PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.
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Updated
Aug 23, 2021 - Python
PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.
Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models
Open Source Optimization of Dynamic Multidisciplinary Systems
Code for our nips19 paper: You Only Propagate Once: Accelerating Adversarial Training Via Maximal Principle
A 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.
iterative Linear Quadratic Regulator with constraints.
A Stochastic Shortest Path Algorithm for Optimizing Spaced Repetition Scheduling
OpTaS: An optimization-based task specification library for trajectory optimization and model predictive control.
A library for using direct collocation in the optimization of dynamic systems.
An optimization framework that links CasADi, Ipopt, ACADOS and biorbd for Optimal Control Problem
Implementing trajectory optimization on bipedal system
An implementation of iLQR for trajectory synthesis and control
Deep Neural Network architecture as a predictive optimal controller for {HVAC+Solar cell + battery} disturbance afflicted system vs classic Model Predictive Control
Python implementation of Krotov's method for quantum optimal control
Toolset for control, calibration and characterization of physical systems
Model Predictive Control for a quadrotor in static and dynamic environments
A toolbox for trajectory optimization of dynamical systems
A pseudo-spectral collocation based multi-phase Optimal control problem solver
An object-based toolbox for robot dynamic simulation, analysis, control and planning.
An open source playground energy storage environment to explore reinforcement learning and model predictive control.
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