Vivian966's Stars
vipulkumbhar/AuE893_Robust_Predictive_Control
This repository contains classwork and practice examples based on Model Predictive Control. Robust and Stochastic control methods applied to and studied for linear/non-linear plants.
lucasrm25/Gaussian-Process-based-Model-Predictive-Control
Project for the course "Statistical Learning and Stochastic Control" at University of Stuttgart
ngowtham1296/Model-Estimation-of-Non-linear-dynamical-system
The stochastic approach to predict the model estimation is a recently introduced control strategy for the underactuated systems (hopping robot) that allows the system to predict its trajectory movements in the unpredicted environment. In this work, we demonstrate the stochastic approach through Machine Learning technique (Gaussian Mixture Model) which allows us to predict the state information by interpreting with the sample state information of the Hopping robot through a probabilistic approach. The output of this approach will yield us with the desired estimated state of the system. Finally, we are going to hand over our work for applying this estimated policy to the simulated Hopping robot by using an Iterative Linear Quadratic Regulator (iLQR) as a controller which updates the predicted model estimation to the existing control policy of the system to determine its optimal trajectory motion.
Eric-Bradford/UKF-SNMPC
This repository contains the source code for “Unscented Kalman filter stochastic nonlinear model predictive control” (UKF-SNMPC).
currylym/time-series-prediction-learning-record
Learning Record about TSP
mqshen/prml