Pinned Repositories
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).
CBT-700-Class-Group
Controle_de_Processos_UFES
Aplicação de conceitos da disciplina de Controle de Processos.
daesolver
Simple DAE solver in Python
dasslc2py
Dasslc is a solver for differential-algebraic equations inspired by DASSL. A python module for dasslc is provided.
dasslcy
Dynamics-and-Control
Jupyter notebooks for Dynamics and Control
FVM
Finite volume method applied to the advection-diffusion equation
IncorporatingUnmodeledDynamics
Code for the paper "Incorporating unmodeled dynamics into first-principles models through machine learning"
intro-numerical-methods
Jupyter notebooks and other materials developed for the Columbia course APMA 4300
juliosdutra's Repositories
juliosdutra/Controle_de_Processos_UFES
Aplicação de conceitos da disciplina de Controle de Processos.
juliosdutra/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).
juliosdutra/CBT-700-Class-Group
juliosdutra/Dynamics-and-Control
Jupyter notebooks for Dynamics and Control
juliosdutra/IncorporatingUnmodeledDynamics
Code for the paper "Incorporating unmodeled dynamics into first-principles models through machine learning"
juliosdutra/ipynb-lab-metodos-numericos
Laboratório computacional de métodos numéricos
juliosdutra/Learning-Python-Physics-Informed-Machine-Learning-PINNs-DeepONets
Physics Informed Machine Learning Tutorials (Pytorch and Jax)
juliosdutra/Machine-Learning-Carbon-Capture-System
juliosdutra/metacontrol
Economic Self-Optimizing Control in a Python toolbox
juliosdutra/mr2007-computerized-control
Material for the course MR2007 Computerized Control
juliosdutra/NMPC_framework
A NMPC framework for general purposes (nominal, robust, learning ...)
juliosdutra/nn-mpc
Control simulation of a mass-spring-damper system using a model-based reinforcement learning algorithm
juliosdutra/numerical_methods_youtube
juliosdutra/NUMETHODS
Repositório de material para a disciplina de Métodos Numéricos da UFSM
juliosdutra/optimal_control_examples
optimal control problems solved in python
juliosdutra/PDEsByNNs
This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means of neural networks using TensorFlow.
juliosdutra/pfrnns
Particle Filter Recurrent Neural Networks (AAAI 2020)
juliosdutra/PINN
Simple PyTorch Implementation of Physics Informed Neural Network (PINN)
juliosdutra/pinn_ode_tutorial
juliosdutra/PINNs
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
juliosdutra/PINNs-2
PyTorch Implementation of Physics-informed Neural Networks
juliosdutra/process_control
A simple python library to estimate first order plus deadtime models and calculate pid values.
juliosdutra/ProcessControllerSimulator
Framework for modelling and simulating processes. Allows the implementation of a control strategy on top.
juliosdutra/pydens
PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks
juliosdutra/python-control
The Python Control Systems Library is a Python module that implements basic operations for analysis and design of feedback control systems.
juliosdutra/PythonLinearNonlinearControl
PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.
juliosdutra/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.
juliosdutra/SpecAnalysis
juliosdutra/time-series-analysis
Collection of notebooks for time series analysis
juliosdutra/Topicos-de-Controle-Avancado-UFES
Aplicação de conceitos da disciplina de ENG11045 - Tópicos de Controle Avançado