Kalman-and-Bayesian-Filters-in-Python/experiments/Untitled1.ipynb

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   "cells": [
    {
     "cell_type": "heading",
     "level": 1,
     "metadata": {},
     "source": [
      "Complementary Filter"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Convert continuous transfer function into discrete\n",
      "\n"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import scipy.signal as sig\n",
      "from math import sqrt\n",
      "\n",
      "dt = 0.01\n",
      "ki = 0.1**2\n",
      "kp = sqrt(2)*0.1\n",
      "\n",
      "num = [kp, ki]\n",
      "den = [1, 0.]\n",
      "sig.cont2discrete(sys=(num,den), dt=0.1)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 8,
       "text": [
        "(array([[ 0.14142136, -0.14042136]]), array([ 1., -1.]), 0.1)"
       ]
      }
     ],
     "prompt_number": 8
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "a = 5\n",
      "num = [a, 0]\n",
      "den = [a, 1]\n",
      "sig.cont2discrete(sys=(num,den), dt=0.1)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 11,
       "text": [
        "(array([[ 1., -1.]]), array([ 1.        , -0.98019867]), 0.1)"
       ]
      }
     ],
     "prompt_number": 11
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from sympy import *\n",
      "from sympy.abc import *\n",
      "a = Symbol('a', positive=True)\n",
      "foo = (s/(s+a)).rewrite()\n",
      "print(foo)\n",
      "inverse_laplace_transform(1/((s+a)), s, t)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "s/(a + s)\n"
       ]
      },
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 39,
       "text": [
        "exp(-a*t)*Heaviside(t)"
       ]
      }
     ],
     "prompt_number": 39
    },
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     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
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