Skip to main content
Log in

Multi-tracking of second-order multi-agent systems using impulsive control

  • Original Paper
  • Published:
Nonlinear Dynamics Aims and scope Submit manuscript

Abstract

This paper investigates the multi-tracking of second-order multi-agent systems. A distributed impulsive protocol is designed to solve the multi-tracking problem, which utilizes only position sampled data of the agents and the desired trajectories. In the context of constant desired velocities, a necessary and sufficient condition on feedback gains and sampling period is obtained to guarantee uniform multi-tracking. In the context of time-varying desired velocities, multi-agent systems can reach bounded variable multi-tracking, in which the ultimate tracking error is proportional to the sampling period. Simulation examples are given to illustrate the theoretical analysis.

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

Similar content being viewed by others

References

  1. Olfati-Saber, R., Murray, R.M.: Consensus problems in networks of agents with switching topology and time-delays. IEEE Trans. Automat. Contr. 49(9), 1520–1533 (2004)

    Article  MathSciNet  Google Scholar 

  2. Ren, W., Beard, R.W.: Consensus seeking in multiagent systems under dynamically changing interaction topologies. IEEE Trans. Automat. Contr. 50(5), 655–661 (2005)

    Article  MathSciNet  Google Scholar 

  3. Moreau, L.: Stability of multiagent systems with time-dependent communication links. IEEE Trans. Automat. Contr. 50(2), 169–182 (2005)

    Article  MathSciNet  Google Scholar 

  4. Yu, J., Wang, L.: Group consensus of multi-agent systems with directed information exchange. Int. J. Syst. Sci. 43(2), 334–348 (2012)

    Article  MathSciNet  MATH  Google Scholar 

  5. Li, H., Liao, X., Dong, T., Xiao, L.: Second-order consensus seeking in directed networks of multi-agent dynamical systems via generalized linear local interaction protocols. Nonlinear Dyn. 70(3), 2213–2226 (2012)

    Article  MathSciNet  MATH  Google Scholar 

  6. Hu, H.-X., Yu, L., Zhang, W.-A., Song, H.: Group consensus in multi-agent systems with hybrid protocol. J. Frankl. Inst. 350(3), 575–597 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  7. Wang, H., Liao, X., Huang, T.: Accelerated consensus to accurate average in multi-agent networks via state prediction. Nonlinear Dyn. 73(1–2), 551–563 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  8. Wang, Z., Xi, J., Yao, Z., Liu, G.: Guaranteed cost consensus for multi-agent systems with switching topologies. Int. J. Robust Nonlinear. (2014). doi:10.1002/rnc.3252

  9. Ren, W.: On consensus algorithms for double-integrator dynamics. IEEE Trans. Automat. Contr. 53(6), 1503–1509 (2008)

    Article  MathSciNet  Google Scholar 

  10. Cao, Y., Ren, W.: Distributed coordinated tracking with reduced interaction via a variable structure approach. IEEE Trans. Automat. Contr. 57(1), 33–48 (2012)

    Article  MathSciNet  Google Scholar 

  11. Huang, N., Duan, Z., Zhao, Y.: Leader-following consensus of second-order non-linear multi-agent systems with directed intermittent communication. IET Control Theory Appl. 8(10), 782–795 (2014)

    Article  MathSciNet  Google Scholar 

  12. Guan, Z.-H., Sun, F.-L., Wang, Y.-W., Li, T.: Finite-time consensus for leader-following second-order multi-agent networks. IEEE Trans. Circuits-I 59(11), 2646–2654 (2012)

    Article  MathSciNet  Google Scholar 

  13. Hong, Y., Chen, G., Bushnell, L.: Distributed observers design for leader-following control of multi-agent networks. Automatica 44(3), 846–850 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  14. Zhao, Y., Duan, Z., Wen, G., Zhang, Y.: Distributed finite-time tracking control for multi-agent systems: an observer-based approach. Syst. Control Lett. 62(1), 22–28 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  15. Zhang, Y., Yang, Y.: Finite-time consensus of second-order leader-following multi-agent systems without velocity measurements. Phys. Lett. A 377(3–4), 243–249 (2013)

    Article  MATH  Google Scholar 

  16. Cheng, Y., Xie, D.: Consensus of second-order multi-agent systems with a time-varying reference signal via sampled control. Int. J. Control 86(5), 923–933 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  17. Ren, W.: Consensus strategies for cooperative control of vehicle formations. IET Control Theory Appl. 1(2), 505–512 (2007)

  18. Cheng, Y., Xie, D.: Distributed observer design for bounded tracking control of leader-follower multi-agent systems in a sampled-data setting. Int. J. Control 87(1), 41–51 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  19. Han, G.-S., Guan, Z.-H., Chen, J., He, D.-X., Chi, M.: Multi-tracking of first order multi-agent networks via self-triggered control. Asian J. Control 17(5), 1–10 (2015)

    MathSciNet  Google Scholar 

  20. Zhou, J., Xiang, L., Liu, Z.R.: Synchronization in complex delayed dynamical networks with impulsive effects. Phys. A 384(2), 684–692 (2007)

    Article  MathSciNet  Google Scholar 

  21. Yang, T.: Impulsive Control Theory. Springer, Berlin (2001)

    MATH  Google Scholar 

  22. Guan, Z.-H., Hill, D.J., Shen, X.: On hybrid impulsive and switching systems and application to nonlinear control. IEEE Trans. Automat. Contr. 50(7), 1058–1062 (2005)

    Article  MathSciNet  Google Scholar 

  23. Kovacs, I., Silver, D.S., Williams, S.G.: Determinants of commuting-block matrices. Am. Math. Mon. 106(10), 950–952 (1999)

    Article  MathSciNet  MATH  Google Scholar 

  24. Cao, Y., Ren, W.: Multi-vehicle coordination for double-integrator dynamics under fixed undirected/directed interaction in a sampled-data setting. Int. J. Robust Nonlinear 20(9), 987–1000 (2010)

    MathSciNet  MATH  Google Scholar 

  25. Horn, R.A., Johnson, C.R.: Matrix Analysis. Cambridge University Press, New York (1985)

    Book  MATH  Google Scholar 

  26. Han, G.-S., Guan, Z.-H., Li, J., Liao, R.-Q., Cheng, X.-M.: Multi-consensus of multi-agent networks via a rectangular impulsive approach. Syst. Control Lett. 76, 28–34 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  27. Song, Q., Cao, J., Yu, W.: Second-order leader-following consensus of nonlinear multi-agent systems via pinning control. Syst. Control Lett. 59(9), 553–562 (2010)

    Article  MathSciNet  MATH  Google Scholar 

Download references

Acknowledgments

This work was supported in part by the National Natural Science Foundation of China under Grants 61370093, 61472374, 61473128, 61503415, and 61572084 and the Doctoral Foundation of Ministry of Education of China under Grant 20130142130010.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Zhi-Hong Guan.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Han, GS., Guan, ZH., Li, J. et al. Multi-tracking of second-order multi-agent systems using impulsive control. Nonlinear Dyn 84, 1771–1781 (2016). https://doi.org/10.1007/s11071-016-2604-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11071-016-2604-9

Keywords

Navigation