1 #!/usr/bin/env python

     2 # 12.1

     3 # Camacho and Bordon's GPC example; model formation

     4 import os, sys

     5 sys.path += [os.getcwdu() + os.sep + ".." + os.sep + "python"]

     6 

     7 import pylab as pl

     8 from xdync import xdync

     9 from polyfuncs import polmul

    10 

    11 A, dA = pl.array([1, -0.8]), 1

    12 B, dB = pl.array([0.4, 0.6]), 1

    13 N=3

    14 k=1

    15 D, dD = pl.array([1, -1]), 1

    16 AD, dAD = pl.convolve(A,D), dA+1

    17 Nu = N+k

    18 zj, dzj = 1, 0

    19 G = pl.zeros((Nu, 1))

    20 H1 = pl.zeros((Nu, k-1+dB))

    21 H2 = pl.zeros((Nu, dA+1))

    22 

    23 for j in range(Nu):

    24     zj = pl.convolve(zj, [0,1])

    25     dzj = dzj + 1

    26     Fj, dFj, Ej, dEj = xdync(zj, dzj, AD, dAD, 1, 0)[:4]

    27     Gj, dGj = polmul(B, dB, Ej, dEj)

    28     m, n = G.shape

    29     G = pl.column_stack((G, pl.zeros((m, dGj-n))))

    30     G[j, :dGj] = Gj[dGj-1::-1]

    31     H1[j,:k-1+dB] = Gj[dGj:dGj+k-1+dB]

    32     H2[j,0:dA+1] = Fj

    33 

    34 print "G"

    35 print G

    36 print "H1"

    37 print H1

    38 print "H2"

    39 print H2