Deep Neural Network architecture as a predictive optimal controller for {HVAC+Solar cell + battery} disturbance afflicted system vs classic Model Predictive Control
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Updated
May 1, 2019 - Python
Deep Neural Network architecture as a predictive optimal controller for {HVAC+Solar cell + battery} disturbance afflicted system vs classic Model Predictive Control
A small project employing casadi's algorithmic differentiation toolkit to implement a gradient descent optimization algorithm for a discretized minimal surface problem
everything about optimization
This repo will implement Bayesian optimization using PYRO
A basic nonlinear model predictive control implementation using Casadi with Unscented Kalman filter state estimation
Implementing trajectory optimization on bipedal system
Join my journey to learn Numerical Optimization and Optimal Control
This repository contains the source code for “Unscented Kalman filter stochastic nonlinear model predictive control” (UKF-SNMPC).
This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).
This repository is an implementation of the work from Mohamed W. Mehrez. I convert the original code in MATLAB to the Python
MPC pathtracking implementation with python, solved by PANOC/IPOPT
A toolkit for testing control and planning algorithm for car racing.
Version 2.0 of Kineverse, a framework for modeling kinematics for robotic manipulation and control.
Rigid transform using Lie groups and Dual Quaternions, written in CasADi!
A class to integrate ordinary differential equations using cvodes
This repository has the code for the nonlinear model predictive controller for target tracking problems with the use of Casadi framework and Matlab simulation environment. 🏎️
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