This repository contains the source code for “Unscented Kalman filter stochastic nonlinear model predictive control” (UKF-SNMPC).
MIT License
Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algo...
A Python package for Bayesian forecasting with object-oriented design and probabilistic models un...
Python codes for advanced control
Estimation and hypothesis tests of calibration in Python using CalibrationErrors.jl and Calibrati...
Working directory for dynamics learning for experimental robots.
An extremely fast propagator for Python, in Python
Prediction and inference procedures for synthetic control methods with multiple treated units and...
Control Engineering with Python
Implementation of the GPCM and variations
Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter...
OpTaS: An optimization-based task specification library for trajectory optimization and model pre...
Some Python Implementations of the Kalman Filter
A Python implementation of global optimization with gaussian processes.
Libraries for OpenSimAD - OpenSim with support for Algorithmic Differentiation