Model of oscillatory network that uses Landau-Stuart oscillator and Kuramoto model as a synchronization mechanism. More...
Public Member Functions | |
def | __init__ (self, num_osc, factor_frequency=1.0, factor_radius=1.0, factor_coupling=1.0, type_conn=conn_type.ALL_TO_ALL, representation=conn_represent.MATRIX) |
Constructor of oscillatory network based on synchronization Kuramoto model and Landau-Stuart oscillator. More... | |
def | simulate (self, steps, time, collect_dynamic=False) |
Performs static simulation of oscillatory network. More... | |
Public Member Functions inherited from pyclustering.nnet.network | |
def | height (self) |
Height of the network grid (that is defined by amout of oscillators in each column), this value is zero in case of non-grid structure. More... | |
def | width (self) |
Width of the network grid, this value is zero in case of non-grid structure. More... | |
def | structure (self) |
Type of network structure that is used for connecting oscillators. | |
def | __init__ (self, num_osc, type_conn=conn_type.ALL_TO_ALL, conn_repr=conn_represent.MATRIX, height=None, width=None) |
Constructor of the network. More... | |
def | __len__ (self) |
Returns size of the network that is defined by amount of oscillators. | |
def | has_connection (self, i, j) |
Returns True if there is connection between i and j oscillators and False - if connection doesn't exist. More... | |
def | set_connection (self, i, j) |
Couples two specified oscillators in the network with dynamic connections. More... | |
def | get_neighbors (self, index) |
Finds neighbors of the oscillator with specified index. More... | |
Model of oscillatory network that uses Landau-Stuart oscillator and Kuramoto model as a synchronization mechanism.
Dynamic of each oscillator in the network is described by following differential Landau-Stuart equation with feedback:
Where left part of the equation is Landau-Stuart equation and the right is a Kuramoto model for synchronization. For solving this equation Runge-Kutta 4 method is used by default.
Example:
Example of output dynamic of the network:
def pyclustering.nnet.fsync.fsync_network.__init__ | ( | self, | |
num_osc, | |||
factor_frequency = 1.0 , |
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factor_radius = 1.0 , |
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factor_coupling = 1.0 , |
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type_conn = conn_type.ALL_TO_ALL , |
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representation = conn_represent.MATRIX |
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) |
Constructor of oscillatory network based on synchronization Kuramoto model and Landau-Stuart oscillator.
[in] | num_osc | (uint): Amount oscillators in the network. |
[in] | factor_frequency | (double|list): Frequency of oscillators, it can be specified as common value for all oscillators by single double value and for each separately by list. |
[in] | factor_radius | (double|list): Radius of oscillators that affects amplitude, it can be specified as common value for all oscillators by single double value and for each separately by list. |
[in] | factor_coupling | (double): Coupling strength between oscillators. |
[in] | type_conn | (conn_type): Type of connection between oscillators in the network (all-to-all, grid, bidirectional list, etc.). |
[in] | representation | (conn_represent): Internal representation of connection in the network: matrix or list. |
def pyclustering.nnet.fsync.fsync_network.simulate | ( | self, | |
steps, | |||
time, | |||
collect_dynamic = False |
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) |
Performs static simulation of oscillatory network.
[in] | steps | (uint): Number simulation steps. |
[in] | time | (double): Time of simulation. |
[in] | collect_dynamic | (bool): If True - returns whole dynamic of oscillatory network, otherwise returns only last values of dynamics. |