Abstract and Applied Analysis

Volume 2014 (2014), Article ID 247375, 19 pages

http://dx.doi.org/10.1155/2014/247375

Research Article

On Nonnegative Solutions of Fractional -Linear Time-Varying Dynamic Systems with Delayed Dynamics

M. De la Sen

Institute for Research and Development of Processes, Faculty of Science and Technology, University of Basque Country, Campus of Leioa, Barrio Sarriena, P.O. Box 48940, Leioa, Spain

Received 8 January 2014; Accepted 8 February 2014; Published 8 May 2014

Academic Editor: Dumitru Baleanu

Copyright © 2014 M. De la Sen. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract.

This paper is devoted to the investigation of nonnegative solutions and the stability and asymptotic properties of the solutions of fractional differential dynamic linear time-varying systems involving delayed dynamics with delays. The dynamic systems are described based on -calculus and Caputo fractional derivatives on any order.

1. Introduction

There are abundant background results concerning the exact and approximate solutions of fractional differential equations [1–4], fractional derivatives involving products of polynomials [5, 6], fractional derivatives and fractional powers of operators [7–9], and boundary value problems concerning fractional calculus in a theoretical context and also concerning a wide range of applications like, for instance, control theory, robotics, signal processing, heat transfer, lossless transmission lines, and so forth [1–22]. In particular, some generalized operators of fractional integration have been recently applied to the product of generalized Bessel functions of the first class in [6] leading to multivariable generalized Lauricella-type functions. Furthermore, related generalized fractional integrals are also discussed in that paper. On the other hand, new unified integral formulas involving products of Srivastava-type polynomials and the -function as well as fractional integration for Appell’s functions are discussed in [23, 24].

This paper is concerned with the investigation of nonnegative solutions of fractional -differential dynamic systems with point delays and some related asymptotic properties formulated by the Caputo fractional derivative. See, for instance, [25–31] for formulations of functional dynamic systems under delays. Some of these papers are concerned with fundamental properties of positive dynamic systems or with the nonnegative solutions of dynamic systems in a fractional context. See, for instance, [32–34]. On the other hand, see [13–22, 32–39] for a background on quantum and fractional calculus and some related applications to dynamic systems.

The Caputo -difference scheme has been proposed in [40] and then the problems of initial values are investigated in [41, 42]. In particular, a Caputo-type -fractional initial value problem is solved in [41] with the solution being formulated in terms of a new -Mittag-Leffler function. On the other hand, the related investigation in [42] is focused on analytical aspects of -fractional calculus while the variational iteration method is extended “ad hoc” to -fractional calculus in order to solve the Caputo -fractional initial value problem. There is also a recent monograph [43] available on the fractional -difference methodology which is of potential interest for readers interested in quantum fractional calculus. Also, it has to be pointed out that an increasing research interest is being devoted to the use of fractional calculus in the analysis of mathematical models based on partial differential equations. In particular, the fractal heat conduction problem is solved by proposing a local fractional variation iteration method in [44]. On the other hand, the solutions of the Helmholtz equation involving local fractional derivative operators are investigated in [45] combined with series expansion and variational iteration methods.

It might be pointed out that positive dynamic models are an essential tool to describe some real world applications as, for instance, medical, biological, or epidemic models. It has to be pointed out that a major advantage of the use of -calculus is that it does not need the existence of limits or restrictive regularity conditions on the functions dealt with in order to establish the formulation. In particular, derivatives and higher-order derivatives of a wide class of functions exist almost everywhere under the -calculus framework [37]. In this context, the -calculus formalism on differ-integral systems is close to the classical one on difference systems with the additional advantage that the parameter running the samples can be chosen to be real so that it links the selection of the sampling points in a multiplicative fashion. Such sampling points are backward-in-time dependent on each time instant for which the -fractional solution is evaluated while asymptotically vanishing to zero as the number of used samples increases to infinity for each given time instant where the quantum fractional solution is being computed.

1.1. Notation

, , and are the sets of integer, real, and complex numbers, and are the positive integer and real numbers, and

The following notation is used to characterize different levels of positivity of matrices.

is the set of all real matrices of nonnegative entries. If then is used as a simpler notation for .

is the set of all nonzero real matrices of nonnegative entries (i.e., those with at least one of their entries being positive). If then is used as a simpler notation for .

is the set of all real matrices of positive entries. If then is used as a simpler notation for . The superscript denotes the transpose and and are, respectively, the th row and the jth column of the matrix .

A close notation to characterize the positivity of vectors is the following.

is the set of all real vectors of nonnegative components. If then is used as a simpler notation for .

is the set of all real nonzero vectors of nonnegative components (i.e., at least one component is positive). If then is used as a simpler notation for .

is the set of all real vectors of positive components. If then is used as a simpler notation for .

is a Metzler matrix if . is the set of Metzler matrices of order .

The maximum real eigenvalue, if any, of a real matrix , is denoted by .

, , and mean, respectively, , , and for being any real scalars, vectors, or matrices of compatible dimensions or orders.

The following fundamental result of [32] is concerned with the unique left-sided solution on of the differential fractional system (36).

Theorem 1. Consider the Caputo fractional differential system of order with (potentially repeated) delays and distinct delays:

on , for any with if and if ; , are distinct constant delays, , are the matrices of dynamics for each delay , is the control matrix and with initial condition of the state being given by -real vector functions , with , which are absolutely continuous except eventually in a set of zero measure of of bounded discontinuities with and is a bounded piecewise continuous control function. Then, the unique left-sided solution of (2) is given by

with if and if , where

for and for , where are the Mittag-Leffler functions.

If -calculus is used then the integral formulas of Theorem 1 are not necessary to calculate the fractional Caputo-type solutions of any order as shown in the subsequent example.

Example 2. Consider the differential equation , . The standard solution for any real and is . It is globally stable (resp., globally asymptotically stable) for (resp., for ) and nonnegative for any if .

The use of -calculus for yields

then, the solution becomes

(a)If then it is positive if and but any -solution is unbounded if and if and if .(b)If then so that the -solution is constant, globally stable, and nonnegative if .(c)If then ; with the first inequality being obvious and the second one being proved by contradiction. Assume that the second inequality is false. Then, there is , so that there is , such that for any , the subsequent contradiction is got:

Since is bounded for for any given then . Therefore, for the -differential equation has a nonnegative -solution on for any and it is globally asymptotically stable. On the other hand, the Caputo fractional solution of real order of the associate fractional differential equation is

The formulation within the -calculus framework leads to

Note that the solution is positive for any order if and for and . Assume that, for , there is some such that and for and some since it follows from continuity arguments that if it is negative at a point it is also negative on some interval containing the point. Then, the following contradiction arises:

so that any Caputo fractional solution of any real order is nonnegative for and any given initial conditions for . Since any solution is nonnegative for any nonnegative initial conditions, then if , one gets for the case of interest for

and then global (resp., global asymptotic) stability holds for (resp., for ) while the solutions are nonnegative for any nonnegative initial conditions and any real . These stability properties are independent of the nonnegativity of the solutions since if then by continuity of the solutions in some interval so that

and is large enough, since is strictly increasing since it possesses a nonnegative integrand, so that there is such that and then ; , that is, the solution reaches the zero-equilibrium in finite time and global asymptotic stability is guaranteed. To evaluate the error between the -calculus solution and the standard one, denote them, respectively, as and and then define the extended vector . The substitution of both solutions yields

Note that for , the first eigenvalue of the matrix of dynamics tends to if and to zero if while the second one converges to zero as in both cases. Thus, the error between both solutions converges asymptotically to zero if . If then , .

2. Preliminaries on Fractional -Differential Systems

Fundamental definitions of -calculus are [35–38]

The -power function is

If then the -power function is

leading, in particular, to . Formula (16) is the -analog of the Pochhammer symbol (-shifted factorial) [36]. The -derivative of a function is defined by

[35, 36] and the -derivative of high -order of a function is defined by and

Lemma 3. The following properties hold.

(i)The commutation property ; , holds for any real .(ii)The commutation property ;, holds for for any ,, such that , provided that exists for any .(iii) or any real , and also for if exists for any .(iv)

for all , holds for any real and also for if

exist for all .

Proof. First, note that for the identity always holds for , with , which ensures the existence of for and . Proceed now by complete induction and assume that, for some given , the commutation property below holds for the existing for any real :

Then, by using the commutation property of the operator on for any real

The commutation of the operator composition for any nonzero has been proven. Now, for any integer we can find integers (being nonunique for ) such that . Hence, and the result follows by taking an arbitrary and nonzero . Property (i) has been proved. Property (ii) can be proved in the same way for and any such that exists for . Properties (i)–(iii) have been proved.

On the other hand, the -derivative operator (17) is a linear operator [37], so that

Property (i) and (23) yield for , and also for if exists for any , the following relationships:

Hence, Property (iii) follows.

To prove Property (iv), define the time -delay operator on as so that , with . Now, for any nonzero real , assume that the property is true for and some given . Thus,

for from (19) (first identity) and the definition of the operator (second identity). Then, one gets from the definition of the -derivative in (17) the use of the first and second identities of (25) for , with , the identity , and, finally, the second identity in (25) for :

so that if (19) holds for any given real and for any given then it also holds for and such a nonzero real . Then, by complete induction, (19) is true for any nonnegative integer . If exists for any the result also applies for .

Assume that for some real interval . Then, the Riemann-Liouville left-sided fractional -derivative of order of the vector function in is point-wise defined as

where and ∖ , where , is the -gamma function defined as ; ∖ which satisfies the following relations [35, 36]:

where for is a -real number. Remember that the usual gamma function is defined by ; ∖ . Now, we can replace the standard simple and higher-order derivatives under the integral symbol by their -derivative versions to build the Caputo fractional -derivative by using the identities

in ; then the Caputo left-sided fractional -derivative of order of the vector function in is point-wise defined as

where if and if . Note that the existence of in (30) is not required, as it is required in the standard fractional calculus for the existence of Caputo derivatives since the existence of the standard and higher-order fractional -derivatives is ensured.

Example 4. Consider the differential dynamic system

where are distinct constant delays, are the matrices of dynamics for each delay , is the control matrix and with initial condition of the state being given the real vector function , which is absolutely continuous except eventually in a set of zero measure of of bounded discontinuities with , and is a bounded piecewise-continuous control function. Some results about the nonnegativity of the solutions of (31) by using standard, fractional and -calculus follow below.

Proposition 5. The solution of (31) is nonnegative on for any and if and only if, and .

Proof. The sufficiency part of the proof is direct since the unique left-sided mild solution is given by

It turns out that, under the given assumptions, and then the solution is nonnegative; since ; since . On the other hand,

It is easy to see that it is always possible to get by construction if any of the conditions , ; , , or fails for some and by taking some large component in either the initial condition function or the control function corresponding to a negative entry of the matrix whose positivity condition fails.

Proposition 6 (Theorem 4.1(iii) of [32]). Any solution (37) to any Caputo fractional differential system of fractional order is nonnegative independent of the delays; that is, for some , for any set of delays satisfying and any absolutely continuous functions of initial conditions , and any piecewise continuous control , if and only if for being sufficiently small. Furthermore, either if, in addition, or if is nilpotent or if , () and .

Proposition 7. Consider the -calculus version of (31) under similar initial conditions:

Assume that , , . Then,

(i); if either or and for  all   (≠ i).(ii); if with ; and with for only one for each .

Proof. The solution of (34) is

provided that exists. Since , , , for nonnegativity of the solutions the existence of is also required. Note that if and nonsingular then if and only if is monomial (or generalized permutation matrix, i.e., it has only a nonzero entry per row and then only a nonzero entry per column). Due to its structure, this condition can be fulfilled with being diagonal, that is, for in order that is monomial and . Then, if and only if for all either or . Hence, Property (i) follows directly. Property (ii) follows since, under the given constraints, , with , and Metzler, monomial (then nonsingular) so that . Hence, Property (ii) follows.

The following extension of Proposition 7 is obvious.

Proposition 8. Proposition 7 still holds if ; .

3. Fractional -Differential Dynamic Systems of Order with Internal Point Delays

The fractional Caputo -differential dynamic systems of order can become modified from (2). The functions , , and are now displayed to be used later in order to solve such a differential system. The combination of (2) with (24) with the replacement of with leads to

(a)If and then , and

(b)If then , and

Now consider, from (2) and (24), the linear time-varying differential functional left-sided Caputo fractional -differential system of order

with ; , being distinct constant delays; , , are the bounded matrix functions of dynamics for each delay , and is the control matrix function. The initial conditions are given by   -real vector functions , with and with , and is a bounded piecewise continuous control function. The Jackson integral in the integral term in (39) becomes

for . By replacing the dummy argument under the two integral symbols in (40) by and , respectively, since (see [37]):

The series in (41) is convergent for all since the function satisfies in a right neighborhood of for some real constants and . So, the Jackson integral in (40) is convergent since in some right neighbourhood of for real constants and [37, 39]. Equations (40) and (39), together with (18), Lemma 3(see (19)), and (17), yield:

The following auxiliary results hold concerning the product and the series .

Lemma 9. Define . Then, , where

(a) and , , so that , if ;(b) and , , if ;(c).

Proof. Note that

(1);(2)if ;(3)if , with , then ,  , , with and . Assume this is false so that . Then, and, equivalently, , or if (a contradiction).

Lemma 10. Assume that is bounded in a right neighborhood of for some and some real constant . Define

Then, the following identities hold:

for any given if , where , , , ; , since such a limit function exists; , and as ;

where is a nonnegative real sequence which converges to ; is subject to

for any given .

Equations (46)-(47) also hold for by replacing everywhere appears. Consider

where .

Proof. Since is bounded in a right neighbourhood of for some real constant then the Jackson integral

converges to a function on which is a -antiderivative of and which is continuous at with and is a unique in this class of functions [39]. Note that ; ; since the series is convergent, since the Jackson integral (52) is convergent for each fix , and non-decreasing with since it is consists of nonnegative terms. It follows from (43), with the replacement , that

and hence (44) follows. By taking limits as in (44), one gets (46)–(48) since the limit exists for all by using Lemma 3(iv) for the expansion of the -derivative of order since as . Equation (49) follows by defining with for some ; for  all  i (≥N) and some , or equivalently

Hence, (46)–(48) follow from (55) for some strictly decreasing real sequence such that ; (≥N) for .

The quantum Caputo fractional solutions have explicit expressions as formulated in the subsequent result.

Theorem 11. Consider the left-sided -fractional Caputo solution of or fractional order of the functional differential system

with initial condition of the state being defined by -real vector functions , with and , and is a bounded piecewise continuous control function and .

Thus, the unique left-sided solution of (55) is calculated almost everywhere via analytical expressions obtained from Lemma 10 as follows.

(i)If so that then one gets for any given that

, where .(ii)If then one gets for any given that

, where .

Proof. One can evaluate the approximation of (42) for and by using (46) as

where

with , as , . On the other hand, for and , note that from (37)-(38) so that (58) (with ) becomes simplified as follows:

Thus, the (unique) left-sided solution of (55) follows directly from (59) and (60).

A variant of Theorem 11 might be obtained in a simple way by selecting the initial point so that the real interval has a constant measure for each (≥h)    independent of . For that purpose, one implements the quantum fractional left-sided Caputo derivative with the operator replacing while fixing in (42) to reformulate (55) with the appropriate “ad hoc” modifications of (56) and (57).

Theorem 12. Consider the left-sided -fractional Caputo solution of or fractional order of the functional differential system

for some prefixed , with initial condition of the state being defined by -real vector functions , with , which are bounded with , and is a bounded piecewise continuous control function and .

Thus, the unique left-sided solution of (55) is calculated almost everywhere via analytical expressions as follows.

(i)If so that then one gets for any given that

, where , where and are got by replacing in their counterparts and defined in (47)-(48).(ii)If then one gets for any given that

, where , where and are got by replacing in their counterparts and defined in (47)-(48).

Proof. It is omitted since it follows directly as that of Theorem 11 by using (42) with , .

The following auxiliary result is useful to then formulate the solution calculation under a finite truncation of the infinite series associated with the Jackson integral.

Lemma 13. The following properties hold.

(i)For any and any finite real and , the limits below exist:

(ii)Assume, furthermore, that the solution of (61) has the following property:

 Then, the limit below exists:

Proof. One gets from Lemma 10, (48) that

since

In a similar way, one can obtain

and hence Property (i) follows since one has from (67) and (69) for some finite positive real constants and that

Note that if the solution of (61) satisfies (65) then

Then,

so that

and then . Hence, Property (ii) follows.

The subsequent result follows directly from Theorem 12 and Lemma 13.

Theorem 14. The following properties hold for .

(i)If so that then one gets

for any real and , where

If, in addition, is nonsingular and then

(ii)If then one gets

for any real and , where

If, in addition, is nonsingular and then

4. Nonnegativity of the -Solutions of Caputo Fractional Order

The following two results hold for the nonnegativity for all time of the solutions of (55) under certain nonnegative controls.

Theorem 15. Consider the Caputo fractional -differential system of order (55) under a piecewise-continuous control vector function and any set of vector functions of initial conditions , . Assume also that , is a monomial diagonal matrix (i.e., and ) and that the control components satisfy the constraints for some and some real nonnegative strictly decreasing sequence :

where is the unit Euclidean vector of with its th component being one. Then, the solution of (55) is nonnegative, that is, under a nonnegative real control if one of the following conditions holds.

(C1) Either or with and , , or

(C2) , , , with for only one for each , .

Proof. Since then and one gets from (55)–(58), (49), and (80) that

since under any of conditions (C1) or (C2) where is a real vector with all its components being one, since

from (80) and any of (C1)-(C2) implies the existence of ; .

Theorem 16. Under similar assumptions for the control, the matrix and the initial conditions as in Theorem 15, assume that , and that the control components satisfy the constraints

for some and some real nonnegative strictly decreasing sequence . Then, under a nonnegative real control if one of the following conditions holds.

(C3) Either or with and (≠ i) ; for each , or

(C4) with ; and with for only one for each ; for each .

Proof. Since (=k) , one gets from (55)–(58), (49), and (83) that

since there is , under any of conditions (C3) or (C4). Then,

from (83) and any of conditions (C3) or (C4) imply from Proposition 7 the existence of , .

Remark 17. If the -Caputo fractional differential system (61) is considered instead of (55), Theorems 15 and 16 apply with the replacements

for any given and   (≥ζ) with the second replacement leading to the replacement below in (80)–(85) from (67) so as to keep the validity of both theorems under the modified nonnegative controls (80) and (83), respectively:

Theorem 15 is extendable for a nondiagonal square or a rectangular control matrix as follows.

Theorem 18. Consider (55) with under a piecewise-continuous control vector function , with , and any set of vector functions of initial conditions , . Assume also that has positive rows , that the control components of are generated as , where and the solution nonnegativity lower-bounding function satisfy the constraints , and

for some and some nonnegative strictly decreasing sequence . Then, the solution of (55) is nonnegative under a nonnegative real control if either (C1) or (C2) of Theorem 15 holds.

The proof of Theorem 18 is direct and then omitted. Close extensions to Theorem 18 for Theorem 16 () and for Remark 17 (the Caputo fractional derivative operator is defined on finite sliding intervals) can be directly made for a nondiagonal square or a rectangular control matrix.

Theorem 19. Consider (55) under any set of bounded vector functions of initial conditions , . Assume also that , with and , , and that the following control law is used for some given bounded vector function :

Then, the following properties hold.

(i) The solution of (55) is nonnegative and bounded if and either condition (C1) or condition (C2) of Theorem 15 holds. If, in addition, as then the solution of (55) converges asymptotically to so that (55) is globally asymptotically stable for any control law and any set of vector functions of initial conditions satisfying the given constraints.

(ii) Property (i) also holds if and either condition (C3) or condition (C4) of Theorem 16 holds.

Proof. Since for all  and, since , the right generalized inverse of , exists for  all and then (89) is well-posed. One gets from Theorem 15, (84), after substituting (89) into (81)

since and either condition (C1) or condition (C2) of Theorem 15 holds. Then, and it is bounded since is bounded. Note also that a similar upper-bounding expression for can be got by rearranging signs in (81) resulting to be

so that

Thus, if as then as since as and Property (i) has been proved. Property (ii) is similar to the solution satisfying

Note that converges to zero as and as . Thus, for any given and there is such that

As a result, if in (90) is replaced with

The following result is a consequence of Theorem 19 and Theorems 15-16 under a control law given by (89) and (96).

Corollary 20. Consider (55) under any set of bounded vector functions of initial conditions , . Assume also that , with and , .Then, the following properties hold.

(i)If and the control law (89)-(90) is replaced with (89) and (96) then under either condition (C1) or condition (C2) of Theorem 15

for any given and and some . As a result, if as .(ii)If and (90) is replaced with (96) for then under either condition (C3) or condition (C4) of Theorem 16

and (98) holds.

Example 21. From Theorem 11, (57), one concludes that (55), under any set of nonnegative set of real vector functions of initial conditions on and any admissible nonnegative control vector function, has a limiting nonnegative -solution of (Caputo) fractional order satisfying

if in order that the -solution of (Caputo) fractional order of (55) exist for some of the two sets of constraints below holds:

(1)One has , ; , . The first above condition implies so that is a monomial matrix which implies that if then it is diagonal nonsingular with negative diagonal entries.(2)One has , ; , .

Note that it has been used that for , , as , from (47)-(48).

If then the existence of is not required and the first constraint of each of the above sets is changed to the existence of , that is, provided that to guarantee the nonsingularity of .

If and then the above constraints have to be amended via (56) with the replacement .

On the other hand, note that the various above results and properties given in the above remarks within this section lead directly to sufficiency-type conditions for the nonnegativity of the quantum fractional solutions and their limit values under the proposed control laws.

Remark 22. If the -Caputo fractional differential system (61) is considered instead of (55), then Theorem 19 and Corollary 20 hold under modified equations (90), (92), (93), (95), and (96) being subject to replacements (87) and for any given and (≥ζ) (see Remark 17). On the other hand, modified equations (97) and (99) remain valid under the above replacements together with the additional replacements and . A variant of the disposal can be made with the replacement of with a function with , .

Remark 23. In the delay-free case and in the case that the delays are time-varying, the given formalism is extendable under minor modifications. For instance, assume that the delays satisfy the constraints , , for a set of positive real constants satisfying , , . Thus, an appropriate solution of (61) in discretized form can be organized on intervals , according to the subsequent algorithm.

Step 1 (initial point). Select an initial point .

Step 2 (sequence of points to construct the discrete solution). Fix a strictly increasing string of positive real numbers such that and some given sequence of positive integers.

Step 3 (sequence of interval lengths to construct the discrete solution recursively). Fix a string of interval (nonzero) measures , which are the measures of the computation intervals , in (61), such that , for some sequence , of nonnegative integers, with , satisfying , so as to guarantee the algorithm running constraints:

Conflict of Interests

The author declares that there is no conflict of interests regarding the publication of this paper.

Acknowledgments

The author is very grateful to the Spanish Government for its support through Grant DPI2012-30651 and to the Basque Government for its support through Grants IT378-10 and SAIOTEK S-PE13UN039. He is also grateful to the University of Basque Country for its support through Grant UFI 2011/07 and to the referees for their useful comments on the first version of the paper.

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