X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/desynchronisation-controle.git/blobdiff_plain/89be6c60f83873b92ea5cfa0b5aa488a4a5744be..3649631c9a4a477b2138c83f16ccbcbb2680039d:/exp_controle_asynchrone/simulMWSN.py diff --git a/exp_controle_asynchrone/simulMWSN.py b/exp_controle_asynchrone/simulMWSN.py index 8bbeddb..bf17462 100644 --- a/exp_controle_asynchrone/simulMWSN.py +++ b/exp_controle_asynchrone/simulMWSN.py @@ -6,6 +6,9 @@ import pylab as pb from itertools import * from scipy import optimize as opt from copy import deepcopy +import sys as sy + + error = 0.1 epsilon = 1E-10 vrate = 0.8 @@ -17,6 +20,7 @@ POS = 1 POS_NUL = 2 POSINF1 = 3 init = [] +fichier_init="config_initiale_default.txt" @@ -103,6 +107,7 @@ alpha = 0.5 beta = 1.3E-8 gamma = 55.54 delta = 0.2 +zeta = 0.1 amplifieur = 1 sigma2 = 3500 Bi = 5 @@ -240,7 +245,7 @@ def maj(k,maj_theta,mxg,idxexp): vp = {} for h in V: if not ASYNC or random() < taux_succes: - s = Rh[h]- mt.log(float(sigma2)/D)/(gamma*mt.pow(Ps[h],float(1)/3)) + s = Rh[h]- mt.log(float(sigma2)/D)/(gamma*mt.pow(Ps[h],float(2)/3)) if abs(s) > mxg : print "ds calcul v",abs(s),idxexp mxg = abs(s) @@ -304,14 +309,20 @@ def maj(k,maj_theta,mxg,idxexp): Psp={} #print "maj des des Psh" def f_Ps(psh,h): - #print "ds f_ps",psh, v[h]* mt.log(float(sigma2)/D)/(gamma*((psh**2)**(float(1)/3))) +la[h]*psh - return v[h]* mt.log(float(sigma2)/D)/(gamma*mt.pow(float(2)/3)) +la[h]*psh - for h in V: - if not ASYNC or random() < taux_succes: - lah = 0.05 if la[h] == 0 else la[h] - rep = (float(2*v[h]*mt.log(float(sigma2)/D))/mt.pow(3*gamma*lah,float(3)/5)) - Psp[h] = epsilon if rep <= 0 else rep - else : + #print "ds f_ps",psh, v[h]* mt.log(float(sigma2)/D)/(gamma*((psh**2)**(float(2)/3))) +la[h]*psh + return v[h]* mt.log(float(sigma2)/D)/(gamma*mt.pow(float(2)/3)) +la[h]*psh + for h in V: + if not ASYNC or random() < taux_succes: + """ + lah = 0.05 if la[h] == 0 else la[h] + rep = mt.pow(float(2*v[h]*mt.log(float(sigma2)/D))/(3*gamma*lah),float(3)/5) + Psp[h] = epsilon if rep <= 0 else rep + """ + t= float(-3*la[h]+mt.sqrt(9*(la[h]**2)+64*zeta*v[h]*mt.log(float(sigma2)/D)/gamma))/(16*zeta) + #print t + rep = mt.pow(t,float(3)/5) + Psp[h]=rep + else : Psp[h] = Ps[h] @@ -442,7 +453,20 @@ def initialisation(): -def __evalue_maj_theta__(): +def initialisation_(): + global u, v, la, w, theta , q, Ps, Rh, eta, x,init + fd = open(fichier_init,"r") + l= fd.readline() + init_p = eval(l) + print init_p + theta = omega + (q,Ps,Rh,eta,x,u,v,la,w) = tuple([deepcopy(x) for x in init_p]) + init = [deepcopy(q),deepcopy(Ps),deepcopy(Rh),deepcopy(eta), + deepcopy(x),deepcopy(u),deepcopy(v),deepcopy(la),deepcopy(w)] + + + +def __evalue_maj_theta__(nbexp,out=False): global u, v, la, w, theta , q, Ps, Rh, eta, x, valeurFonctionDuale nbexp = 10 res = {} @@ -450,11 +474,16 @@ def __evalue_maj_theta__(): itermax = 100000 def __maj_theta(k): + mem = [] om = omega/(mt.pow(k,0.75)) return om for idxexp in range(nbexp): mxg = 0 - initialisation() + if not(out): + initialisation() + else : + initialisation_() + k = 1 arret = False sm = 0 @@ -468,6 +497,15 @@ def __evalue_maj_theta__(): if k%100 ==0 : print "k:",k,"erreur sur q", errorq, "et q:",q print "maxg=", mxg + mem = [deepcopy(q),deepcopy(Ps),deepcopy(Rh),deepcopy(eta), + deepcopy(x),deepcopy(u),deepcopy(v),deepcopy(la),deepcopy(w)] + if k%4500 == 0 : + print "#########\n",mem,"\#########\n" + if k%4600 == 0 : + print "#########\n",mem,"\#########\n" + + + if smax - sm > 500: print "variation trop grande" print "init" @@ -479,7 +517,7 @@ def __evalue_maj_theta__(): print "nbre d'iteration trop grand" print "init" print init - exit + sy.exit(1) print "###############" print k