v0 = [0, 0]
w0 = 0
hipOffset = {'front': {'x': 0.5, 'z': -0.25}, 'hind': {'x': -0.5, 'z': -0.25}}
matlab_hopper = eng.Hopper(legLength, hipOffset)
hop = Hopper(N, eng, matlab_hopper)
# hop.mdt_precision = int(ceil(-np.log2(desiredPrecision)))
hop.dtBounds = tuple((1/sqrt(legLength/9.81))*np.array([0.05, 0.2]))
hop.dtNom = 0.04*(1/sqrt(legLength/9.81))
hop.rotationMax = np.pi/8
hop.nOrientationSectors = 1 #int(floor(np.pi/8/desiredPrecision))
print 'hop.nOrientationSectors = %d' % hop.nOrientationSectors
hop.velocityMax = 3.
hop.positionMax = 1.5*rf[0]/legLength
hop.forceMax = 3.
hop.angularVelocityMax = 5.
addThreePlatfomWorld(hop, legLength, 0.3*legLength)
#addFlatWorld(hop, legLength)
hop.constructVisualizer()
m_nlp = hop.constructPyomoModel()
def normL2(m, var):
index = var.index_set()
return sum(var[i]**2 for i in index)
def normL1(m, var):
index = var.index_set()
slackName = '%sSlacks' % var.cname()
lbName = '%sLB' % slackName
ubName = '%sUB' % slackName
slackMax = max([max(np.abs(var[i].bounds)) for i in index])
setattr(m, slackName, Var(index, bounds=(0.0, slackMax)))
