Research Article | Open Access

Volume 2021 |Article ID 4665468 | https://doi.org/10.1155/2021/4665468

Mouhcine Naim, "Zero Controllability Criterion for Discrete Positive Systems with Multiple Delays on Both States and Inputs", International Journal of Mathematics and Mathematical Sciences, vol. 2021, Article ID 4665468, 5 pages, 2021. https://doi.org/10.1155/2021/4665468

# Zero Controllability Criterion for Discrete Positive Systems with Multiple Delays on Both States and Inputs

Accepted01 May 2021
Published12 May 2021

#### Abstract

Zero controllability criterion for positive linear discrete systems with multiple delays in both states and inputs is obtained and proved. An example is given to support our main result.

#### 1. Introduction and Preliminaries

Throughout this paper, we use the following notation: is the set of nonnegative integers, is the set of positive integers, is the finite subset of with , is the set of real vectors with components, is the set of vectors in with nonnegative components, is the set of real matrices of size , is the identity matrix in , and is the set of real matrices with nonnegative entries.

Positive systems are a wide class of systems in which state variables are constrained to be positive or at least nonnegative for all time whenever the initial conditions and inputs are nonnegative [1, 2]. The mathematical theory of positive linear systems is based on the theory of nonnegative matrices developed by Perron and Frobenius, see, e.g., [3, 4]. Since positive systems are not defined on linear spaces but on cones, then many concepts of linear systems cannot be directly generalized to linear positive systems without reformulation. One such property is the notion of controllability of linear positive systems.

Controllability is one of the fundamental concepts in the mathematical control theory. A positive system is controllable if it is possible to transfer it from an arbitrary nonnegative initial state to an arbitrary nonnegative final state using only certain admissible nonnegative controls. Since late 1980s, controllability of discrete positive linear systems without delays has been a subject of much research . In particular, Coxson and Shapiro in  showed that the discrete linear positive system is controllable if and only if it is reachable (controllability from zero initial conditions) and zero controllable (controllability to zero final state). The reachability of positive linear discrete systems with multiple delays in both state and control is addressed in . On zero controllability of positive linear discrete systems with delay, the authors of  show that the following system with a single state delayis zero controllable if and only if the matrix is nilpotent. In this paper, we will extend the result of zero controllability in  to the more general case, namely, positive discrete systems with multiple time delays both in state and in input. For this, we consider the general discrete linear time delay systems:where is the state, is the input, , , and and are the nonnegative integer maximal values of delays on state and input, respectively. The initial conditions for (2) are given arbitrarily by for and for .

Definition 1. (positivity). System (2) is said to be positive if the state , , for any initial states , for any initial inputs , and all inputs , .

Lemma 1. (see ). System (2) is positive if and only if and .
In all the sequels in this paper, we assume that system (2) is positive.

Definition 2. (zero controllability). System (2) is said to be zero controllable if any initial state sequence and any initial input sequence , there exist a positive integer and an input sequence such that the state of the system is driven from to 0, that is, .
The paper is organized as follows. In Section 2, we give and prove the criterion of the zero controllability of the general system (2) which is the main result of this paper. A numerical example is given in Section 3. Finally, the conclusion is provided in Section 4.

#### 2. Main Result

In this section, we give the proof of the main result of this paper, which is accomplished in Theorem 1.

Lemma 2 (see [12, 13]). The general solution to (2) is given bywhere the transition matrix is determined by the recurrence relationwith the assumption

Lemma 3. The transition matrix also satisfies the following equation:

Proof. See Appendix A.
Then, for any , we pose , and hence, for all , we posewithMoreover, for , we putwith for .
Clearly by (7) and (9), solution (3) is given by the following new formula:

Theorem 1. System (2) is zero controllable if and only if the matrixis nilpotent.
We introduce the following useful two lemmas that will aid us in the proof of our main result.

Lemma 4. For all , we have

Proof. See Appendix B.
Without loss of generality, we assume that . Indeed, if , we can set for , and then we come back to case.

Lemma 5. For all , we have

Proof. See Appendix C.

Remark 1. Since , then .
Now, we prove our main result.

Proof of Theorem 1 (sufficiency). Since is nilpotent, then there exists a positive integer such that . Hence, by Lemma 5, we have for and for . Thus, system (2) is zero controllable.
(Necessity). Since system (2) is zero controllable, there exists a positive integer such that for and for . According to Lemma 4, we get that and for . Thus, by Lemma 5, we have . This implies that is nilpotent. The theorem is proved.

Remark 2. If one diagonal element of the matrix is nonzero, system (2) is nonzero controllable.

#### 3. Example

Consider system (2) with and matrices

By calculation, we get that matrix is nilpotent with index , that is, and Thus, by Theorem 1, system (2) is zero controllable.

#### 4. Conclusion

In this paper, we have investigated the zero controllability of discrete linear positive systems with delays. Necessary and sufficient conditions have been established for the zero controllability discrete linear positive systems with multiple delays in both state variables and input signals. A numerical example is presented to explore the proposed theory.

#### A. Proof of Lemma 3

Proof. First, for , we have and (6) holds. Secondly, suppose that (6) holds for . We prove that it holds for .
For , we haveFor , we haveThus, (6) is satisfied in step . Hence, (6) holds for any .

#### B. Proof of Lemma 4

Proof. Let . For , we haveand, for , we haveSimilarly, we prove that (13) holds.

#### C. Proof of Lemma 5

Proof. We introduce a new state variable for byIt is easy to verify thatwhere is defined in (11) andLet for . Then, the solution of system (C.2) is given byOn the other hand, from (10), for all , we haveHence, by identification between (C.4) and (C.5), we get that (14) holds.

#### Data Availability

No data were used to support this study.

#### Conflicts of Interest

The author declares no conflicts of interest.

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