RLGCAn open-source platform for applying Reinforcement Learning for Grid Control (RLGC)
Stars: ✭ 85 (+19.72%)
opensim-mocoSolve optimal control problems for musculoskeletal models using OpenSim and direct collocation.
Stars: ✭ 45 (-36.62%)
hascalHascal is a general purpose and open source programming language designed to build optimal, maintainable, reliable and efficient software.
Stars: ✭ 56 (-21.13%)
DiffEqParamEstim.jlEasy scientific machine learning (SciML) parameter estimation with pre-built loss functions
Stars: ✭ 36 (-49.3%)
FloBaRoIDFramework for dynamical system identification of floating-base rigid body tree structures
Stars: ✭ 53 (-25.35%)
pyPESTOpython Parameter EStimation TOolbox
Stars: ✭ 93 (+30.99%)
modest-pyFMI-compliant Model Estimation in Python
Stars: ✭ 40 (-43.66%)
QuasiMonteCarlo.jlLightweight and easy generation of quasi-Monte Carlo sequences with a ton of different methods on one API for easy parameter exploration in scientific machine learning (SciML)
Stars: ✭ 47 (-33.8%)
AMICIAdvanced Multilanguage Interface to CVODES and IDAS
Stars: ✭ 80 (+12.68%)
welltestpyA python-package for handling well based field campaigns.
Stars: ✭ 26 (-63.38%)
parPEParameter estimation for dynamical models using high-performance computing, batch and mini-batch optimizers, and dynamic load balancing.
Stars: ✭ 16 (-77.46%)
pestpptools for scalable and non-intrusive parameter estimation, uncertainty analysis and sensitivity analysis
Stars: ✭ 90 (+26.76%)
TORA.jlTrajectory Optimization for Robot Arms
Stars: ✭ 27 (-61.97%)
krotovPython implementation of Krotov's method for quantum optimal control
Stars: ✭ 46 (-35.21%)
PnCPlanning and Control Algorithms for Robotics
Stars: ✭ 22 (-69.01%)
mpc-DL-controllerDeep Neural Network architecture as a predictive optimal controller for {HVAC+Solar cell + battery} disturbance afflicted system vs classic Model Predictive Control
Stars: ✭ 37 (-47.89%)
ocs2Optimal Control for Switched Systems
Stars: ✭ 263 (+270.42%)
PC3-pytorchPredictive Coding for Locally-Linear Control (ICML-2020)
Stars: ✭ 16 (-77.46%)
dymosOpen Source Optimization of Dynamic Multidisciplinary Systems
Stars: ✭ 128 (+80.28%)
Pontryagin-Differentiable-ProgrammingA unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, control policy, or/and optimal trajectory in a control system.
Stars: ✭ 111 (+56.34%)