Skip to main content
Log in

Positive consensus of fractional-order multi-agent systems

  • Original Article
  • Published:
Neural Computing and Applications Aims and scope Submit manuscript

Abstract

This paper considers the positive consensus of fractional-order multi-agent systems described by general linear dynamics with the fractional order belonging to (0, 2) via state feedback. Firstly, the distributed positive consensus protocols are given, and then, the necessary and sufficient conditions are gained for the consensus with positive constraint based on the fractional-order stability theory as well as the features of Metzler matrix. Furthermore, some sufficient positive consensus conditions are provided and are reduced to the conditions without the global networked information for the system with \(\alpha \in (0,1]\). Finally, illustration examples are provided to indicate not only the validity but also the superiority of the presented approach, compared with the highly related methods.

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

Access this article

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
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  1. Wu P, Wu Q, Zhou L, Chen H, Zhou H (2019) A consensus model for group decision making under trapezoidal fuzzy numbers environment. Neural Comput Appl 31:377–394

    Article  Google Scholar 

  2. Sarand HG, Karimi B (2019) Adaptive consensus tracking of non-square MIMO nonlinear systems with input saturation and input gain matrix under directed graph. Neural Comput Appl 31:2171–2182

    Article  Google Scholar 

  3. Xue D, Yao J, Chen G, Yu YL (2010) Formation control of networked multi-agent systems. IET Control Theory Appl 4(10):2168–2176

    Article  MathSciNet  Google Scholar 

  4. Zhou j, Wu X, Yu W, Small M (2012) Flocking of multi-agent dynamical systems based on pseudo-leader mechanism. Syst Control Lett. https://doi.org/10.1016/j.sysconle.2011.10.006

    Article  MathSciNet  MATH  Google Scholar 

  5. Jian L, Hu J, Wang J, Shi K, Peng Z, Yang Y, Huang J (2020) Distributed functional observer-based event-triggered containment control of multi-agent systems. Int J Control Autom Syst 18(5):1094–1102

    Article  Google Scholar 

  6. Abdulghafor R, Abdullah SS, Turaev S, Zeki A, Al-Shaikhli I (2020) Linear and nonlinear stochastic distribution for consensus problem in multi-agent systems. Neural Comput Appl 32:216–277

    Article  Google Scholar 

  7. Jian L, Hu J, Wang J, Shi K (2019) Distributed event-triggered protocols with Kx-functional observer for leader-following multi-agent systems. Phys A Stat Mech Appl 535:122457. https://doi.org/10.1016/j.physa.2019.122457

    Article  MathSciNet  Google Scholar 

  8. Wang X, Su H (2020) Completely model-free RL-based consensus of continuous-time multi-agent systems. Appl Math Comput 382:125312. https://doi.org/10.1016/j.amc.2020.125312

    Article  MathSciNet  MATH  Google Scholar 

  9. Jian L, Hu J, Wang J, Shi K (2019) Distributed inexact dual consensus ADMM for network resource allocation. Optim Control Appl Methods 40(6):1071–1087

    Article  MathSciNet  Google Scholar 

  10. Peng Z, Luo R, Hu J, Shi K, Nguang SK, Ghosh BK (2021) Optimal tracking control of nonlinear multiagent systems using internal reinforce q-learning. IEEE Trans Neural Netw Learn Syst 1–13

  11. Koeller R (2001) Toward an equation of state for solid materials with memory by use of the half-order derivative. Acta Mech 191(3):125–133

    MathSciNet  MATH  Google Scholar 

  12. Bagley RL, Torvik PJ (1986) On the fractional calculus model of viscoelastic behavior. J Rheol 30(1):133–155

    Article  Google Scholar 

  13. Cao Y, Li Y, Ren W, Chen Y (2009) Distributed coordination of networked fractional-order systems. IEEE Trans Syst Man Cybern 40(2):362–370

    Google Scholar 

  14. Bai J, Wen G, Rahmani A, Yu Y (2017) Distributed consensus tracking for the fractional-order multi-agent systems based on the sliding mode control method. Neurocomputing 235:210–216

    Article  Google Scholar 

  15. Ye Y, Su H (2018) Leader-following consensus of general linear fractional-order multiagent systems with input delay via event-triggered control. Int J Robust Nonlinear Control 28(18):5717–5729

    Article  MathSciNet  Google Scholar 

  16. Yu W, Li Y, Wen G, Yu X, Cao J (2016) Observer design for tracking consensus in second-order multi-agent systems: Fractional order less than two. IEEE Trans Autom Control 62(2):894–900

    Article  MathSciNet  Google Scholar 

  17. Zhu W, Li W, Zhou P, Yang C (2017) Consensus of fractional-order multi-agent systems with linear models via observer-type protocol. Neurocomputing 230:60–65

    Article  Google Scholar 

  18. Yu Z, Jiang H, Hu C, Yu J (2017) Necessary and sufficient conditions for consensus of fractional-order multiagent systems via sampled-data control. IEEE Trans Cybern 47(8):1892–1901

    Article  Google Scholar 

  19. Gong P, Lan W (2018) Adaptive robust tracking control for multiple unknown fractional-order nonlinear systems. IEEE Trans Cybern 49(4):1365–1376

    Article  Google Scholar 

  20. Song C, Cao J (2013) Consensus of fractional-order linear systems. In: 2013 9th Asian control conference (ASCC), pp 1–4. https://doi.org/10.1109/ASCC.2013.6606402

  21. Ye Y, Su H, Chen J, Peng Y (2020) Consensus in fractional-order multi-agent systems with intermittence sampled data over directed networks. IEEE Trans Circuits Syst II Express Briefs 67(2):365–369

    Article  Google Scholar 

  22. Berk PD, Bloomer JR, Howe RB, Berlin NI (1970) Constitutional hepatic dysfunction (Gilbert’s syndrome): a new definition based on kinetic studies with unconjugated radiobilirubin. Am J Med 49(3):296–305

    Article  Google Scholar 

  23. Zappavigna A, Charalambous T, Knorn F (2012) Unconditional stability of the Foschini-Miljanic algorithm. Automatica 48(1):219–224

    Article  MathSciNet  Google Scholar 

  24. Knorn F, Corless MJ, Shorten RN (2011) A result on implicit consensus with application to emissions control. In: 2011 50th IEEE conference on decision and control and European control conference, IEEE, pp 1299–1304. https://doi.org/10.1109/CDC.2011.6160599

  25. Valcher ME, Misra P (2013) On the stabilizability and consensus of positive homogeneous multi-agent dynamical systems. IEEE Trans Autom Control 59(7):1936–1941. https://doi.org/10.1109/TAC.2013.2294621

    Article  MathSciNet  MATH  Google Scholar 

  26. Sun Y, Tian Y, Xie XJ (2017) Stabilization of positive switched linear systems and its application in consensus of multiagent systems. IEEE Trans Autom Control 62(12):6608–6613

    Article  MathSciNet  Google Scholar 

  27. Wu H, Su H (2018) Observer-based consensus for positive multiagent systems with directed topology and nonlinear control input. IEEE Trans Syst Man Cybern. Syst. 49(7):1459–1469

    Article  Google Scholar 

  28. Su H, Wu H, Chen X, Chen MZQ (2017) Positive edge consensus of complex networks. IEEE Trans Syst Man Cybern Syst 1–9

  29. Su H, Wu H, Lam J (2019) Positive edge-consensus for nodal networks via output feedback. IEEE Trans Autom Control 64(3):1244–1249. https://doi.org/10.1109/TAC.2018.2845694

    Article  MathSciNet  MATH  Google Scholar 

  30. Podlubny I (1999) Fractional differential equations. Academic Press, San Diego, USA

    MATH  Google Scholar 

  31. Ren W, Beard RW (2005) Consensus seeking in multiagent systems under dynamically changing interaction topologies. IEEE Trans Autom Control 50(5):655–661

    Article  MathSciNet  Google Scholar 

  32. Kaczorek T (2011) Positive linear systems consisting of n subsystems with different fractional orders. IEEE Trans Circuits Syst 58(6):1203–1210

    Article  MathSciNet  Google Scholar 

  33. Matignon D (1996) Stability results for fractional differential equations with applications to control processing. Comput Eng Syst Appl 2:963–968

    Google Scholar 

  34. Berman A, Plemmons RJ (1994) Nonnegative matrices in the mathematical sciences. SIAM

  35. Son NK, Hinrichsen D (1996) Robust stability of positive continuous time systems. Numer Funct Anal Optim 17(5–6):649–659

    Article  MathSciNet  Google Scholar 

  36. Horn RA, Johnson CR (2012) Matrix analysis. Cambridge University Press, Cambridge

    Book  Google Scholar 

  37. Wu CW, Chua LO (1995) Application of graph theory to the synchronization in an array of coupled nonlinear oscillators. IEEE Trans Circuits Syst I Fundam Theory Appl 42(8):494–497

    Article  Google Scholar 

  38. Wen XJ, Wu ZM, Lu JG (2008) Stability analysis of a class of nonlinear fractional-order systems. IEEE Trans Circuits Syst II Express Briefs 55(11):1178–1182

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Housheng Su.

Ethics declarations

Conflict of interest

The authors have no conflicts of interest to declare that are relevant to the content of this article.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chen, S., An, Q., Ye, Y. et al. Positive consensus of fractional-order multi-agent systems. Neural Comput & Applic 33, 16139–16148 (2021). https://doi.org/10.1007/s00521-021-06213-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00521-021-06213-1

Keywords

Navigation