https://github.com/eric-bradford/ts-emo

This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).

bayesian-optimization black-box-optimization expensive-to-evaluate-functions gaussian-processes genetic-algorithms kriging machine-learning matlab multi-objective-optimization spectral-sampling surrogate-based-optimization thompson-sampling

Last synced: 30 Dec 2024

https://github.com/eric-bradford/ukf-snmpc

This repository contains the source code for “Unscented Kalman filter stochastic nonlinear model predictive control” (UKF-SNMPC).

casadi chemical-engineering differential-equations model-predictive-control nonlinear-optimization python27 robust-control stochastic unscented-transformation

Last synced: 09 Apr 2025

https://github.com/eric-bradford/nominal_nmpc

A basic nonlinear model predictive control implementation using Casadi with Unscented Kalman filter state estimation

automatic-differentiation casadi chemical-engineering control-systems differential-equations model-predictive-control nonlinear-dynamics nonlinear-optimization python3 unscented-kalman-filter

Last synced: 30 Dec 2024

https://github.com/eric-bradford/sdd-gp-mpc

This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).

casadi chemical-engineering constraints differential-equations gaussian-processes machine-learning model-predictive-control monte-carlo-simulation optimization-algorithms python3 state-space-model stochastic-processes

Last synced: 30 Dec 2024

https://github.com/eric-bradford/gp-ma

Source code for Gaussian process modifier adaptation (GP-MA)

chemical-engineering control-systems gaussian-processes matlab nonlinear-optimization trust-region-methods

Last synced: 13 May 2025

https://github.com/eric-bradford/pce-nmpc

This repository contains the source code for "Output feedback stochastic nonlinear model predictive control for batch processes"

Last synced: 10 Apr 2025