edxmorgan

edxmorgan

import casadi as ca

def qr_eigen(A, iterations=100):
    pQ = ca.SX.eye(A.size1())
    X  = ca.SX(A)  # Make a copy in SX
    for _ in range(iterations):
        Q, R = ca.qr(X)   # QR decomposition in CasADi
        pQ   = ca.mtimes(pQ, Q)
        X    = ca.mtimes(R, Q)
    return ca.diag(X), pQ  # (eigenvalues, eigenvectors)

edxmorgan

import socket
import json

def receive_json_data(host='192.168.2.95', port=16171):
    """
    Connects to a TCP server and receives JSON data.

    Args:
        host (str): The server's hostname or IP address.
        port (int): The port number to connect to.

edxmorgan

import asyncio
import aiohttp
import json
import sys
import signal

async def get_vision_position_delta(session, url):
    try:
        async with session.get(url) as response:
            response.raise_for_status()  # Raise exception for HTTP errors

edxmorgan

import asyncio
import json
from urllib.parse import urlparse, parse_qs
import aiohttp
import websockets
import datetime
import csv
import os
import aiofiles

edxmorgan

import numpy as np
import matplotlib.pyplot as plt

class BayesianParameterEstimator:
    def __init__(self, param_min=0.0, param_max=5.0, num_points=500, known_variance=1.0):
        """
        Initialize the Bayesian estimator.
        
        :param param_min: Minimum value of the parameter space
        :param param_max: Maximum value of the parameter space

edxmorgan

I, i_X_p = rig_dyn.model()
Ic_i = []
for i in range(0, ss.n_joints):
    Ic_i.append(I[i])
for i in range(ss.n_joints-1, -1, -1):
    if i != 0:
        p_X_i_f = pluck.inverse_spatial_transform(i_X_p[i]).T
        Ic_i[i-1] = Ic_i[i-1] + p_X_i_f@Ic_i[i]@i_X_p[i]

edxmorgan

#!/usr/bin/env python3
''' Mavlink telemetry (.tlog) file parser.

    Operates as a generator. Allows csv output or listing useful types/fields.
'''

import json
from pathlib import Path
from fnmatch import fnmatch
from pymavlink import mavutil

edxmorgan

% MATLAB Code for Offset-Free MPC Control of Heated Swimming Pool System

% Clear workspace and command window
clear; close all; clc;

% System Parameters
A = 0.7788;
B = 0.0442;
C = 1;       % Output matrix

edxmorgan

% MATLAB Code for Offset-Free MPC Control of Heated Swimming Pool System

% Clear workspace and command window
clear; close all; clc;

% System Parameters
A = 0.7788;
B = 0.0442;
C = 1;       % Output matrix