Skip to main content
Log in

Invariant set theorems for non-autonomous time-fractional systems

  • Published:
International Journal of Dynamics and Control Aims and scope Submit manuscript

    We’re sorry, something doesn't seem to be working properly.

    Please try refreshing the page. If that doesn't work, please contact support so we can address the problem.

Abstract

Though the commonly used fractional Lyapunov stability and LaSalle theorems have been beneficial in the development of the theory and applications of fractional derivatives, their proofs hold certain flaws which can make their applicability questionable. From this point, we established new invariant set-based stability theorems for fractional order Caputo systems. As a consequence, we have obtained the fractional version of the Lyapunov stability theorem. In addition, sufficient conditions for the uniform asymptotic stability of Caputo systems are derived. Finally, two illustrative applications from population dynamics are presented to validate the effectiveness of the theoretical results.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  1. Sun H, Zhang Y, Baleanu D, Chen W, Chen Y (2018) A new collection of real-world applications of fractional calculus in science and engineering. Commun Nonlinear Sci Num Simul 64:213–231

    Article  Google Scholar 

  2. Malek H, Dadras S, Chen YQ (2016) Fractional order equivalent series resistance modelling of electrolytic capacitor and fractional order failure prediction with application to predictive maintenance. IET Power Electr 9(8):1608–1613

    Article  Google Scholar 

  3. Cohen I, Golding I, Ron IG, Ben-Jacob E (2001) Biofluiddynamics of lubricating bacteria. Math Methods Appl Sci 24:1429–1468

    Article  MathSciNet  Google Scholar 

  4. Kilbas AA, Srivastava HM, Trujillo JJ (2006) Theory and applications of fractional differential equations, vol 204. Elsevier

  5. Petrás I (2011) Fractional derivatives, fractional integrals, and fractional differential equations in Matlab (p. 9412). IntechOpen

  6. Khalil HK (2002) Nonlinear systems third edition. Patience Hall, UK 115

  7. Li Y, Chen Y, Podlubny I (2009) Mittag-Leffler stability of fractional order nonlinear dynamic systems. Automatica 45(8):1965–1969

    Article  MathSciNet  Google Scholar 

  8. Li Y, Chen Y, Podlubny I (2010) Stability of fractional-order nonlinear dynamic systems: Lyapunov direct method and generalized Mittag-Leffler stability. Comput Math Appl 59(5):1810–1821

    Article  MathSciNet  Google Scholar 

  9. Shen J, Lam J (2014) Non-existence of finite-time stable equilibria in fractional-order nonlinear systems. Automatica 50(2):547–551

    Article  MathSciNet  Google Scholar 

  10. Naifar O, Makhlouf AB, Hammami MA (2017) Comments on “Mittag-Leffler stability of fractional order nonlinear dynamic systems [Automatica 45 (8)(2009) 1965–1969].’’. Automatica 75:329

    Article  MathSciNet  Google Scholar 

  11. Delavari H, Baleanu D, Sadati J (2012) Stability analysis of Caputo fractional-order nonlinear systems revisited. Nonlinear Dyn. 67(4):2433–2439

    Article  MathSciNet  Google Scholar 

  12. Wu C (2021) Comments on “Stability analysis of Caputo fractional-order nonlinear systems revisited.’’. Nonlinear Dyn. 104(1):551–555

    Article  Google Scholar 

  13. LaSalle JP (1976) Stability theory and invariance principles. In Dynamical systems. Academic Press, pp. 211–222

  14. LaSalle JP (1976) Stability of nonautonomous systems. BROWN UNIV PROVIDENCE RI LEFSCHETZ CENTER FOR DYNAMICAL SYSTEMS

  15. Slotine JJE, Li W (1991) Applied nonlinear control Englewood Cliffs. NJ

  16. Huo J, Zhao H, Zhu L (2015) The effect of vaccines on backward bifurcation in a fractional order HIV model. Nonlinear Anal Real World Appl 26:289–305

    Article  MathSciNet  Google Scholar 

  17. Gallegos JA, Duarte-Mermoud MA (2016) On the Lyapunov theory for fractional order systems. Appl Math Comput 287:161–170

    MathSciNet  Google Scholar 

  18. Cong ND, Tuan HT (2017) Generation of nonlocal fractional dynamical systems by fractional differential equations. J Integr Equ Appl 29(4):585–608

    Article  MathSciNet  Google Scholar 

  19. Podlubny I (1999) Fractional differential equations. In: Mathematics in science and engineering, vol 198. Academic Press, San Diego, Calif, USA

  20. Diethelm K (2010) The analysis of fractional differential equations: an application-oriented exposition using differential operators of Caputo type. Springer Science & Business Media

  21. Vainikko G (2016) Which functions are fractionally differentiable? Zeitschrift für Analysis und ihre Anwendungen 35(4):465–487

  22. Li HL, Zhang L, Hu C, Jiang YL, Teng Z (2017) Dynamical analysis of a fractional-order predator-prey model incorporating a prey refuge. J Appl Math Comput 54(1):435–449

    Article  MathSciNet  Google Scholar 

  23. Tuan HT, Trinh H (2018) Stability of fractional-order nonlinear systems by Lyapunov direct method. IET Control Theory Appl 12(17):2417–2422

    Article  MathSciNet  Google Scholar 

  24. Khalil HK (2002) Nonlinear systems third edition. Patience Hall,

  25. Rudin W (1987) Real and Complex Analysis. McGraw-Hill, New York

    Google Scholar 

  26. Wu C, Liu X (2020) The continuation of solutions to systems of Caputo fractional order differential equations. Fract Calc Appl Anal 23(2):591–599

    Article  MathSciNet  Google Scholar 

  27. Kuniya T, Nakata Y (2012) Permanence and extinction for a nonautonomous SEIRS epidemic model. Appl Math Comput 218(18):9321–9331

    MathSciNet  Google Scholar 

  28. Shope R (1991) Global climate change and infectious diseases. Environ Health Perspect 96:171–174

    Article  Google Scholar 

  29. Martcheva M (2009) A non-autonomous multi-strain SIS epidemic model. J Biol Dyn 3(2–3):235–251

    Article  MathSciNet  Google Scholar 

  30. Anderson RM, May RM (1992) Infectious diseases of humans: dynamics and control. Oxford University Press

  31. Ahmed E, El-Sayed AMA, El-Saka HA (2007) Equilibrium points, stability and numerical solutions of fractional-order predator-prey and rabies models. J Math Anal Appl 325(1):542–553

  32. Yavuz M, Sene N (2020) Stability analysis and numerical computation of the fractional predator-prey model with the harvesting rate. Fract Fract 4(3):35

  33. Hoang MT, Nagy AM (2019) Uniform asymptotic stability of a Logistic model with feedback control of fractional order and nonstandard finite difference schemes. Chaos Solitons Fractals 123:24–34

    Article  MathSciNet  Google Scholar 

Download references

Funding

The authors declare that they have not received any financial support for research or authorship.

Author information

Authors and Affiliations

Authors

Contributions

All authors participated in the study’s design and analysis. They examined the findings and gave their approval for the manuscript’s final form.

Corresponding author

Correspondence to Aadil Lahrouz.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Appendix A

Appendix A

  • \(\omega (X_{t_0})\) is non-empty: The sequence \(\{X(t_n, X_{t_0})\}\) is bounded, hence contains a convergent subsequence. Let u the limit of this subsequence, then \( u \in \omega (X_{t_0}) \) which proves the non-emptiness of \(\omega (X_{t_0})\).

  • \(\omega (X_{t_0})\) is closed: Let \((u_n)\) be a convergent sequence in \(\omega (X_{t_0})\) such that \(u_n \rightarrow u\). We shall show that \(u \in \omega (X_{t_0}) \). By the definition of the \(\omega \)-limit set, for any n, there exists a sequence \(t_{n,m}\underset{m\rightarrow \infty }{\longrightarrow }\ \infty \) with \(X\left( t_{n, m}, X_{t_0}\right) \underset{m\rightarrow \infty }{\longrightarrow }\ u_n\). Therefore

    $$\begin{aligned} \forall n, \,\, \exists M(n),\,\, \forall m\ge M(n),\quad \left\| X\left( t_{n, m}, X_{t_0}\right) -u_n\right\| <\frac{1}{n}. \end{aligned}$$

    This implies that

    $$\begin{aligned}{} & {} \left\| X\left( t_{n, {\mathcal {M}}(n)}, X_{t_0} \right) -u\right\| \\{} & {} \quad \le \left\| X\left( t_{n, {\mathcal {M}}(n)}, X_{t_0}\right) -u_n\right\| +\left\| u_n-u\right\| ,\\{} & {} \quad \le \frac{1}{n}+\left\| u_n-u\right\| , \end{aligned}$$

    where, \({\mathcal {M}}(n)=M(n)+n\). Since \(u_n\underset{n\rightarrow \infty }{\longrightarrow }\ u\), we infer that \(X\left( t_{n, {\mathcal {M}}(n)}, X_{t_0} \right) \underset{n\rightarrow \infty }{\longrightarrow }\ u\). Adding the fact that \(t_{n,{\mathcal {M}}(n)} \underset{n\rightarrow \infty }{\longrightarrow } \infty ,\) we conclude that u is indeed an \(\omega \)-limit point, that is, \(u\in \omega (X_{t_0})\). Thus, \( \omega (X_{t_0})\) is closed.

  • \(\omega (X_{t_0})\) is compact: Since the orbit is bounded, so is the set of its limit points. Hence \(\omega (X_{t_0})\) is bounded. We showed previously that it is closed. This implies its compactness.

  • \( X\left( t,X_{t_0}\right) \underset{t \rightarrow \infty }{\longrightarrow }\ \omega \left( X_{t_0}\right) \): Suppose the convergence (2.2) fails, there exists then a sequence \( t_n \rightarrow \infty \) such that

    $$\begin{aligned} \liminf _{n\rightarrow \infty }d\left( X\left( t_n, X_{t_0}\right) , \omega (X_{t_0})\right) >0. \end{aligned}$$
    (A.1)

    Besides, the boundedness of the orbit guarantees the existence of a subsequence, also denoted by \(t_{n}\), such that \(X\left( t_{n}, X_{t_0}\right) \underset{n\rightarrow \infty }{\longrightarrow }u\). Then

    $$\begin{aligned} u \in \omega (X_{t_0}),{} & {} \end{aligned}$$
    (A.2)
    $$\begin{aligned} d\left( X\left( t_n, X_{t_0}\right) , \omega (X_{t_0})\right)\underset{n\rightarrow \infty }{\longrightarrow } & {} d\left( u, \omega (X_{t_0})\right) , \end{aligned}$$
    (A.3)

    where the limit (A.3) is obtained using the continuity of the function \(x\mapsto d\left( x, \omega (X_{t_0})\right) \). Combining (A.1) and (A.3), yields that \(d\left( u, \omega (X_{t_0})\right) >0\). This obviously contradicts (A.2).

  • \(\omega (X_{t_0})\) is connected: : Suppose \(\omega (X_{t_0})\) is disconnected. Then there exist two disjoint open subsets \({\mathcal {A}}\) and \({\mathcal {B}}\) of \({\textbf{R}}^d\) such that \({\mathcal {A}} \cap \omega (X_{t_0})\) and \({\mathcal {B}} \cap \omega (X_{t_0})\) are nonempty, and \(\omega (X_{t_0})\) is contained in \({\mathcal {A}} \cup {\mathcal {B}}\). There is some \(t_1>0\) such that \(X(t_1,X_{t_0}) \in {\mathcal {A}}\) and some \(t_2>t_1\) such that \(X(t_2,X_{t_0}) \in {\mathcal {B}}\). However, the set \(K=\left\{ X(t,X_{t_0}): t_1 \le t \le \right. \) \(\left. t_2\right\} \) is the continuous image of the interval \([t_1,t_2]\), thus a connected set. Hence, K cannot be contained in \({\mathcal {A}} \cup {\mathcal {B}}\). In fact, there exists at least one \(\tau _0>0\) such that \(X(\tau _0,X_{t_0}) \notin {\mathcal {A}} \cup {\mathcal {B}}\). In a similar way, we construct an increasing unbounded sequence \((\tau _i)\) such that \(X(\tau _i, X_{t_0}) \in ({\mathcal {A}} \cup {\mathcal {B}})^{c}\) for each i. On another hand, by the compactness, the \((X(\tau _i,X_{t_0}))_i \) has a subsequence that converges to u. Thus, \(u \in \omega (X_{t_0})\), and \(u \in ({\mathcal {A}} \cup {\mathcal {B}})^{c} \)since \(({\mathcal {A}} \cup {\mathcal {B}})^{c} \) is closed. This is a Contradiction because \(({\mathcal {A}} \cup {\mathcal {B}})^{c}\subset \left( \omega (X_{t_0})\right) ^{c}\).

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lahrouz, A., Hajjami, R., El Jarroudi, M. et al. Invariant set theorems for non-autonomous time-fractional systems. Int. J. Dynam. Control 12, 2280–2294 (2024). https://doi.org/10.1007/s40435-023-01361-9

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40435-023-01361-9

Keywords

Mathematics Subject Classification

Navigation