution systems of order α(1,2) in abstract spaces. At first, the exact controllability result is obtained when the nonlinear term f is locally Lipschitz continuous. Then, the certain compactness conditions and the measure of noncompactness conditions were applied to demonstrate the exact controllability of the concerned problem. The discussion was based on the fixed point theorems and the cosine family theory.

    Citation: Lijuan Qin. On the controllability results of semilinear delayed evolution systems involving fractional derivatives in Banach spaces[J]. AIMS Mathematics, 2024, 9(7): 17971-17983. doi: 10.3934/math.2024875

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  • The paper investigated the exact controllability of delayed fractional evolution systems of order α(1,2) in abstract spaces. At first, the exact controllability result is obtained when the nonlinear term f is locally Lipschitz continuous. Then, the certain compactness conditions and the measure of noncompactness conditions were applied to demonstrate the exact controllability of the concerned problem. The discussion was based on the fixed point theorems and the cosine family theory.



    It is well known that the semilinear evolution equations have a considerable practical background in physics, biology, engineering, and other fields (see [1,2] and the reference therein). For fractional evolution equations, the existence as well as the controllability have become a hot topic in recent years (see, for example, [3,4,5,6]). In [3], Li et al. considered the existence and uniqueness of weak solutions and strong solutions of an inhomogeneous Cauchy problem of Riemann-Liouville fractional evolution equations of order α(1,2) using an α-order fractional resolvent. In [4], by introducing an operator Sα in term of the generalized Mittag-Leffler function and the curve integral, Li et al. investigated the existence and uniqueness of (mild) solutions for a class of Caputo fractional Cauchy problem by means of the Banach fixed point theorem and the Schauder fixed point theorem. In [5], by using the Krasnoselskii fixed point theorem and the solution operator method, the existence of mild solutions to a class of fractional semilinear integro-differential equations of order 1<α<2 was demonstrated. In [6], Yang proved the existence and approximate controllability of the Sobolev-type fractional evolution equations of order α(1,2) using the Sadovskii fixed point theorem and the resolvent operator theory.

    In this article, we demonstrate the exact controllability of the delayed fractional control system in the Banach space E

    {Cαty(t)=Ay(t)+f(t,yt)+Bv(t),   tU:=[0,c], α(1,2),y(t)=ϕ(t),    t[r,0],y(0)=y1, (1.1)

    where Cαt represents the fractional partial derivative operator on t of order α in the Caputo sense, A:D(A)EE is a densely-defined and closed linear operator in E, D(A) is the domain of A equipped with the norm xD(A)=x+Ax for xD(A), f is a given function which represents the nonlinear term, vL2(U,H), H is another Banach space, y1E and ϕ:[r,0]E is continuous, B:HE is a linear operator. For any tU, yt(θ)=y(t+θ) for any θ[r,0]. r and c are given positive constants.

    The observation of the electromagnetic, acoustic, and mechanical influence shows that there exist some transfer processes in a medium, which are not described by a usual diffusion equation. Fractional Cauchy problems are useful in physics to model such anomalous diffusion, see [3] and the references therein. Hence, it is significant to study the control system (1.1).

    In 2021, the Laplace transform method and the cosine family theory were applied by Zhou et al. in [7] to present the suitable definition of mild solutions of the linear inhomogeneous Cauchy problem

    {Cαty(t)=Ay(t)+h(t),   t[0,c], α(1,2),y(0)=y0,  y(0)=y1,

    where y0E and h is a given linear function. Then the controllability was considered for the corresponding semilinear fractional evolution system

    {Cαty(t)=Ay(t)+f(t,y(t))+Bv(t),   t(0,c],α(1,2),y(0)=y0,    y(0)=y1,

    where f(t,y) is global Lipschitz continuous or satisfies a certain compactness condition. Obviously, the global Lipschitz continuity contains local Lipschitz continuity and first-order linear growth condition. The reverse is not true.

    In 2023, Yang in [8] demonstrated the approximate controllability of the fractional control system

    {Lαty(t)=Ay(t)+F(t,˜yt)+Bv(t),   t(0,c], α(1,2),˜y(0)=ϕ(t),   t[r,0],(H2αy)(0)=y1,

    where Lαt is the fractional derivative operator on t of order α in the Riemann-Liouville sense, ˜y(t)=t2αy(t) for tU with ˜y(0)=limt0+˜y(t) and ˜yt(θ)=˜y(t+θ) for tU and θ[r,0], Hς(t)=tς1Γ(ς) for t,ς>0, Γ() is the standard Gamma function. The symbol represents the convolution. When the sine family T(t), corresponding to the cosine family {G(t):t0} generated by A, is a compact operator for t>0, the approximate controllability results were obtained.

    The main features of this paper are summarized below:

    (1) The exact controllability of the control system (1.1) is demonstrated in Theorem 3.1 when f is local Lipschitz continuous. Compactness conditions of the nonlinear term f or the cosine family {G(t):t0} or the sine family {T(t):t0} are essential assumptions in existing articles, but we removed it in Theorem 3.1.

    (2) When f satisfies the certain compactness conditions or the measure of noncompactness conditions, the exact controllability of (1.1) is also obtained (see Theorems 3.2–3.4). These results are nature extensions of [7,8].

    Let C([r,c],E) be the Banach space of E-valued continuous functions on [r,c] with the norm yC([r,c],E)=supt[r,c]y(t). B(H,E) represents the Banach space of linear bounded operators from H to E with the norm B. B(E):=B(E,E). We always suppose that BB(H,E), that is, M1>0 such that BBM1.

    Definition 2.1. [9] A family {G(t):tR}B(E) is called the strongly continuous cosine family if it satisfies

    (i) G(0)=I;

    (ii) for any t,sR, G(t+s)+G(ts)=2G(t)G(s);

    (iii) for each xE, tG(t)x is continuous on R.

    Set

    T(t)y:=t0G(θ)ydθ,    tR,yE.

    Then {T(t):tR} is called the sine family corresponding to {G(t):tR}. Let

    D(A)={yE:G(t)yC2(R,E)},
    Ay=d2dt2G(t)y|t=0,   yD(A).

    Then A generates a cosine family {G(t):tR}. Therefore, we make the following assumption on A.

    (P1) A:D(A)EE generates a strongly continuous cosine family {G(t):t0} and

    G(t)BM,    t0,

    where M1 is a constant.

    Let β=α2. Then β(12,1). We recall the function

    Mϱ(θ)=m=0(θ)mm!Γ(1ϱ(m+1)),    θC, ϱ(0,1),

    where C is the imaginary line.

    By [7], the following definition and lemmas are achieved.

    Definition 2.2. [7] For each vL2(U,H), yC([r,c],E) is called the mild solution of (1.1) if y(t)=ϕ(t) for t[r,0], y(0)=y1 and

    y(t)=Ψβ(t)+t0Pβ(ts)[f(s,ys)+Bv(s)]ds,    tU,

    where

    Ψβ(t)=Cβ(t)ϕ(0)+Kβ(t)y1,Cβ(t)=0Mβ(θ)G(tβθ)dθ,Kβ(t)=t0Cβ(θ)dθ,Pβ(t)=0βθtβ1Mβ(θ)T(tβθ)dθ.

    Lemma 2.1. [7] Let (P1) hold. Then for any t0 and yE, we have

    Cβ(t)yMy,     
    Kβ(t)yMyt,
    Pβ(t)yMyΓ(2β)t2β1.

    Lemma 2.2. [7] If (P1) is fulfilled, then

    (i) {Cβ(t):t0} is strongly continuous;

    (ii) {Kβ(t):t0} and {Pβ(t):t0} are uniformly continuous;

    (iii) Pβ(t) is a compact operator for t>0 if T(t),t>0, is compact.

    By Lemma 2.9 of [8], we can achieve the following lemma.

    Lemma 2.3. [8] If (P1) holds and T(t) is compact for t>0, the operator Φ:L2(U,E)C(U,E), defined by

    (Φϖ)(t)=t0Pβ(ts)ϖ(s)ds,   ϖL2(U,E),

    is compact.

    For the nonlinear term f, we make the assumptions below.

    (P2) f:U×C([r,0],E)E is continuous and for each R>0, there is K(R)>0 satisfying

    f(t,ψ1)f(t,ψ2)K(R)ψ1ψ2C([r,0],E)

    for any tU and ψjC([r,0],E) with ψjC([r,0],E)R,j=1,2.

    (P3) There is φL2(U,R+) satisfying

    f(t,ψ)φ(t),    tU, ψC([r,0],E).

    Lemma 2.4. Let assumptions (P1) and (P3) hold. For each vL2(U,H), if yC([r,c],E) is the mild solution of (1.1) associated with v, there is R>0 satisfying

    yC([r,c],E)R.

    Proof. By Definition 2.2, we have y(t)=ϕ(t) for t[r,0]. Then yC([r,0],E)ϕC([r,0],E).

    If t[0,c], by (P1) and (P3), we have

    y(t)Mϕ(0)+Mcy1+MΓ(2β)t0(tθ)2β1f(θ,yθ)dθ+MΓ(2β)t0(tθ)2β1Bv(θ)dθMϕ(0)+Mcy1+MΓ(2β)t0(tθ)2β1φ(θ)dθ+MM1Γ(2β)t0(tθ)2β1v(θ)dθMϕ(0)+Mcy1+MσΓ(2β)φL2+MM1σΓ(2β)vL2:=R,

    where σ=c2β124β1. Choosing R:=R+ϕC([r,0],E), we get

    yC([r,c],E)R.

    This completes the proof.

    Definition 2.3. For each ˉyE, if there is vL2(U,H) such that the control system (1.1) has a mild solution yC([r,c],E) corresponding to v satisfying y(c)=ˉy, then the control system (1.1) is called exactly controllable on [r,c].

    Define an operator W by

    Wv=b0Pβ(bs)Bv(s)ds.

    Obviously, W:L2(U,H)E is a linear operator.

    (P4) (i)W1 exists and takes values in L2(U,H)KerW.

    (ii) There is M2>0 such that

    W1M2.

    According to (P4) and the definition of W, we choose a control vyL2(U,H) by

    vy(t)=W1[ˉyΦβ(c)c0Pβ(cθ)f(θ,yθ)dθ](t),   tU. (2.1)

    If yC([r,c],E) is a mild solution of (1.1) associated with vy, by (2.1) and Definition 2.2, we have

    y(c)=Ψβ(c)+c0Pβ(cθ)[f(θ,yθ)+Bv(θ)]dθ=Ψβ(c)+c0Pβ(cθ)f(θ,yθ)dθ+c0Pβ(cθ)BW1[ˉyΦβ(c)c0Pβ(cs)f(s,ys)ds](θ)dθ=ˉy.

    This fact implies that (1.1) is exactly controllable according to Definition 2.3.

    Lemma 2.5. Let (P1),(P3) and (P4) hold. For any yC([r,c],E), there is K1>0 satisfying

    vyL2K1.

    Proof. For any yC([r,c],E), by (P1),(P3) and (P4), we have

    vyL2=(b0vy(t)2dt)12M2c12[ˉy+Mϕ(0)+Mcy1+MΓ(2β)c0(cθ)2β1f(θ,yθ)dθ]M2c12[ˉy+Mϕ(0)+Mcy1+MΓ(2β)c0(cθ)2β1φ(θ)dθ]M2c12[ˉy+Mϕ(0)+Mcy1+MσΓ(2β)φL2]:=K1.

    This completes the proof.

    For any R>0, put BC(R):={yC([r,c],E):yC([r,c],E)R}.

    Lemma 2.6. Let (P1),(P2) and (P4) hold. For any y1,y2BC(R), there is K2>0 satisfying

    vy1(t)vy2(t)K2y1y2C([r,c],E),   tU.

    Proof. For any y1,y2BC(R), by (P1),(P2) and (P4), we have

    vy1(t)vy2(t)MM2Γ(2β)c0(cθ)2β1f(θ,y1θ)f(θ,y2θ)dθMM2K(R)Γ(2β)c0(cθ)2β1y1θy2θdθMM2K(R)c2βΓ(2β+1)y1y2C([r,c],E).

    By choosing K2=MM2K(R)c2βΓ(2β+1), we obtain the desired conclusion.

    Theorem 3.1. Let (P1)(P4) be fulfilled. Then the control system (1.1) is exactly controllable on [r,c] provided that

    MK(R)c2βΓ(2β+1)(1+MM1M2c2βΓ(2β+1))<1. (3.1)

    Proof. Defined Q:C([r,c],E)C([r,c],E) by

    (Qy)(t)={Ψβ(t)+t0Pβ(ts)[f(s,ys)+Bvy(s)]ds,    tU,ϕ(t),    t[r,0]. (3.2)

    By Definition 2.2 we know that the mild solution of (1.1) is equivalent to the fixed point of Q.

    Let RMϕ(0)+Mcy1+MσΓ(2β)φL2+MM1σΓ(2β)K1+ϕC([r,0],E). We first prove that Q(BC(R))BC(R). For any yBC(R), it is easy to see

    QyC([r,0],E)ϕC([r,0],E). (3.3)

    For t[0,c], by (P1),(P3) and Lemma 2.5, we have

    (Qy)(t)Ψβ(t)+MΓ(2β)t0(tθ)2β1f(θ,yθ)dθ+MΓ(2β)t0(tθ)2β1Bvy(θ)dθMϕ(0)+Mcy1+MΓ(2β)t0(tθ)2β1φ(θ)dθ+MM1Γ(2β)t0(tθ)2β1vy(θ)dθMϕ(0)+Mcy1+MσΓ(2β)φL2+MM1σΓ(2β)K1.

    This fact, together with (3.3), yields that

    QyC([r,c],E)R.

    Thus, Q maps BC(R)) into itself.

    Then, we claim that Q:BC(R))BC(R)) is a contraction mapping. For any y1,y2BC(R)), if t[r,0], (Qy1)(t)=(Qy2)(t)=ϕ(t). If t[0,c], by (P1),(P2) and Lemma 2.6, we achieve that

    (Qy1)(t)(Qy2)(t)MΓ(2β)t0(tθ)2β1f(θ,y1θ)f(θ,y2θ)dθ+MM1Γ(2β)t0(tθ)2β1vy1(θ)vy2(θ)dθMK(R)Γ(2β)t0(tθ)2β1y1θy2θC([r,0],E)dθ+MM1Γ(2β)t0(tθ)2β1vy1(θ)vy2(θ)dθMc2βΓ(2β+1)(K(R)+M1K2)y1y2C([r,c],E).

    According to (3.1) we deduce that Q:BC(R))BC(R)) is a contraction mapping.

    As such, Q has a unique fixed point yBC(R))C([r,c],E), which is the mild solution of (1.1).

    Remark 3.1. Since the global Lipschitz continuity contains local Lipschitz continuity (but the reverse is not true), Theorem 3.1 is an improvement of Theorem 4.1 of [7].

    Theorem 3.2. Let (P1),(P3) and (P4) hold. If f:U×C([r,0],E)E is continuous, and the condition (P5) is satisfied, where

    (P5) For any tU and R>0, the set

    {Pβ(ts)f(s,x):s[0,t],xC([r,0],E)R}

    is relatively compact in E, then the system (1.1) is exactly controllable on [r,c].

    Proof. Put the operator Q:C([r,c],E)C([r,c],E) as in (3.2). It follows from the proof of Theorem 3.1 that Q(BC(R))BC(R) for some R>0 and Q:BC(R)BC(R) is continuous.

    Next, we will show that Q is a compact operator, that is, Q(BC(R)) is relatively compact. By the Ascoli-Arzela theorem, it suffices to prove that Q(BC(R)) is equicontinuous and {(Qy)(t):yBC(R)} is relatively compact for t[r,c]. By employing Lemma 2.2(i)(ii), the equicontinuity of Q(BC(R)) can be verified using the proof of Theorem 4.2 of [7]. Since (Qy)(t)ϕ(t) for t[r,0], it remains to prove that {(Qy)(t):yBC(R)} is relatively compact for tU. By Lemma 2.5 and (P5), we obtain that

    Ξ(t):={Pβ(ts)[f(s,ys)+Bvy(s)]:s[0,t],yBC(R)} (3.4)

    is relatively compact in E for tU. Hence, we can infer from (3.4) that

    t0Pβ(ts)[f(s,ys)+Bvy(s)dst ¯convΞ(t),   tU,

    where ¯convΞ(t) represents the convex closure of Ξ(t). Therefore, Q(BC(R)) is relatively compact and Q:BC(R)BC(R) is completely continuous. According to Schauder's fixed point theorem, there is a function yQ(BC(R)) satisfying y=Qy and y(c)=ˉy. Thus the system (1.1) is exactly controllable on [r,c].

    Obviously, if f is uniformly bounded, the assumption (P3) holds automatically. In this case, if we suppose that T(t) is compact for t>0, then the assumption (P5) is fulfilled. Hence, according to Theorem 3.2, the corollary is acquired below.

    Corollary 3.11. Let (P1) and (P4) hold. In addition, f:U×C([r,0],E)E is continuous and uniformly bounded, T(t) is compact for t>0. Then the system (1.1) is exactly controllable on [r,c].

    Remark 3.2. Obviously, if f is completely continuous, the assumption (P5) hold automatically.

    Furthermore, if we achieve the compactness of T(t) for t>0, by Lemma 2.2(iii) and Lemma 2.3, the assumption (P3) yields that

    {t0Pβ(ts)[f(s,ys)+Bvy(s)ds:s[0,t],yBC(R)}

    is relatively compact for tU. By the proof of Theorem 3.2, we can acquire the relative compactness of {(Qy)(t):yBC(R)} for t[r,c]. Hence, the uniform boundedness of f in Corollary 3.11 can be removed.

    Theorem 3.3. Let (P1),(P3) and (P4) hold. In addition, f:U×C([r,0],E)E is continuous and T(t) is compact for t>0. Then the system (1.1) is exactly controllable on [r,c].

    From Corollary 3.1 and Theorem 3.3, we can see that the assumption (P5) and the compactness of T(t) for t>0 are too strong. It is of interesting to weaken or remove such assumptions. Next, we will apply the measure of noncompactness method to discuss the exact controllability of (1.1).

    Let E be a Banach space and DE a bounded subset of E. We define

    χ(D):=inf{ϵ>0:D has finite ϵ-net in E}

    the Hausdorff measure of noncompactness in E. If DC(U,E) is bounded, D(t):={y(t):yD}E is bounded for each tU and χ(D(t))χ(D).

    Lemma 3.1. [10] If DE is bounded, then there exists a countable subset D0D such that

    χ(D)2χ(D0).

    Lemma 3.2. [11] If DC(U,E) is bounded and equicontinuous, then χ(D(t)) is continuous for tU and

    χ(D)=suptUχ(D(t)).

    Lemma 3.3. [12] Let D:={yn}C(U,E) be countable. If there is ωL1(U) such that, for each n1, yn(t)ω(t) a.e., then χ(D(t)) is Lebesgue integrable on U and

    χ({Uyn(t)dt})2Uχ(D(t))dt.

    Furthermore, we make the assumptions below.

    (P6) f:U×C([r,0],E)E is continuous and there is a function ηL2(U,R+) such that for each bounded subset D1C([r,0],E), we have

    χ(f(t,D1))η(t)suprs0χ(D1(s)),    tU.

    (P7) There is a constant L>0 such that

    χ(W1(D2)(t))Lχ(D2),    tU

    for each bounded subset D2E.

    Theorem 3.4. Let (P1),(P3),(P4),(P6) and (P7) be fulfilled and

    MσΓ(2β)(1+2MLM1c2βΓ(2β+1))ηŁ2<14. (3.5)

    Then, the system (1.1) is exactly controllable on [r,c].

    Proof. From the Theorem 3.2 and its proof, we obtain that Q:BC(R)BC(R), defined as in (3.2), is continuous and equicontinuous. Next, we will verify that Q:BC(R)BC(R) is a condensing mapping using (P6) and (P7).

    Since for any θU, we have

    suprτ0χ({yθ(τ):yBC(R)})sup0τ0χ({y(τ):yBC(R)})χ(BC(R)), (3.6)

    according to (P6),(P7), (3.6) and (2.1), we can deduce that

    χ({Bvy(s):yBC(R)})2MM1LσΓ(2β)ηL2χ({BC(R)}). (3.7)

    Since Q(BC(R)) is bounded and equicontinuous, according to Lemma 3.1 and Lemma 3.2, there is a countable subset {yn:n1}BC(R) such that

    χ(Q(BC(R))) 2χ({(Qyn):n1})= 2supt[r,c]χ({(Qyn)(t):n1}). (3.8)

    Obviously, for t[r,0], (Qyn)(t)ϕ(t) for n1, so

    χ({(Qyn)(t):n1})=0.

    For tU, by (3.6), (3.7) and Lemma 3.3, we can infer that

    χ({(Qyn)(t):n1}) 2MΓ(2β)t0(ts)2β1χ({f(s,yns)+Bvyn(s):n1})ds 2MΓ(2β)t0(ts)2β1η(s)suprθ0χ({yns(θ):n1})ds+2MΓ(2β)t0(ts)2β1χ({Bvyn(s):n1})ds 2MσΓ(2β)(1+2MM1Lc2βΓ(2β+1))ηŁ2χ(BC(R)).

    The above facts together with (3.8) yield that

    χ(Q(BC(R))) 2supt[r,0]χ({(Qyn)(t):n1})+2suptUχ({(Qyn)(t):n1}) 4MσΓ(2β)(1+2MM1Lc2βΓ(2β+1))ηŁ2χ(BC(R)).

    According to (3.5), we acquire that Q:BC(R)BC(R) is a condensing mapping. By Sadovskii's fixed point theorem, there exists yBC(R) satisfying y=Qy and y(c)=ˉy. Therefore, the system (1.1) is exactly controllable on [r,c].

    Remark 3.3. In Theorem 3.4, we remove the assumption (P5) and the compactness of the sine family {T(t):t0}, which are essential assumptions in [7,8]. Hence, our results extend many existing research works.

    Remark 3.4. In [7], under the global Lipschitz condition or certain compactness conditions on nonlinear term f, the exact controllability of the Caputo fractional evolution equations without delay was investigated. Compared with the main results of [7], we consider the delayed control system (1.1). Theorem 3.1 is obtained when the nonlinear term f is locally Lipschitz continuous. Theorem 3.2 and Theorem 3.3 are achieved under certain compactness conditions. The measure of noncompactness conditions are applied in Theorem 3.4. Therefore, our conclusions improve the major results of [7].

    Let ΩRN be an open subset with Dirichlet boundary conditions. We focus on the fractional delayed evolution system

    {C32ty(t,z)=Δy(t,z)+f(t,z,yt)+Bv(t,z),    t(0,1],  zΩ,   α(1,2),y(t,z)=ϕ(t,z),    t[r,0],y(0,z)=y1(z), (4.1)

    where C32t represents the fractional partial derivative operator on t of order 32 in the Caputo sense, Δ represents the Laplace operator, vL2([0,1]×Ω,L2(Ω)) stands for the control function. f is the nonlinear function satisfying the following conditions.

    (A1) f:[0,1]×Ω×C([r,0],L2(Ω))L2(Ω) is continuous and for each R>0, there exists a constant K(R)>0 such that

    f(t,z,ϕ1)f(t,z,ϕ2)L2(Ω)K(R)ϕ1ϕ2C([r,0],L2(Ω))

    for any t[0,1] and ϕjC([r,0],L2(Ω)) with ϕjC([r,0],L2(Ω))R,  j=1,2.

    (A2) There is φL2([0,1],R+) such that

    f(t,z,ϕ)L2(Ω)φ(t)

    for any t[0,1],zΩ and ϕC([r,0],L2(Ω)).

    Let E=H=L2(Ω). We define

    D(A)=W2,2(Ω)W1,20(Ω),
    Ay=Δy.

    Then, by [7,13], A:D(A)EE generates a strongly continuous cosine family {G(t):t0} in E satisfying G(t)B1 for every t0.

    Define B:HE by

    Bv=n=1μnˆv,ϖnϖn,

    where

    ˆv={v,ϖn,   n=1,2,,,0,    n=+1,+2,

    for N. μn=n2π2 is eigenvalues of A with the corresponding eigenvectors ϖn(z)=2πsin(nπz) for nN. From [7], there is a positive constant M1 satisfying BBM1.

    Define the operator W:L2([0,1],L2(Ω))L2(Ω) by

    Wv=10P34(1s)Bv(s)ds,

    where

    P34(t)=t14034θM34(θ)T(t34θ)dθ,    t[0,1]

    and {T(t):t0} is the sine family corresponding to {G(t):t0} generated by A.

    (A3) W1 exists and takes values in L2([0,1],L2(Ω))KerW and there is M2>0 such that

    W1M2.

    Thus, we can rewrite the fractional delayed evolution system (4.1) into the abstract fractional control system (1.1). By Theorem 3.1, we can achieve the cxact controllability result.

    Theorem 4.1. Assume that conditions (A1)(A3) hold. Then the fractional delayed evolution system (4.1) is exactly controllable provided that

    K(R)Γ(52)(1+M1M2Γ(52))<1.

    This paper deal with the exact controllability of the control system govern by evolution equations involving Caputo fractional derivatives of order α(1,2) in abstract spaces. At first, the exact controllability of the delayed system (1.1) is studied when f is local Lipschitz continuous. Then, the certain compactness conditions and the measure of noncompactness conditions are employed to demonstrate the exact controllability of (1.1) in this article. The results improve and generalize the conclusions of many researchers. In the future, the method can be applied to study the controllability of the Sobolev-type fractional evolution equations. By utilizing the compactness of the Sobolev operator, we can delete compactness conditions on the nonlinear term f and the sine family {T(t):t0}.

    The author declare that they have not used Artificial Intelligence (AI) tools in the creation of this article.

    The research is supported by the NNSF of China (No. 32060581).

    The author declares that there is no conflict of interest.



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