Julio Dutra's repositories
Controle_de_Processos_UFES
Aplicação de conceitos da disciplina de Controle de Processos.
API-ESN
Automatic-differentiated Physics-Informed Echo State Network (API-ESN) for the reconstruction of hidden states in dynamical systems. A.Racca and L.Magri, Lecture Notes in Computer Science (2021).
Dynamics-and-Control
Jupyter notebooks for Dynamics and Control
IncorporatingUnmodeledDynamics
Code for the paper "Incorporating unmodeled dynamics into first-principles models through machine learning"
ipynb-lab-metodos-numericos
Laboratório computacional de métodos numéricos
Learning-Python-Physics-Informed-Machine-Learning-PINNs-DeepONets
Physics Informed Machine Learning Tutorials (Pytorch and Jax)
metacontrol
Economic Self-Optimizing Control in a Python toolbox
mr2007-computerized-control
Material for the course MR2007 Computerized Control
NMPC_framework
A NMPC framework for general purposes (nominal, robust, learning ...)
nn-mpc
Control simulation of a mass-spring-damper system using a model-based reinforcement learning algorithm
NUMETHODS
Repositório de material para a disciplina de Métodos Numéricos da UFSM
optimal_control_examples
optimal control problems solved in python
PDEsByNNs
This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means of neural networks using TensorFlow.
pfrnns
Particle Filter Recurrent Neural Networks (AAAI 2020)
PINN
Simple PyTorch Implementation of Physics Informed Neural Network (PINN)
PINNs
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
PINNs-2
PyTorch Implementation of Physics-informed Neural Networks
process_control
A simple python library to estimate first order plus deadtime models and calculate pid values.
ProcessControllerSimulator
Framework for modelling and simulating processes. Allows the implementation of a control strategy on top.
pydens
PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks
python-control
The Python Control Systems Library is a Python module that implements basic operations for analysis and design of feedback control systems.
PythonLinearNonlinearControl
PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.
random_sequence
A ideia inicial é registrar aqui os códigos para geração de sequência de números randômicos para aplicação em problemas de identificação de sistemas.
time-series-analysis
Collection of notebooks for time series analysis
Topicos-de-Controle-Avancado-UFES
Aplicação de conceitos da disciplina de ENG11045 - Tópicos de Controle Avançado