def makeMhe(dae,N,dt): from rawe.ocp import Ocp mhe = Ocp(dae, N=N, ts=dt) ocpOpts = rawe.OcpExportOptions() ocpOpts['HESSIAN_APPROXIMATION'] = 'GAUSS_NEWTON' ocpOpts['DISCRETIZATION_TYPE'] = 'MULTIPLE_SHOOTING' ocpOpts['QP_SOLVER'] = 'QP_QPOASES' ocpOpts['HOTSTART_QP'] = False ocpOpts['SPARSE_QP_SOLUTION'] = 'CONDENSING' # ocpOpts['SPARSE_QP_SOLUTION'] = 'FULL_CONDENSING_U2' # ocpOpts['AX_NUM_QP_ITERATIONS'] = '30' ocpOpts['FIX_INITIAL_STATE'] = False # mhe.minimizeLsq(C.veccat([mhe['x'],mhe['u']])) # mhe.minimizeLsqEndTerm(C.veccat([mhe['x']])) mhe.minimizeLsq(mhe['measurements']) mhe.minimizeLsqEndTerm(mhe['measurementsN']) cgOpts = {'CXX':'g++', 'CC':'gcc'} print "makeMhe calling rawe.OcpRT" return rawe.OcpRT(mhe, ocpOptions=ocpOpts, integratorOptions=intOpts, codegenOptions=cgOpts)