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Dynamic consensus of high-order multi-agent systems and its application in the motion control of multiple mobile robots

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Abstract

In this paper, the leader-following consensus problem for multi-agent linear dynamic systems is considered. All agents and leader have identical multi-input multi-output (MIMO) linear dynamics that can be of any order, and only the output information of each agent is delivered throughout the communication network. When the interaction topology is fixed, the leader-following consensus is attained by H dynamic output feedback control, and the sufficient condition of robust controllers is equal to the solvability of linear matrix inequality (LMI). The whole analysis is based on spectral decomposition and an equivalent decoupled structure achieved, and the stability of the system is proved. Finally, we extended the theoretical results to the case that the interaction topology is switching. The simulation results for multiple mobile robots show the effectiveness of the devised methods.

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References

  1. H. T. Zhang, F. Yu, W. Li. Step-coordination algorithm of traffic control based on multi-agent system. International Journal of Automation and Computing, vol. 6, no. 3, pp. 308–313, 2009.

    Article  Google Scholar 

  2. T. Vicsek, A. Czirk, E. Ben-Jacob, I. Cohen, O. Shochet. Novel type of phase transition in a system of self-driven particles. Physical Review Letters, vol. 75, no. 6, pp. 1226–1229, 1995.

    Article  Google Scholar 

  3. R. Olfati-Saber, R. M. Murray. Consensus problems in networks of agents with switching topology and time-delays. IEEE Transactions on Automatic Control, vol. 49, no. 9, pp. 1520–1533, 2004.

    Article  MathSciNet  Google Scholar 

  4. Z. Y. Lin, B. Francis, M. Maggiore. State agreement for continuous-time coupled nonlinear system. SIAM Journal on Control and Optimization, vol. 46, no. 1, pp. 288–307, 2007.

    Article  MathSciNet  MATH  Google Scholar 

  5. Y. G. Sun, L. Wang, G. M. Xie. Average consensus in networks of dynamic agents with switching topologies and multiple time-varying delays. Systems & Control Letters, vol. 57, no. 2, pp. 175–183, 2008.

    Article  MathSciNet  MATH  Google Scholar 

  6. F. C. Jiang, L. Wang. Finite-time information consensus for multi-agent systems with fixed and switching topologies. Physica D: Nonlinear Phenomena, vol. 238, no. 16, pp. 1550–1560, 2009.

    Article  MathSciNet  MATH  Google Scholar 

  7. H. G. Tanner, A. Jadbabaie, G. J. Pappas. Stable flocking of mobile agents. In Proceedings of the 42nd IEEE Conference on Decision and Control, IEEE, Maui, USA, vol. 2, pp. 2010–2021, 2003.

    Google Scholar 

  8. J. Yan, X. P. Guan, F. X. Tan. Target tracking and obstacle avoidance for multi-agent systems. International Journal of Automation and Computing, vol. 7, no. 4, pp. 550–556, 2010.

    Article  Google Scholar 

  9. J. P. Hu, Y. G. Hong. Leader-following coordination of multi-agent systems with coupling time delays. Physica A: Statistical Mechanics and Its Applications, vol. 374, no. 2, pp. 853–863, 2007.

    Article  Google Scholar 

  10. Y. G. Hong, J. P. Hu, L. X. Gao. Tracking control for multiagent consensus with an active leader and variable topology. Automatica, vol. 42, no. 7, pp. 1177–1182, 2006.

    Article  MathSciNet  MATH  Google Scholar 

  11. S. M. Mu, T. G. Chu, L. Wang. Coordinated collective motion in a motile particle group with a leader. Physica A: Statistical Mechanics and Its Applications, vol. 351, no. 2–4, pp. 211–226, 2005.

    Article  Google Scholar 

  12. A. Jadbabaie, J. Lin, A. S. Morse. Coordination of groups of mobile autonomous agents using nearest neighbor rules. IEEE Transactions on Automatic Control, vol. 48, no. 6, pp. 988–1001, 2003.

    Article  MathSciNet  Google Scholar 

  13. J. H. Seo, H. Shim, J. Back. Consensus of high-order linear systems using dynamic output feedback compensator: Low gain approach. Automatica, vol. 45, no. 11, pp. 2659–2664, 2009.

    Article  MATH  Google Scholar 

  14. W. Ren, K. Moore, Y. Q. Chen. High-order consensus algorithms in cooperative vehicle systems. In Proceedings of the 2006 IEEE International Conference on Networking, Sensing and Control, IEEE, Ft. Lauderdale, USA, pp. 457–462, 2006.

    Chapter  Google Scholar 

  15. W. Ni, D. Z. Cheng. Leader-following consensus of multiagent systems under fixed and switching topologies. Systems & Control Letters, vol. 59, no. 3–4, pp. 209–217, 2010.

    Article  MathSciNet  MATH  Google Scholar 

  16. S. E. Tuna. Synchronizing linear systems via partial-state coupling. Automatica, vol. 44, no. 8, pp. 2179–2184, 2008.

    Article  MathSciNet  Google Scholar 

  17. J. H. Wang, D. Z. Cheng, X. M. Hu. Consensus of multiagent linear dynamic systems. Asian Journal of Control, vol. 10, no. 2, pp. 144–155, 2008.

    Article  MathSciNet  Google Scholar 

  18. L. Scardovi, R. Sepulchre. Synchronization in networks of identical linear systems. Automatica, vol. 45, no. 11, pp. 2557–2562, 2009.

    Article  MATH  Google Scholar 

  19. S. E. Tuna. Conditions for synchronizability in arrays of coupled linear systems. IEEE Transactions on Automatic Control, vol. 54, no. 10, pp. 2416–2420, 2009.

    Article  MathSciNet  Google Scholar 

  20. Y. Zhang, A. G. Wu, G. R. Duan. Enhanced H filtering for continuous-time state-delayed systems. International Journal of Automation and Computing, vol. 6, no. 2, pp. 159–163, 2009.

    Article  Google Scholar 

  21. Y. N. Wang. Robotic Intelligence Control Engineering, Beijing, PRC: Science Press, 2004. (in Chinese)

    Google Scholar 

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Correspondence to Zhong-Qiang Wu.

Additional information

Zhong-Qiang Wu received the B. Sc. and M. Sc. degrees in automatic control from Northeast Heavy Machinery Institute, PRC in 1989 and 1992, respectively, and Ph.D. degree in control theory and control engineering from China University of Ming and Technology, PRC in 2003. He is a professor at the Institute of Electrical Engineering Yanshan, University, PRC.

His research interests include robust control, fuzzy control, adaptive control, and robot control systems.

Yang Wang received the B.Eng. degree in automation from Yanshan University, PRC in 2008. She is currently an M. Eng. candidate in intelligent control and pattern recognition at the College of Electrical Engineering, Yanshan University, PRC.

Her research interests include cooperative control of multi-agent systems.

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Wu, ZQ., Wang, Y. Dynamic consensus of high-order multi-agent systems and its application in the motion control of multiple mobile robots. Int. J. Autom. Comput. 9, 54–62 (2012). https://doi.org/10.1007/s11633-012-0616-6

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  • DOI: https://doi.org/10.1007/s11633-012-0616-6

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