Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

access icon free Stability analysis for a class of switched systems under perturbations with applications to consensus

This study investigates the stability problem for a class of discrete-time switched systems with stochastic or non-stochastic perturbations. Under the condition that the system matrix is weakly periodic and Hurwitz constrained, we firstly give stability analysis of the system with bounded or (exponentially) convergent perturbations. Then, for the system with perturbations containing stochastic noises, which are subject to a martingale-difference assumption, we give mean square (m.s.) and almost sure (a.s.) convergence results. Both multiplicative noises and additive noises are discussed in this paper. As applications of the stability result, we give m.s. and a.s. consensus conditions for both multi-agent systems (MASs) with relative-state-dependent noises and MASs with additive noises under the weakly periodic switching topology together with a Hurwitz constraint. Compared to the existing consensus results, we do not require the digraphs be balanced and the edge weights be non-negative. We also give a more general form of the statistic properties of the final consensus point compared with the balanced switching topology case. Some examples are given to illustrate the effectiveness of the stability results and the consensus results.

References

    1. 1)
      • 1. Sun, Z., Ge, S.S.: ‘Switched linear systems: control and design’ (Springer-Verlag, London, 2005).
    2. 2)
      • 10. Yang, H., Jiang, B., Cocquempot, V., et al: ‘Stabilization of switched nonlinear systems with all unstable modes: application to multi-agent systems’, IEEE Trans. Autom. Control, 2011, 56, (9), pp. 22302235.
    3. 3)
      • 24. Williams, D.: ‘Probability with martingales’ (Cambridge University Press, Cambridge, 1991).
    4. 4)
      • 11. Xie, G., Wang, L.: ‘Periodic stabilizability of switched linear control systems’, Automatica, 2009, 45, (9), pp. 21412148.
    5. 5)
      • 26. Tian, Y.-P., Zong, S., Cao, Q.: ‘Structural modeling and convergence analysis of consensus-based time synchronization algorithms over networks: non-topological conditions’, Automatica, 2016, 65, pp. 6475.
    6. 6)
      • 6. Feng, W., Tian, J., Wang, Y.: ‘Stability analysis of switched discrete time stochastic systems’. Proc. of the 29th Chinese Control Conf., 2010, pp. 771774.
    7. 7)
      • 8. Feng, W., Tian, J., Zhao, P.: ‘Stability analysis of switched stochastic systems’, Automatica, 2011, 47, (1), pp. 148157.
    8. 8)
      • 7. Allerhand, L.I., Gershon, E., Shaked, U.: ‘State-feedback control of stochastic discrete-time linear switched systems with dwell time’. 2015 European Control Conf. (ECC), 2015, pp. 452457.
    9. 9)
      • 20. Chen, Y., Lu, J., Yu, X., et al: ‘Consensus of discrete-time second-order multiagent systems based on infinite products of general stochastic matrices’, SIAM J. Control Optim., 2013, 51, (4), pp. 32743301.
    10. 10)
      • 4. Kang, Y., Zhai, D., Liu, G., et al: ‘Stability analysis of a class of hybrid stochastic retarded systems under asynchronous switching’, IEEE Trans. Autom. Control, 2014, 59, (6), pp. 15111523.
    11. 11)
      • 9. Xiang, W., Xiao, J.: ‘Stabilization of switched continuous-time systems with all modes unstable via dwell time switching’, Automatica, 2014, 50, (3), pp. 940945.
    12. 12)
      • 30. Huang, M., Manton, J.H.: ‘Coordination and consensus of networked agents with noisy measurements: stochastic algorithms and asymptotic behavior’, SIAM J. Control Optim., 2009, 48, (1), pp. 134161.
    13. 13)
      • 31. Qin, J., Gao, H., Yu, C.: ‘On discrete-time convergence for general linear multi-agent systems under dynamic topology’, IEEE Trans. Autom. Control, 2014, 59, (4), pp. 10541059.
    14. 14)
      • 18. Liu, J., Liu, X., Xie, W.C., et al: ‘Stochastic consensus seeking with communication delays’, Automatica, 2011, 47, (12), pp. 26892696.
    15. 15)
      • 12. Liou, M.-L.: ‘Exact analysis of linear circuits containing periodically operated switches with applications’, IEEE Trans. Circuit Theory, 1972, 19, (2), pp. 146154.
    16. 16)
      • 15. Long, Y., Liu, S., Xie, L.: ‘Distributed consensus of discrete-time multi-agent systems with multiplicative noises’, Int. J. Robust Nonlinear Control, 2015, 25, (16), pp. 31133131.
    17. 17)
      • 23. Polyak, B.T.: ‘Introduction to optimization’ (Optimization Software, New York, 1987).
    18. 18)
      • 29. Blanchini, F., Colaneri, P., Valcher, M.E.: ‘Switched positive linear systems’ (Now Publishers Incorporated, 2015).
    19. 19)
      • 16. Ni, Y.H., Li, X.: ‘Consensus seeking in multi-agent systems with multiplicative measurement noises’, Syst. Control Lett., 2013, 62, (5), pp. 430437.
    20. 20)
      • 19. Altafini, C.: ‘Consensus problems on networks with antagonistic interactions’, IEEE Trans. Autom. Control, 2013, 58, (4), pp. 935946.
    21. 21)
      • 14. Li, T., Wu, F., Zhang, J.F.: ‘Continuous-time multi-agent averaging with relative-state-dependent measurement noises: matrix intensity functions’, IET Control Theory Appl., 2015, 9, (3), pp. 374380.
    22. 22)
      • 13. Bacciotti, A., Mazzi, L.: ‘A discussion about stabilizing periodic and near-periodic switching signals’. IFAC Proc. Volumes, 2010, pp. 250255.
    23. 23)
      • 28. Ren, W., Beard, R.W.: ‘Consensus seeking in multiagent systems under dynamically changing interaction topologies’, IEEE Trans. Autom. Control, 2005, 50, (5), pp. 655661.
    24. 24)
      • 22. Longsine, D., McCormick, S.: ‘Simultaneous rayleigh-quotient minimization methods for Ax=λBx’, Linear Algebra Appl., 1980, 34, pp. 195234.
    25. 25)
      • 27. Cha, J.R., Kim, J.H.: ‘Novel anti-collision algorithms for fast object identification in RFID system’. Proc. Int. Conf. Parallel and Distributed Systems, IEEE, 2005, pp. 6367.
    26. 26)
      • 25. Robbins, H., Siegmund, D.: ‘A convergence theorem for nonnegative almost supermartingales and some applications’, in Lai, T. L., Siegmund, D. (Eds.): ‘Herbert Robbins Selected Papers, (Springer, 1985), pp. 111135.
    27. 27)
      • 21. Yuz, J.I., Goodwin, G.C.: ‘Sampled-data models for linear and nonlinear systems’ (Springer-Verlag, London, 2014).
    28. 28)
      • 3. Xu, H., Teo, K.L.: ‘Exponential stability with l2-gain condition of nonlinear impulsive switched systems’, IEEE Trans. Autom. Control, 2010, 55, (10), pp. 24292433.
    29. 29)
      • 5. Kang, Y., Zhai, D., Liu, G., et al: ‘On input-to-state stability of switched stochastic nonlinear systems under extended asynchronous switching’, IEEE Trans. Cybern., 2016, 46, (5), pp. 10921105.
    30. 30)
      • 2. Zhao, J., Hill, D.J.: ‘On stability, L2-gain and H control for switched systems’, Automatica, 2008, 44, (5), pp. 12201232.
    31. 31)
      • 17. Li, T., Zhang, J.F.: ‘Consensus conditions of multi-agent systems with time-varying topologies and stochastic communication noises’, IEEE Trans. Autom. Control, 2010, 55, (9), pp. 20432057.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-cta.2016.1553
Loading

Related content

content/journals/10.1049/iet-cta.2016.1553
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address