Ejemplo n.º 1
0
    def test_di_integrator_pure_with_complete_guess(self):

        # solve Problem for the first time
        first_guess = {'seed': 20}
        S1 = TransitionProblem(rhs_di,
                               a=0.0,
                               b=2.0,
                               xa=xa_di,
                               xb=xb_di,
                               ua=0,
                               ub=0,
                               show_ir=False,
                               ierr=None,
                               first_guess=first_guess,
                               use_chains=False)
        S1.solve()
        assert S1.reached_accuracy

        first_guess2 = {
            'complete_guess':
            S1.eqs.sol,
            'n_spline_parts':
            aux.Container(x=S1.eqs.trajectories.n_parts_x,
                          u=S1.eqs.trajectories.n_parts_u)
        }
        S2 = S1.create_new_TP(first_guess=first_guess2)
        S2.solve()

        assert S2.reached_accuracy

        # now test changed boundary conditions

        S3 = S2.create_new_TP(first_guess=first_guess2, xb=[1.5, 0.0])
        S3.solve()
        assert S3.reached_accuracy
Ejemplo n.º 2
0
    def test_get_attributes_from_object(self):
        c = aux.Container(x=0, y=1.0, z="abc")
        c.a = 10

        y = aux.get_attributes_from_object(c)
        a, z, x = aux.get_attributes_from_object(c)

        assert a == c.a
        assert z == c.z
        assert x == c.x
        assert y == c.y

        # test whether meaningful exception is raised
        with pytest.raises(NameError):
            _ = aux.get_attributes_from_object(c)
Ejemplo n.º 3
0
        plt.subplot(rows, 2, i + 1)
        plt.plot(tt, data[i], 'b', lw=3, label='sim')
        plt.grid(1)

    # plt.savefig("ivp.pdf")
    print xx[-1, :]
    plt.show()

    # für Animation
    S.sim_data = (tt, xx, uu)
    sys.exit()

elif 0:
    # Simulation is ready, now try to reproduce this solution via collocation

    refsol = aux.Container(tt=tt, xx=xx, uu=uu, n_raise_spline_parts=0)

    #xb = xx2[-1, :]*1.0

    S2 = TransitionProblem(model_rhs,
                           a=Ta,
                           b=Tb,
                           xa=xa,
                           xb=xb,
                           ua=uu[0, :],
                           ub=uu[-1, :],
                           use_chains=False,
                           refsol=refsol,
                           ierr=None,
                           maxIt=3,
                           eps=1e-1,
xa = [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
xb = [pi, pi, pi, 0.0, 0.0, 0.0, 0.0, 0.0]

# S = ControlSystem(model_rhs, Ta, Tb, xa, xb, ua, ub)
# state, u = S.solve()

# constraints for the velocity of the car
# con = {"x7": [-4, 4]}
con = {}

if __name__ == "__main__":

    args = aux.Container(
        poolsize=3, ff=model_rhs, a=Ta, xa=xa, xb=xb, ua=0, ub=0,
        use_chains=False, ierr=None, maxIt=5, eps=4e-1, kx=2, use_std_approach=False,
        seed=[1, 2, 30, 81], constraints=con, show_ir=False, b=2.4 + np.r_[.4, .5]
        )

    if "single" in sys.argv:
        args.b = 3.7
        args.maxIt = 7
        args.dict.pop("poolsize")
        args.show_ir = True
        args.seed = 1
        args.maxIt = 4

        TP1 = TransitionProblem(**args.dict)
        results = xx, uu = TP1.solve()

        # ensure that the result is compatible with system dynamics
Ejemplo n.º 5
0
# con = {"x7": [-4, 4]}
con = {}

if __name__ == "__main__":

    args = aux.Container(
        poolsize=2,
        ff=model_rhs,
        a=Ta,
        xa=xa,
        xb=xb,
        ua=0,
        ub=0,
        use_chains=False,
        ierr=None,
        maxIt=5,
        eps=4e-1,
        kx=2,
        use_std_approach=False,
        seed=[
            1,
        ],
        constraints=con,
        show_ir=True,
        b=3.7  # + np.r_[0, .1, .2, .3, .4, .5]
    )

    if "single" in sys.argv:
        args.b = 3.7
        args.maxIt = 7
        args.dict.pop("poolsize")