\`x^2+y_1+z_12^34\`
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Networks of Piecewise smooth Filippov systems and stability of synchronous periodic orbits

  • *Corresponding author: Luca Dieci

    *Corresponding author: Luca Dieci 

This work has been partially supported by the GNCS-Indam group and the PRIN2017 [2017E844SL].

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  • In this work, we considered networks of piecewise- smooth (PWS) differential equations of Filippov type, which we call PWS Filippov networks, whose single agent has an asymptotically stable periodic orbit, that becomes a synchronous periodic orbit for the network. We investigated the stability of the synchronous periodic orbit by using both the master stability function (MSF) tool and direct integration of the "regularized network'', that is the network obtained by replacing the PWS differential agents by a suitable smooth approximation. We present several new results on the class of Filippov PWS networks that depend on several coupling matrices. (i) We studied an associated MSF that depends on several coupling strengths, and (ii) we employed a one-parameter family of regularized networks, observed that it is equivalent to a network of regularized agents, and showed that its solutions converge to the solutions of the PWS network as the regularization parameter goes to 0. Furthermore, when the synchronous periodic orbit is asymptotically stable and does not slide on the discontinuity surface, (iii) we showed that the regularized network has an asymptotically stable synchronous periodic orbit as well. Finally, (iv) we performed detailed numerical experiments on two different problems, highlighting specific characteristics of PWS networks with a synchronous periodic orbit. More specifically, (a) first, we considered the case of a network of planar PWS oscillators, with the network depending on two different coupling parameters and the synchronous periodic trajectory undergoing sliding regime; then, (b) we considered a network where the single agent obeys 3D PWS dynamics with the synchronous periodic orbit undergoing repeated crossing of two distinct discontinuity planes. On our two problems, we also showed how the convergence behavior to the synchronous subspace can be used to obtain the same rates of attractivity predicted by the MSF.

    Mathematics Subject Classification: Primary: 34A36, 34D06; Secondary: 34D08.

    Citation:

    \begin{equation} \\ \end{equation}
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  • Figure 1.  Model periodic orbit of (4) with generic events

    Figure 2.  Stick slip coupled oscillators

    Figure 3.  Equation (33). Stability region in function of $ \eta_1 $ and $ \eta_2 $. Dark dots indicate stability

    Figure 4.  Regularization of equation (33), $ \epsilon = 0.01 $. Synchronization of 32 oscillators for viscous coupling

    Figure 5.  Synchronization intervals for (33) with $ E_1 $ only on the left (i.e., $ \sigma_2 = 0 $) and for $ E_1+E_2 $ on the right

    Figure 6.  Equation (33). Numerical investigation of flip bifurcation. Left: invariant curve for two coupled oscillators and $ \sigma_1 = 2.6 $. The two agents are not synchronized but there is a phase shift between the two. Right: invariant curve for two coupled oscillators and $ \sigma_1 = 2.512 $

    Figure 7.  Equation (35). Synchronization region in the $ (\eta_1, \eta_2) $-plane. There is no synchronization in the white part of the figure

    Figure 8.  Equation (35). $ N = 8 $, $ \sigma_1 = 1.95 $, $ \sigma_2 = 0.03 $. Left: Convergence to synchronous periodic orbit. Right: Transient behavior and convergence for the first agent

    Figure 9.  Equation (35), with matrices $ E_1 $ and $ E_2 $ as in (37), Synchronization region in the $ (\eta_1-\eta_2) $-plane. There is no synchronization in the white region on the bottom left of the figure

    Figure 10.  Convergence rates and line of best fit for the errors. Left: Example 3.1. Right: Example 3.2

    Table 1.  Equation (33). Synchronization intervals for $ \sigma_2 = 0 $. Values of $ \eta_1 $ must be in the intervals $ [\alpha_{2i+1}, \alpha_{2(i+1)}] $, $ i = 0, \ldots, 7 $, to ensure stability of synchronous periodic orbit for just elastic coupling $ E_1 $

    $ \alpha_{2i+1} $ $ \alpha_{2(i+1)} $
    2.0521 2.2022
    5.3053 5.5556
    9.6096 9.9600
    14.9650 15.4154
    21.3714 21.9219
    28.9289 29.5295
    37.4875 38.1882
    47.1972 47.9479
     | Show Table
    DownLoad: CSV

    Table 2.  $ \sigma_{\min} $ is the minimum value of $ \sigma $ required in order to stably synchronize $ N $ agents coupled with matrix $ E_1+E_2 $

    N $ \sigma_{\min} $
    4 1.7234
    8 6.6349
    16 26.2845
    32 104.8850
     | Show Table
    DownLoad: CSV
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