{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Particle filtering\n",
"\n",
"In this tutorial we explain how to use `ProbNum` for particle filtering.\n",
"We assume that you have read the tutorial on non-linear filtering."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"from probnum import filtsmooth, randvars, diffeq, randprocs, problems\n",
"from probnum.problems import TimeSeriesRegressionProblem\n",
"from scipy import stats"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"rng = np.random.default_rng(seed=123)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"# Make inline plots vector graphics instead of raster graphics\n",
"%matplotlib inline\n",
"from IPython.display import set_matplotlib_formats\n",
"\n",
"set_matplotlib_formats(\"pdf\", \"svg\")\n",
"\n",
"# Plotting\n",
"import matplotlib.pyplot as plt\n",
"\n",
"plt.style.use(\"../../probnum.mplstyle\")\n",
"\n",
"# Consistent plotting styles for particles and for \"true\" latent states\n",
"particle_style = {\n",
" \"color\": \"C1\",\n",
" \"marker\": \"o\",\n",
" \"markersize\": 5,\n",
" \"linestyle\": \"None\",\n",
" \"alpha\": 0.5,\n",
"}\n",
"latent_state_style = {\"color\": \"C0\", \"linewidth\": 5, \"linestyle\": \"-\", \"alpha\": 0.5}"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Pendulum\n",
"\n",
"We begin with setting up the pendulum problem, which is a standard non-linear test problem. The code below is taken from the non-linear filtering notebook.\n",
"\n",
"We begin by assembling a `NonlinearGaussian` as a model of the prior dynamics."
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"state_dim = 2\n",
"observation_dim = 1\n",
"\n",
"# approx. gravitational constant\n",
"g = 9.81\n",
"delta_t = 0.05\n",
"\n",
"\n",
"def pendulum_rhs(state):\n",
" \"\"\"Right-hand side of an ODE that defines pendulum dynamics\"\"\"\n",
" x1, x2 = state\n",
" y1 = x1 + x2 * delta_t\n",
" y2 = x2 - g * np.sin(x1) * delta_t\n",
" return np.array([y1, y2])\n",
"\n",
"\n",
"def pendulum_jacobian(state):\n",
" \"\"\"Jacobian of the pendulum ODE\"\"\"\n",
" x1, x2 = state\n",
" dy1_dx = [1.0, delta_t]\n",
" dy2_dx = [-g * np.cos(x1) * delta_t, 1.0]\n",
" return np.array([dy1_dx, dy2_dx])\n",
"\n",
"\n",
"dynamics_transition_function = lambda t, state: pendulum_rhs(state)\n",
"dynamics_transition_jacobian_function = lambda t, state: pendulum_jacobian(state)\n",
"\n",
"dynamics_diffusion_matrix = 1.0 * (\n",
" np.diag(np.array([delta_t ** 3 / 3, delta_t]))\n",
" + np.diag(np.array([delta_t ** 2 / 2]), 1)\n",
" + np.diag(np.array([delta_t ** 2 / 2]), -1)\n",
")\n",
"\n",
"# Create discrete, non-linear Gaussian dynamics model\n",
"dynamics_model = randprocs.markov.discrete.NonlinearGaussian(\n",
" input_dim=state_dim,\n",
" output_dim=state_dim,\n",
" state_trans_fun=dynamics_transition_function,\n",
" proc_noise_cov_mat_fun=lambda t: dynamics_diffusion_matrix,\n",
" jacob_state_trans_fun=dynamics_transition_jacobian_function,\n",
")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Next, we set up the measurement model as another discrete, non-linear Gaussian transformation."
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"def pendulum_measurement(state):\n",
" x1, x2 = state\n",
" return np.array([np.sin(x1)])\n",
"\n",
"\n",
"def pendulum_measurement_jacobian(state):\n",
" x1, x2 = state\n",
" return np.array([[np.cos(x1), 0.0]])\n",
"\n",
"\n",
"measurement_function = lambda t, state: pendulum_measurement(state)\n",
"measurement_jacobian_function = lambda t, state: pendulum_measurement_jacobian(state)\n",
"\n",
"measurement_variance = 0.12 ** 2\n",
"measurement_covariance = measurement_variance * np.eye(observation_dim)\n",
"\n",
"# Create discrete, non-linear Gaussian measurement model\n",
"measurement_model = randprocs.markov.discrete.NonlinearGaussian(\n",
" input_dim=state_dim,\n",
" output_dim=observation_dim,\n",
" state_trans_fun=measurement_function,\n",
" proc_noise_cov_mat_fun=lambda t: measurement_covariance,\n",
" jacob_state_trans_fun=measurement_jacobian_function,\n",
")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Finally, we define the initial distribution: a Gaussian random variable. We also generate some artificial observations."
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"mu_0 = np.ones(state_dim)\n",
"sigma_0 = measurement_variance * np.eye(state_dim)\n",
"initial_state_rv = randvars.Normal(mean=mu_0, cov=sigma_0)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now we're essentially good to go. With this setup we could do non-linear Gaussian filtering (extended Kalman filtering, unscented Kalman filtering), but here, we avoid the Gaussian approximations and do particle filtering.\n",
"\n",
"To construct a particle filter, we provide prior, measurement model, and initial RV as well as\n",
"\n",
"* The number of particles: `num_particles`. The larger the better, but also the larger the slower (it is Monte Carlo approximation, after all).\n",
"* A linearized measurement model that is used as an importance density: `linearized_measurement_model`. In ProbNum we implement two types of particle filters: a bootstrap particle filter, that uses the prior as an importance distribution (which always works, but also requires a lot of particles -- this is what is used in `linearized_measurement_model` is left empty), and a particle filter that uses an approximate Gaussian filter as an importance density. In the pendulum example, we do the latter, because the extended Kalman filter has already been proven to be successful."
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"num_particles = 20\n",
"prior_process = randprocs.markov.MarkovProcess(\n",
" transition=dynamics_model, initrv=initial_state_rv, initarg=0.0\n",
")\n",
"importance_distribution = filtsmooth.particle.LinearizationImportanceDistribution.from_ekf(\n",
" dynamics_model\n",
")\n",
"\n",
"# Construct the PF\n",
"pf = filtsmooth.particle.ParticleFilter(\n",
" prior_process,\n",
" rng=rng,\n",
" importance_distribution=importance_distribution,\n",
" num_particles=num_particles,\n",
")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Generate Data for the State-Space Model"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"`statespace.generate_artificial_measurements()` is used to sample both latent states and noisy observations from the specified state space model."
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"time_grid = np.arange(0.0, 3.5, step=delta_t)\n",
"latent_states, observations = randprocs.markov.utils.generate_artificial_measurements(\n",
" rng=rng,\n",
" prior_process=prior_process,\n",
" measmod=measurement_model,\n",
" times=time_grid,\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"regression_problem = TimeSeriesRegressionProblem(\n",
" observations=observations,\n",
" locations=time_grid,\n",
" measurement_models=[measurement_model] * len(time_grid),\n",
")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The remainder is the same `.filter()` interface that we know from Gaussian filtering.\n",
"After applying this method, we plot the mode of the posterior distribution."
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"posterior, _ = pf.filter(regression_problem)"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
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\n",
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